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How to Introduce New Topics and Transition Effectively in Essays

Last Updated: March 19, 2024 Fact Checked

New Paragraphs

New sections, expert q&a.

This article was co-authored by Jake Adams . Jake Adams is an academic tutor and the owner of Simplifi EDU, a Santa Monica, California based online tutoring business offering learning resources and online tutors for academic subjects K-College, SAT & ACT prep, and college admissions applications. With over 14 years of professional tutoring experience, Jake is dedicated to providing his clients the very best online tutoring experience and access to a network of excellent undergraduate and graduate-level tutors from top colleges all over the nation. Jake holds a BS in International Business and Marketing from Pepperdine University. There are 8 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 88,294 times.

Most essays have multiple topics, and switching between them can get tricky. Without strong transitions and introductions to new points, your writing could seem choppy or unfocused. Luckily, making good topic introductions is easy! It just takes some planning, practice, and patience. Once you know the formula, you’ll be introducing new topics like a pro.

Effective Ways to Introduce New Essay Topics

  • Introduce the topic with a transition word, like “Similarly” or “Likewise.”
  • Use a contrasting transition word for clashing topics, like “However” or “Yet.”
  • Give an overview of the topic you’re discussing after the introductory sentence.

Step 1 Organize a strong...

  • A strong outline includes your overall topic idea, planned thesis statement, essay structure, and the topics and themes you'll be covering in each section.
  • Note on your outline when you're going to be introducing new topics. This helps you plan ahead and anticipate where you'll need transitions.

Jake Adams

  • If you've already started your paper, it never hurts to go back and write an outline anyway. This way, you can keep all your thoughts organized and give your essay more direction.

Step 2 Make a new paragraph for new topics within the same section.

  • For example, you may be writing a large paper about the Civil War, and the current section is about arguments over slavery. You can have one part on Southern arguments defending slavery, then transition to Northern arguments against slavery, since both topics are in the same section.
  • Usually for a shorter paper, up to about 5-7 pages, you won’t need individual section headings. It’s fine to just transition from paragraph to paragraph in these cases.

Step 3 Start a new section if you’re introducing a completely different topic.

  • For example, if your paper is about the Civil War and you’re transitioning from arguments over slavery to the outbreak of the war, then it’s worthwhile to make a whole new section. These topics are related, but distinct and important enough to get their own sections.
  • In another example, you might be writing a compare and contrast essay. It’s helpful to start a new section labeled “Differences” when you move from comparing to contrasting.
  • Individual section headings are common in longer papers, around 15-20 pages or more. For long papers like this, it helps your reader stay focused.

Step 4 Pick complementary transition words for similar topics.

  • Similarly, in the same way, likewise, also, as well, and so too.
  • For example, start a paragraph about slavery and the Civil War with, “In the same way that northern abolitionists were singularly focused on eliminating slavery, the Republican Party was concerned with stopping it from spreading into America's territories.”

Step 5 Use contrasting transition words for topics that clash.

  • In contrast, however, nevertheless, yet, and still.
  • For the Civil War example, arguments defending and criticizing slavery are completely different. To reflect that, you’d use a transition indicating disagreement. You could say “In sharp contrast to southern slave owners, northern abolitionists argued that enslaving a human being was evil in all circumstances.”

Step 1 Place your transition...

  • If you’re showing contrast, you could say, “Yet King Arthur was destined to fail in his quest to find the Holy Grail.” This shows that the previous topic may have been about Arthur starting his quest, but now you’ll explain how he failed to accomplish it.
  • You could also show similarity by saying “Similarly, Abraham Lincoln agreed that slavery was a moral evil.” This indicates that the new topic you’re introducing is related to and supports the previous one.

Step 2 Provide a brief overview of the topic you’re moving on to.

  • You could also follow up on the King Arthur example with “In Arthurian stories, Arthur made numerous journeys to find the Grail, but never actually succeeded.” This tells the reader that the rest of the paragraph will include information on these failures.
  • Using the Abraham Lincoln example, you could follow up your topic sentence with “Throughout his entire life, Lincoln saw the evils of slavery and spoke about stopping the practice.” This indicates that the paragraph will elaborate on this point and provide more details.

Step 3 Add necessary details about the topic in the middle of the paragraph.

  • For the King Arthur example, you can spend 2-4 sentences explaining Arthur's unsuccessful quests for the Grail. This supports your transition statement saying that Arthur failed to find the Grail.
  • Make sure the details you fill in line up with your topic sentence. If your topic sentence said that Abraham Lincoln was anti-slavery, it wouldn’t be consistent to introduce examples of him supporting or praising slavery.

Step 4 Wrap up the paragraph with a firm conclusion sentence.

  • A conclusion for your King Arthur paragraph could be “Hard as Arthur tried, he never found the Holy Grail.”
  • Don’t introduce any new topics in the conclusion sentence. Save that for the topic sentence of the next paragraph if you want to add another topic.
  • If you have a similar paragraph after this one, you can link them by giving a hint of where it's going. For example, you could conclude by saying "Abraham Lincoln's lifelong opposition to slavery naturally set him up for a career fighting the institution." Then make the next paragraph about Lincoln's political career. [12] X Research source

Step 1 Place your transition phrase at the beginning of your topic sentence.

  • You can use transitional language without a ton of detail. For example, “While Odysseus was glad to be home, there was trouble brewing in his kingdom.” This provides a strong transition, hints at the next topic, and gets the reader interested in continuing.

Step 2 Sum up the topic of the previous section.

  • For the Odysseus example, your previous section may have been about the events of The Odyssey . You could sum up the previous topic by saying “He had spent 20 years away from home—10 fighting the Trojan War and 10 on his journey back to Ithaca—and conquered every challenge that came his way.”
  • Don’t spend too much time on this summary. Wrap it up within 2 sentences at most.

Step 3 Provide a concise summary of the topic in this section.

  • You could give a quick introduction of how the suitors in the Odyssey had moved in to Odysseus’ home and would attack him when he arrived. This sets up the challenge and tension for this new topic, and sets the theme for this section of your essay.

Step 4 End the paragraph with a strong conclusion sentence.

  • For the Odysseus example, a strong conclusion would be “Perhaps this was to be Odysseus’ greatest challenge yet.”
  • In a more research-based paper, you can be less literary. For example, “In the end, the Constitutional Convention was a success, but only after the Framers overcame numerous challenges in the process.”

Jake Adams

  • It’s easier to plan your transitions if you outline your essay first. This way, you’ll know where you need to introduce new topics. Thanks Helpful 0 Not Helpful 0
  • If your professor or teacher mentions that your writing seems choppy, then you probably need to work on introducing new topics a bit more smoothly. Thanks Helpful 0 Not Helpful 0
  • If you still have trouble making strong transitions, take advantage of your school’s writing center if you have one. The tutors there can be a huge help. Thanks Helpful 0 Not Helpful 0

how to introduce a new paragraph in an essay

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  • ↑ https://writingcenter.unc.edu/tips-and-tools/transitions/
  • ↑ Jake Adams. Academic Tutor & Test Prep Specialist. Expert Interview. 24 July 2020.
  • ↑ https://www.strose.edu/wp-content/uploads/2015/10/Transition-Sentences-Handout-2012B.pdf
  • ↑ https://monroecollege.libguides.com/c.php?g=589208&p=4072926
  • ↑ https://owl.purdue.edu/owl/general_writing/mechanics/transitions_and_transitional_devices/index.html
  • ↑ https://www.sheffield.ac.uk/ssid/301/study-skills/writing/academic-writing/paragraph-flow-connectivity
  • ↑ https://www.delmar.edu/offices/swc/_resources/Composition/topic-sentence-transition-formula.pdf
  • ↑ https://writingcenter.fas.harvard.edu/pages/ending-essay-conclusions

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105 Best Words To Start A Paragraph

words to start a paragraph, explained below

The first words of a paragraph are crucial as they set the tone and inform the reader about the content that follows.

Known as the ‘topic’ sentence, the first sentence of the paragraph should clearly convey the paragraph’s main idea. 

This article presents a comprehensive list of the best words to start a paragraph, be it the first, second, third, or concluding paragraph.

Words to Start an Introduction Paragraph

The words you choose for starting an essay should establish the context, importance, or conflict of your topic.

The purpose of an introduction is to provide the reader with a clear understanding of the topic, its significance, and the structure of the ensuing discussion or argument.

Students often struggle to think of ways to start introductions because they may feel overwhelmed by the need to effectively summarize and contextualize their topic, capture the reader’s interest, and provide a roadmap for the rest of the paper, all while trying to create a strong first impression.

Choose one of these example words to start an introduction to get yourself started:

  • The debate surrounding [topic]…
  • [Topic] has garnered attention due to…
  • Exploring the complexities of [topic]…
  • The significance of [topic] lies in…
  • Over the past decade, [topic] has…
  • The critical question of [topic]…
  • As society grapples with [topic]…
  • The rapidly evolving landscape of [topic]…
  • A closer examination of [topic] reveals…
  • The ongoing conversation around [topic]…
Don’t Miss my Article: 33 Words to Avoid in an Essay

Words to Start a Body Paragraph

The purpose of a body paragraph in an essay is to develop and support the main argument, presenting evidence, examples, and analysis that contribute to the overall thesis.

Students may struggle to think of ways to start body paragraphs because they need to find appropriate transition words or phrases that seamlessly connect the paragraphs, while also introducing a new idea or evidence that builds on the previous points.

This can be challenging, as students must carefully balance the need for continuity and logical flow with the introduction of fresh perspectives.

Try some of these paragraph starters if you’re stuck:

  • Building upon previous research…
  • As [source] suggests, [topic]…
  • Analyzing [topic] through [theory]…
  • Considering the impact of [policy]…
  • Delving deeper into [topic]…
  • Drawing from [author]’s findings…
  • [Topic] intersects with [related topic]…
  • Contrary to popular belief, [topic]…
  • The historical context of [topic]…
  • Addressing the challenges of [topic]…

Words to Start a Conclusion Paragraph

The conclusion paragraph wraps up your essay and leaves a lasting impression on the reader.

It should convincingly summarize your thesis and main points. For more tips on writing a compelling conclusion, consider the following examples of ways to say “in conclusion”:

  • In summary, [topic] demonstrates…
  • The evidence overwhelmingly suggests…
  • Taking all factors into account…
  • In light of the analysis, [topic]…
  • Ultimately, [topic] plays a crucial role…
  • In light of these findings…
  • Weighing the pros and cons of [topic]…
  • By synthesizing the key points…
  • The interplay of factors in [topic]…
  • [Topic] leaves us with important implications…

Complete List of Transition Words

Above, I’ve provided 30 different examples of phrases you can copy and paste to get started on your paragraphs.

Let’s finish strong with a comprehensive list of transition words you can mix and match to start any paragraph you want:

  • Secondly, …
  • In addition, …
  • Furthermore, …
  • Moreover, …
  • On the other hand, …
  • In contrast, …
  • Conversely, …
  • Despite this, …
  • Nevertheless, …
  • Although, …
  • As a result, …
  • Consequently, …
  • Therefore, …
  • Additionally, …
  • Simultaneously, …
  • Meanwhile, …
  • In comparison, …
  • Comparatively, …
  • As previously mentioned, …
  • For instance, …
  • For example, …
  • Specifically, …
  • In particular, …
  • Significantly, …
  • Interestingly, …
  • Surprisingly, …
  • Importantly, …
  • According to [source], …
  • As [source] states, …
  • As [source] suggests, …
  • In the context of, …
  • In light of, …
  • Taking into consideration, …
  • Given that, …
  • Considering the fact that, …
  • Bearing in mind, …
  • To illustrate, …
  • To demonstrate, …
  • To clarify, …
  • To put it simply, …
  • In other words, …
  • To reiterate, …
  • As a matter of fact, …
  • Undoubtedly, …
  • Unquestionably, …
  • Without a doubt, …
  • It is worth noting that, …
  • One could argue that, …
  • It is essential to highlight, …
  • It is important to emphasize, …
  • It is crucial to mention, …
  • When examining, …
  • In terms of, …
  • With regards to, …
  • In relation to, …
  • As a consequence, …
  • As an illustration, …
  • As evidence, …
  • Based on [source], …
  • Building upon, …
  • By the same token, …
  • In the same vein, …
  • In support of this, …
  • In line with, …
  • To further support, …
  • To substantiate, …
  • To provide context, …
  • To put this into perspective, …

Tip: Use Right-Branching Sentences to Start your Paragraphs

Sentences should have the key information front-loaded. This makes them easier to read. So, start your sentence with the key information!

To understand this, you need to understand two contrasting types of sentences:

  • Left-branching sentences , also known as front-loaded sentences, begin with the main subject and verb, followed by modifiers, additional information, or clauses.
  • Right-branching sentences , or back-loaded sentences, start with modifiers, introductory phrases, or clauses, leading to the main subject and verb later in the sentence.

In academic writing, left-branching or front-loaded sentences are generally considered easier to read and more authoritative.

This is because they present the core information—the subject and the verb—at the beginning, making it easier for readers to understand the main point of the sentence.

Front-loading also creates a clear and straightforward sentence structure, which is preferred in academic writing for its clarity and conciseness.

Right-branching or back-loaded sentences, with their more complex and sometimes convoluted structure, can be more challenging for readers to follow and may lead to confusion or misinterpretation.

Take these examples where I’ve highlighted the subject of the sentence in bold. Note that in the right-branching sentences, the topic is front-loaded.

  • Right Branching: Researchers found a strong correlation between sleep and cognitive function after analyzing the data from various studies.
  • Left-Branching: After analyzing the data from various studies, a strong correlation between sleep and cognitive function was found by researchers.
  • The novel was filled with vivid imagery and thought-provoking themes , which captivated the audience from the very first chapter.
  • Captivating the audience from the very first chapter, the novel was filled with vivid imagery and thought-provoking themes.

The words you choose to start a paragraph are crucial for setting the tone, establishing context, and ensuring a smooth flow throughout your essay.

By carefully selecting the best words for each type of paragraph, you can create a coherent, engaging, and persuasive piece of writing.

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How To Start A New Paragraph: A How-To Guide and Top Tips

Here, we’ll explore what you need to know about how to start a new paragraph, from developing a topic sentence to using transition words smoothly.

We’ve all been there: working through a challenging topic and figuring out how to carry your reader through smoothly and coherently. You must understand how to create a stellar paragraph and how to transition from one paragraph to the next to help your reader follow your thoughts. If you know the thesis of your writing and you have a solid outline of what you’d like to say, it’s time to start building your body paragraphs, one by one.

You must understand both when and how to create a new paragraph. This will depend mainly on the type of writing you’re doing (more on that later). When you create a new paragraph, you must tell your reader what your paragraph will discuss (in the case of a body paragraph) without giving away everything you’re about to say. This can prove tricky, and if you find that you’re struggling to create topic sentences that don’t give away all of your details, you likely need to develop meatier ideas to support your general thesis.

Here, we’ll explore everything you need to know about how and when to start a new paragraph, how to use transition words to take your reader from one idea to the next flawlessly, and how to switch up your new paragraph style depending on whether you’re writing an academic or narrative piece.

When To Start A New Paragraph: Your How-To Guide

1. use new paragraphs for new topics, 2. create a topic sentence, 3. use transition words to move to a new idea, 4. know your formatting rules, 5. use quotation marks and dialogue to tell your story, starting a new paragraph: quick tips, 1. spacing between paragraphs, 2. paragraphs in different types of writing.

Readers generally don’t like big blocks of text , and it can be overwhelming for your reader to see large paragraphs without breaks to indicate a new idea. About five sentences per paragraph is a good rule of thumb to follow, but there’s no need for all of your paragraphs to follow this strictly.

Generally, each paragraph should introduce a new concept or idea. However, this can look different in academic and narrative writing. Academic writing generally starts a new paragraph each time you introduce a new point. In contrast, narrative writing uses a new paragraph to introduce small events that further the storyline or narrative concept.

If you glance over your text and find that you have a large block that could appear intimidating to your reader, find places to break up your writing. For example, develop large paragraphs into two or three ideas, or pare down your writing to be more concise if you want to stick with a single paragraph. You might also be interested in our list of paragraph writing topics .

A new paragraph should serve as a transition to a new topic or supporting point. Utilizing your outline, be sure that your paragraphs serve as a separate, clear point supporting your thesis. If you find that two or more of your paragraphs are very similar and rely on the same supporting points, see if you can condense your writing, making room for additional points that support your thesis.

How to start a new paragraph: Create a topic sentence

When writing academically, you’ll want to begin each new paragraph with a topic sentence that introduces your supporting points. After you create your outline for your work, it’s also good to write the topic sentence for each paragraph. Many writers find that it’s easier to do this all at once instead of trying to come up with a topic sentence each time you transition to a new idea once your writing is started.

Your topic sentence should set the tone for what’s to come without giving away all of your supporting details. Therefore, keep your topic sentence short and to the point, and utilize the following sentences to support your topic sentence fully. Always keep in mind that each supporting point should ultimately relate to the thesis of your writing.

Using transition words can make it easier to move from one topic to the next. However, be careful that you don’t fall into the trap of constantly using the same transition words, as this can make your writing repetitive and cause your reader to lose interest. Reading your final work aloud can help you notice if you tend to use the same words repeatedly and can provide valuable insight into how you can replace repetition with new transition words.

Transition words that help you transition from the first paragraph to the next paragraph and so on fall into a few different categories: chronology (next, before, later, meanwhile), comparison (similarly, likewise), clarity (for instance, for example), continuation (furthermore, additionally), and conclusion (as a result, consequentially). Using transition words can help you separate paragraphs whether you’re writing a short story or a research paper, and can help your paragraph breaks read naturally.

When writing for a high school class, college class, or professional publication, you’ll likely have some formatting instructions that your teacher, professor, or editor will want you to follow when completing written work. For example, paragraph length, comma use, and thesis statement formatting may all have specific requirements for your class or publication. Be sure to carefully read your syllabus or talk with your editor to ensure that you’re following the requirements.

First-line indentation is typically used to start a new paragraph. Still, your professor or editor may ask that you use hanging indentation or spaces between paragraphs with no indentation. As long as a significant change in the text indicates that a new paragraph is beginning, your reader will quickly adjust to your indentation style.

How to start a new paragraph: Use quotation marks and dialogue to tell your story

If you’re writing a short story or another narrative piece that includes conversation, you’ll want to begin a new paragraph every time the speaker changes. This can result in short or one-sentence paragraphs, but don’t worry–this is the correct way to split paragraphs within dialogue so that your reader can easily follow your storyline.

Whether you choose to insert spaces between paragraphs is generally a matter of personal preference unless your professor or editor requests that you leave additional spacing. Whether you choose to place extra spaces between paragraphs or not, be sure to follow one of the most basic rules of academic and narrative writing: be consistent. If your research paper, short story, or another piece of writing has spacing between paragraphs in some spaces but not others, your work can become disorganized and tough for your reader to follow.

Many of your decisions regarding when to start a new paragraph will depend on the type of story or essay writing. In an academic writing piece, you’ll likely create new body paragraphs whenever you’re introducing a new idea or thought or developing a new point to support your thesis. In academic writing, paragraphs tend to be more uniform in length than in other types of writing.

In narrative writing, your paragraphs will likely look a little bit different. This is because narrative writing lends itself to greater creativity and more variation in paragraph sizes and styles. For example, you may use sentence-long paragraphs in dialogues throughout your narrative, while you may use longer paragraphs to introduce a new setting or character. 

For more help with your writing, check out our essay writing tips !

how to introduce a new paragraph in an essay

Amanda has an M.S.Ed degree from the University of Pennsylvania in School and Mental Health Counseling and is a National Academy of Sports Medicine Certified Personal Trainer. She has experience writing magazine articles, newspaper articles, SEO-friendly web copy, and blog posts.

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How to Write an Essay Introduction (with Examples)   

essay introduction

The introduction of an essay plays a critical role in engaging the reader and providing contextual information about the topic. It sets the stage for the rest of the essay, establishes the tone and style, and motivates the reader to continue reading. 

Table of Contents

What is an essay introduction , what to include in an essay introduction, how to create an essay structure , step-by-step process for writing an essay introduction , how to write an introduction paragraph , how to write a hook for your essay , how to include background information , how to write a thesis statement .

  • Argumentative Essay Introduction Example: 
  • Expository Essay Introduction Example 

Literary Analysis Essay Introduction Example

Check and revise – checklist for essay introduction , key takeaways , frequently asked questions .

An introduction is the opening section of an essay, paper, or other written work. It introduces the topic and provides background information, context, and an overview of what the reader can expect from the rest of the work. 1 The key is to be concise and to the point, providing enough information to engage the reader without delving into excessive detail. 

The essay introduction is crucial as it sets the tone for the entire piece and provides the reader with a roadmap of what to expect. Here are key elements to include in your essay introduction: 

  • Hook : Start with an attention-grabbing statement or question to engage the reader. This could be a surprising fact, a relevant quote, or a compelling anecdote. 
  • Background information : Provide context and background information to help the reader understand the topic. This can include historical information, definitions of key terms, or an overview of the current state of affairs related to your topic. 
  • Thesis statement : Clearly state your main argument or position on the topic. Your thesis should be concise and specific, providing a clear direction for your essay. 

Before we get into how to write an essay introduction, we need to know how it is structured. The structure of an essay is crucial for organizing your thoughts and presenting them clearly and logically. It is divided as follows: 2  

  • Introduction:  The introduction should grab the reader’s attention with a hook, provide context, and include a thesis statement that presents the main argument or purpose of the essay.  
  • Body:  The body should consist of focused paragraphs that support your thesis statement using evidence and analysis. Each paragraph should concentrate on a single central idea or argument and provide evidence, examples, or analysis to back it up.  
  • Conclusion:  The conclusion should summarize the main points and restate the thesis differently. End with a final statement that leaves a lasting impression on the reader. Avoid new information or arguments. 

how to introduce a new paragraph in an essay

Here’s a step-by-step guide on how to write an essay introduction: 

  • Start with a Hook : Begin your introduction paragraph with an attention-grabbing statement, question, quote, or anecdote related to your topic. The hook should pique the reader’s interest and encourage them to continue reading. 
  • Provide Background Information : This helps the reader understand the relevance and importance of the topic. 
  • State Your Thesis Statement : The last sentence is the main argument or point of your essay. It should be clear, concise, and directly address the topic of your essay. 
  • Preview the Main Points : This gives the reader an idea of what to expect and how you will support your thesis. 
  • Keep it Concise and Clear : Avoid going into too much detail or including information not directly relevant to your topic. 
  • Revise : Revise your introduction after you’ve written the rest of your essay to ensure it aligns with your final argument. 

Here’s an example of an essay introduction paragraph about the importance of education: 

Education is often viewed as a fundamental human right and a key social and economic development driver. As Nelson Mandela once famously said, “Education is the most powerful weapon which you can use to change the world.” It is the key to unlocking a wide range of opportunities and benefits for individuals, societies, and nations. In today’s constantly evolving world, education has become even more critical. It has expanded beyond traditional classroom learning to include digital and remote learning, making education more accessible and convenient. This essay will delve into the importance of education in empowering individuals to achieve their dreams, improving societies by promoting social justice and equality, and driving economic growth by developing a skilled workforce and promoting innovation. 

This introduction paragraph example includes a hook (the quote by Nelson Mandela), provides some background information on education, and states the thesis statement (the importance of education). 

This is one of the key steps in how to write an essay introduction. Crafting a compelling hook is vital because it sets the tone for your entire essay and determines whether your readers will stay interested. A good hook draws the reader in and sets the stage for the rest of your essay.  

  • Avoid Dry Fact : Instead of simply stating a bland fact, try to make it engaging and relevant to your topic. For example, if you’re writing about the benefits of exercise, you could start with a startling statistic like, “Did you know that regular exercise can increase your lifespan by up to seven years?” 
  • Avoid Using a Dictionary Definition : While definitions can be informative, they’re not always the most captivating way to start an essay. Instead, try to use a quote, anecdote, or provocative question to pique the reader’s interest. For instance, if you’re writing about freedom, you could begin with a quote from a famous freedom fighter or philosopher. 
  • Do Not Just State a Fact That the Reader Already Knows : This ties back to the first point—your hook should surprise or intrigue the reader. For Here’s an introduction paragraph example, if you’re writing about climate change, you could start with a thought-provoking statement like, “Despite overwhelming evidence, many people still refuse to believe in the reality of climate change.” 

Including background information in the introduction section of your essay is important to provide context and establish the relevance of your topic. When writing the background information, you can follow these steps: 

  • Start with a General Statement:  Begin with a general statement about the topic and gradually narrow it down to your specific focus. For example, when discussing the impact of social media, you can begin by making a broad statement about social media and its widespread use in today’s society, as follows: “Social media has become an integral part of modern life, with billions of users worldwide.” 
  • Define Key Terms : Define any key terms or concepts that may be unfamiliar to your readers but are essential for understanding your argument. 
  • Provide Relevant Statistics:  Use statistics or facts to highlight the significance of the issue you’re discussing. For instance, “According to a report by Statista, the number of social media users is expected to reach 4.41 billion by 2025.” 
  • Discuss the Evolution:  Mention previous research or studies that have been conducted on the topic, especially those that are relevant to your argument. Mention key milestones or developments that have shaped its current impact. You can also outline some of the major effects of social media. For example, you can briefly describe how social media has evolved, including positives such as increased connectivity and issues like cyberbullying and privacy concerns. 
  • Transition to Your Thesis:  Use the background information to lead into your thesis statement, which should clearly state the main argument or purpose of your essay. For example, “Given its pervasive influence, it is crucial to examine the impact of social media on mental health.” 

how to introduce a new paragraph in an essay

A thesis statement is a concise summary of the main point or claim of an essay, research paper, or other type of academic writing. It appears near the end of the introduction. Here’s how to write a thesis statement: 

  • Identify the topic:  Start by identifying the topic of your essay. For example, if your essay is about the importance of exercise for overall health, your topic is “exercise.” 
  • State your position:  Next, state your position or claim about the topic. This is the main argument or point you want to make. For example, if you believe that regular exercise is crucial for maintaining good health, your position could be: “Regular exercise is essential for maintaining good health.” 
  • Support your position:  Provide a brief overview of the reasons or evidence that support your position. These will be the main points of your essay. For example, if you’re writing an essay about the importance of exercise, you could mention the physical health benefits, mental health benefits, and the role of exercise in disease prevention. 
  • Make it specific:  Ensure your thesis statement clearly states what you will discuss in your essay. For example, instead of saying, “Exercise is good for you,” you could say, “Regular exercise, including cardiovascular and strength training, can improve overall health and reduce the risk of chronic diseases.” 

Examples of essay introduction 

Here are examples of essay introductions for different types of essays: 

Argumentative Essay Introduction Example:  

Topic: Should the voting age be lowered to 16? 

“The question of whether the voting age should be lowered to 16 has sparked nationwide debate. While some argue that 16-year-olds lack the requisite maturity and knowledge to make informed decisions, others argue that doing so would imbue young people with agency and give them a voice in shaping their future.” 

Expository Essay Introduction Example  

Topic: The benefits of regular exercise 

“In today’s fast-paced world, the importance of regular exercise cannot be overstated. From improving physical health to boosting mental well-being, the benefits of exercise are numerous and far-reaching. This essay will examine the various advantages of regular exercise and provide tips on incorporating it into your daily routine.” 

Text: “To Kill a Mockingbird” by Harper Lee 

“Harper Lee’s novel, ‘To Kill a Mockingbird,’ is a timeless classic that explores themes of racism, injustice, and morality in the American South. Through the eyes of young Scout Finch, the reader is taken on a journey that challenges societal norms and forces characters to confront their prejudices. This essay will analyze the novel’s use of symbolism, character development, and narrative structure to uncover its deeper meaning and relevance to contemporary society.” 

  • Engaging and Relevant First Sentence : The opening sentence captures the reader’s attention and relates directly to the topic. 
  • Background Information : Enough background information is introduced to provide context for the thesis statement. 
  • Definition of Important Terms : Key terms or concepts that might be unfamiliar to the audience or are central to the argument are defined. 
  • Clear Thesis Statement : The thesis statement presents the main point or argument of the essay. 
  • Relevance to Main Body : Everything in the introduction directly relates to and sets up the discussion in the main body of the essay. 

how to introduce a new paragraph in an essay

Writing a strong introduction is crucial for setting the tone and context of your essay. Here are the key takeaways for how to write essay introduction: 3  

  • Hook the Reader : Start with an engaging hook to grab the reader’s attention. This could be a compelling question, a surprising fact, a relevant quote, or an anecdote. 
  • Provide Background : Give a brief overview of the topic, setting the context and stage for the discussion. 
  • Thesis Statement : State your thesis, which is the main argument or point of your essay. It should be concise, clear, and specific. 
  • Preview the Structure : Outline the main points or arguments to help the reader understand the organization of your essay. 
  • Keep it Concise : Avoid including unnecessary details or information not directly related to your thesis. 
  • Revise and Edit : Revise your introduction to ensure clarity, coherence, and relevance. Check for grammar and spelling errors. 
  • Seek Feedback : Get feedback from peers or instructors to improve your introduction further. 

The purpose of an essay introduction is to give an overview of the topic, context, and main ideas of the essay. It is meant to engage the reader, establish the tone for the rest of the essay, and introduce the thesis statement or central argument.  

An essay introduction typically ranges from 5-10% of the total word count. For example, in a 1,000-word essay, the introduction would be roughly 50-100 words. However, the length can vary depending on the complexity of the topic and the overall length of the essay.

An essay introduction is critical in engaging the reader and providing contextual information about the topic. To ensure its effectiveness, consider incorporating these key elements: a compelling hook, background information, a clear thesis statement, an outline of the essay’s scope, a smooth transition to the body, and optional signposting sentences.  

The process of writing an essay introduction is not necessarily straightforward, but there are several strategies that can be employed to achieve this end. When experiencing difficulty initiating the process, consider the following techniques: begin with an anecdote, a quotation, an image, a question, or a startling fact to pique the reader’s interest. It may also be helpful to consider the five W’s of journalism: who, what, when, where, why, and how.   For instance, an anecdotal opening could be structured as follows: “As I ascended the stage, momentarily blinded by the intense lights, I could sense the weight of a hundred eyes upon me, anticipating my next move. The topic of discussion was climate change, a subject I was passionate about, and it was my first public speaking event. Little did I know , that pivotal moment would not only alter my perspective but also chart my life’s course.” 

Crafting a compelling thesis statement for your introduction paragraph is crucial to grab your reader’s attention. To achieve this, avoid using overused phrases such as “In this paper, I will write about” or “I will focus on” as they lack originality. Instead, strive to engage your reader by substantiating your stance or proposition with a “so what” clause. While writing your thesis statement, aim to be precise, succinct, and clear in conveying your main argument.  

To create an effective essay introduction, ensure it is clear, engaging, relevant, and contains a concise thesis statement. It should transition smoothly into the essay and be long enough to cover necessary points but not become overwhelming. Seek feedback from peers or instructors to assess its effectiveness. 

References  

  • Cui, L. (2022). Unit 6 Essay Introduction.  Building Academic Writing Skills . 
  • West, H., Malcolm, G., Keywood, S., & Hill, J. (2019). Writing a successful essay.  Journal of Geography in Higher Education ,  43 (4), 609-617. 
  • Beavers, M. E., Thoune, D. L., & McBeth, M. (2023). Bibliographic Essay: Reading, Researching, Teaching, and Writing with Hooks: A Queer Literacy Sponsorship. College English, 85(3), 230-242. 

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  • If you are writing in a new discipline, you should always make sure to ask about conventions and expectations for introductions, just as you would for any other aspect of the essay. For example, while it may be acceptable to write a two-paragraph (or longer) introduction for your papers in some courses, instructors in other disciplines, such as those in some Government courses, may expect a shorter introduction that includes a preview of the argument that will follow.  
  • In some disciplines (Government, Economics, and others), it’s common to offer an overview in the introduction of what points you will make in your essay. In other disciplines, you will not be expected to provide this overview in your introduction.  
  • Avoid writing a very general opening sentence. While it may be true that “Since the dawn of time, people have been telling love stories,” it won’t help you explain what’s interesting about your topic.  
  • Avoid writing a “funnel” introduction in which you begin with a very broad statement about a topic and move to a narrow statement about that topic. Broad generalizations about a topic will not add to your readers’ understanding of your specific essay topic.  
  • Avoid beginning with a dictionary definition of a term or concept you will be writing about. If the concept is complicated or unfamiliar to your readers, you will need to define it in detail later in your essay. If it’s not complicated, you can assume your readers already know the definition.  
  • Avoid offering too much detail in your introduction that a reader could better understand later in the paper.
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It’s the roadmap to your essay, it’s the forecast for your argument, it’s...your introduction paragraph, and writing one can feel pretty intimidating. The introduction paragraph is a part of just about every kind of academic writing , from persuasive essays to research papers. But that doesn’t mean writing one is easy!

If trying to write an intro paragraph makes you feel like a Muggle trying to do magic, trust us: you aren’t alone. But there are some tips and tricks that can make the process easier—and that’s where we come in.

In this article, we’re going to explain how to write a captivating intro paragraph by covering the following info:  

  • A discussion of what an introduction paragraph is and its purpose in an essay
  • An overview of the most effective introduction paragraph format, with explanations of the three main parts of an intro paragraph
  • An analysis of real intro paragraph examples, with a discussion of what works and what doesn’t
  • A list of four top tips on how to write an introduction paragraph

Are you ready? Let’s begin!

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What Is an Introduction Paragraph? 

An introduction paragraph is the first paragraph of an essay , paper, or other type of academic writing. Argumentative essays , book reports, research papers, and even personal  essays are common types of writing that require an introduction paragraph. Whether you’re writing a research paper for a science course or an argumentative essay for English class , you’re going to have to write an intro paragraph. 

So what’s the purpose of an intro paragraph? As a reader’s first impression of your essay, the intro paragraph should introduce the topic of your paper. 

Your introduction will also state any claims, questions, or issues that your paper will focus on. This is commonly known as your paper’s thesis . This condenses the overall point of your paper into one or two short sentences that your reader can come back and reference later.

But intro paragraphs need to do a bit more than just introduce your topic. An intro paragraph is also supposed to grab your reader’s attention. The intro paragraph is your chance to provide just enough info and intrigue to make your reader say, “Hey, this topic sounds interesting. I think I’ll keep reading this essay!” That can help your essay stand out from the crowd.

In most cases, an intro paragraph will be relatively short. A good intro will be clear, brief, purposeful, and focused. While there are some exceptions to this rule, it’s common for intro paragraphs to consist of three to five sentences . 

Effectively introducing your essay’s topic, purpose, and getting your reader invested in your essay sounds like a lot to ask from one little paragraph, huh? In the next section, we’ll demystify the intro paragraph format by breaking it down into its core parts . When you learn how to approach each part of an intro, writing one won’t seem so scary!

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Once you figure out the three parts of an intro paragraph, writing one will be a piece of cake!

The 3 Main Parts of an Intro Paragraph

In general, an intro paragraph is going to have three main parts: a hook, context, and a thesis statement . Each of these pieces of the intro plays a key role in acquainting the reader with the topic and purpose of your essay. 

Below, we’ll explain how to start an introduction paragraph by writing an effective hook, providing context, and crafting a thesis statement. When you put these elements together, you’ll have an intro paragraph that does a great job of making a great first impression on your audience!

Intro Paragraph Part 1: The Hook

When it comes to how to start an introduction paragraph, o ne of the most common approaches is to start with something called a hook. 

What does hook mean here, though? Think of it this way: it’s like when you start a new Netflix series: you look up a few hours (and a few episodes) later and you say, “Whoa. I guess I must be hooked on this show!” 

That’s how the hook is supposed to work in an intro paragrap h: it should get your reader interested enough that they don’t want to press the proverbial “pause” button while they’re reading it . In other words, a hook is designed to grab your reader’s attention and keep them reading your essay! 

This means that the hook comes first in the intro paragraph format—it’ll be the opening sentence of your intro. 

It’s important to realize  that there are many different ways to write a good hook. But generally speaking, hooks must include these two things: what your topic is, and the angle you’re taking on that topic in your essay. 

One approach to writing a hook that works is starting with a general, but interesting, statement on your topic. In this type of hook, you’re trying to provide a broad introduction to your topic and your angle on the topic in an engaging way . 

For example, if you’re writing an essay about the role of the government in the American healthcare system, your hook might look something like this: 

There's a growing movement to require that the federal government provide affordable, effective healthcare for all Americans. 

This hook introduces the essay topic in a broad way (government and healthcare) by presenting a general statement on the topic. But the assumption presented in the hook can also be seen as controversial, which gets readers interested in learning more about what the writer—and the essay—has to say.

In other words, the statement above fulfills the goals of a good hook: it’s intriguing and provides a general introduction to the essay topic.

Intro Paragraph Part 2: Context

Once you’ve provided an attention-grabbing hook, you’ll want to give more context about your essay topic. Context refers to additional details that reveal the specific focus of your paper. So, whereas the hook provides a general introduction to your topic, context starts helping readers understand what exactly you’re going to be writing about

You can include anywhere from one to several sentences of context in your intro, depending on your teacher’s expectations, the length of your paper, and complexity of your topic. In these context-providing sentences, you want to begin narrowing the focus of your intro. You can do this by describing a specific issue or question about your topic that you’ll address in your essay. It also helps readers start to understand why the topic you’re writing about matters and why they should read about it. 

So, what counts as context for an intro paragraph? Context can be any important details or descriptions that provide background on existing perspectives, common cultural attitudes, or a specific situation or controversy relating to your essay topic. The context you include should acquaint your reader with the issues, questions, or events that motivated you to write an essay on your topic...and that your reader should know in order to understand your thesis. 

For instance, if you’re writing an essay analyzing the consequences of sexism in Hollywood, the context you include after your hook might make reference to the #metoo and #timesup movements that have generated public support for victims of sexual harassment. 

The key takeaway here is that context establishes why you’re addressing your topic and what makes it important. It also sets you up for success on the final piece of an intro paragraph: the thesis statement.

Elle Woods' statement offers a specific point of view on the topic of murder...which means it could serve as a pretty decent thesis statement!

Intro Paragraph Part 3: The Thesis

The final key part of how to write an intro paragraph is the thesis statement. The thesis statement is the backbone of your introduction: it conveys your argument or point of view on your topic in a clear, concise, and compelling way . The thesis is usually the last sentence of your intro paragraph. 

Whether it’s making a claim, outlining key points, or stating a hypothesis, your thesis statement will tell your reader exactly what idea(s) are going to be addressed in your essay. A good thesis statement will be clear, straightforward, and highlight the overall point you’re trying to make.

Some instructors also ask students to include an essay map as part of their thesis. An essay map is a section that outlines the major topics a paper will address. So for instance, say you’re writing a paper that argues for the importance of public transport in rural communities. Your thesis and essay map might look like this: 

Having public transport in rural communities helps people improve their economic situation by giving them reliable transportation to their job, reducing the amount of money they spend on gas, and providing new and unionized work .

The underlined section is the essay map because it touches on the three big things the writer will talk about later. It literally maps out the rest of the essay!

So let’s review: Your thesis takes the idea you’ve introduced in your hook and context and wraps it up. Think of it like a television episode: the hook sets the scene by presenting a general statement and/or interesting idea that sucks you in. The context advances the plot by describing the topic in more detail and helping readers understand why the topic is important. And finally, the thesis statement provides the climax by telling the reader what you have to say about the topic. 

The thesis statement is the most important part of the intro. Without it, your reader won’t know what the purpose of your essay is! And for a piece of writing to be effective, it needs to have a clear purpose. Your thesis statement conveys that purpose , so it’s important to put careful thought into writing a clear and compelling thesis statement. 

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How To Write an Introduction Paragraph: Example and Analysis

Now that we’ve provided an intro paragraph outline and have explained the three key parts of an intro paragraph, let’s take a look at an intro paragraph in action.

To show you how an intro paragraph works, we’ve included a sample introduction paragraph below, followed by an analysis of its strengths and weaknesses.

Example of Introduction Paragraph

While college students in the U.S. are struggling with how to pay for college, there is another surprising demographic that’s affected by the pressure to pay for college: families and parents. In the face of tuition price tags that total more than $100,000 (as a low estimate), families must make difficult decisions about how to save for their children’s college education. Charting a feasible path to saving for college is further complicated by the FAFSA’s estimates for an “Expected Family Contribution”—an amount of money that is rarely feasible for most American families. Due to these challenging financial circumstances and cultural pressure to give one’s children the best possible chance of success in adulthood, many families are going into serious debt to pay for their children’s college education. The U.S. government should move toward bearing more of the financial burden of college education. 

Example of Introduction Paragraph: Analysis

Before we dive into analyzing the strengths and weaknesses of this example intro paragraph, let’s establish the essay topic. The sample intro indicates that t he essay topic will focus on one specific issue: who should cover the cost of college education in the U.S., and why. Both the hook and the context help us identify the topic, while the thesis in the last sentence tells us why this topic matters to the writer—they think the U.S. Government needs to help finance college education. This is also the writer’s argument, which they’ll cover in the body of their essay. 

Now that we’ve identified the essay topic presented in the sample intro, let’s dig into some analysis. To pin down its strengths and weaknesses, we’re going to use the following three questions to guide our example of introduction paragraph analysis: 

  • Does this intro provide an attention-grabbing opening sentence that conveys the essay topic? 
  • Does this intro provide relevant, engaging context about the essay topic? 
  • Does this intro provide a thesis statement that establishes the writer’s point of view on the topic and what specific aspects of the issue the essay will address? 

Now, let’s use the questions above to analyze the strengths and weaknesses of this sample intro paragraph. 

Does the Intro Have a Good Hook? 

First, the intro starts out with an attention-grabbing hook . The writer starts by presenting  an assumption (that the U.S. federal government bears most of the financial burden of college education), which makes the topic relatable to a wide audience of readers. Also note that the hook relates to the general topic of the essay, which is the high cost of college education. 

The hook then takes a surprising turn by presenting a counterclaim : that American families, rather than students, feel the true burden of paying for college. Some readers will have a strong emotional reaction to this provocative counterclaim, which will make them want to keep reading! As such, this intro provides an effective opening sentence that conveys the essay topic. 

Does the Intro Give Context?

T he second, third, and fourth sentences of the intro provide contextual details that reveal the specific focus of the writer’s paper . Remember: the context helps readers start to zoom in on what the paper will focus on, and what aspect of the general topic (college costs) will be discussed later on. 

The context in this intro reveals the intent and direction of the paper by explaining why the issue of families financing college is important. In other words, the context helps readers understand why this issue matters , and what aspects of this issue will be addressed in the paper.  

To provide effective context, the writer refers to issues (the exorbitant cost of college and high levels of family debt) that have received a lot of recent scholarly and media attention. These sentences of context also elaborate on the interesting perspective included in the hook: that American families are most affected by college costs.

Does the Intro Have a Thesis? 

Finally, this intro provides a thesis statement that conveys the writer’s point of view on the issue of financing college education. This writer believes that the U.S. government should do more to pay for students’ college educations. 

However, the thesis statement doesn’t give us any details about why the writer has made this claim or why this will help American families . There isn’t an essay map that helps readers understand what points the writer will make in the essay.

To revise this thesis statement so that it establishes the specific aspects of the topic that the essay will address, the writer could add the following to the beginning of the thesis statement:

The U.S. government should take on more of the financial burden of college education because other countries have shown this can improve education rates while reducing levels of familial poverty.

Check out the new section in bold. Not only does it clarify that the writer is talking about the pressure put on families, it touches on the big topics the writer will address in the paper: improving education rates and reduction of poverty. So not only do we have a clearer argumentative statement in this thesis, we also have an essay map!  

So, let’s recap our analysis. This sample intro paragraph does an effective job of providing an engaging hook and relatable, interesting context, but the thesis statement needs some work ! As you write your own intro paragraphs, you might consider using the questions above to evaluate and revise your work. Doing this will help ensure you’ve covered all of your bases and written an intro that your readers will find interesting!

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4 Tips for How To Write an Introduction Paragraph

Now that we’ve gone over an example of introduction paragraph analysis, let’s talk about how to write an introduction paragraph of your own. Keep reading for four tips for writing a successful intro paragraph for any essay. 

Tip 1: Analyze Your Essay Prompt

If you’re having trouble with how to start an introduction paragraph, analyze your essay prompt! Most teachers give you some kind of assignment sheet, formal instructions, or prompt to set the expectations for an essay they’ve assigned, right? Those instructions can help guide you as you write your intro paragraph!

Because they’ll be reading and responding to your essay, you want to make sure you meet your teacher’s expectations for an intro paragraph . For instance, if they’ve provided specific instructions about how long the intro should be or where the thesis statement should be located, be sure to follow them!

The type of paper you’re writing can give you clues as to how to approach your intro as well. If you’re writing a research paper, your professor might expect you to provide a research question or state a hypothesis in your intro. If you’re writing an argumentative essay, you’ll need to make sure your intro overviews the context surrounding your argument and your thesis statement includes a clear, defensible claim. 

Using the parameters set out by your instructor and assignment sheet can put some easy-to-follow boundaries in place for things like your intro’s length, structure, and content. Following these guidelines can free you up to focus on other aspects of your intro... like coming up with an exciting hook and conveying your point of view on your topic!

Tip 2: Narrow Your Topic

You can’t write an intro paragraph without first identifying your topic. To make your intro as effective as possible, you need to define the parameters of your topic clearly—and you need to be specific. 

For example, let’s say you want to write about college football. “NCAA football” is too broad of a topic for a paper. There is a lot to talk about in terms of college football! It would be tough to write an intro paragraph that’s focused, purposeful, and engaging on this topic. In fact, if you did try to address this whole topic, you’d probably end up writing a book!

Instead, you should narrow broad topics to  identify a specific question, claim, or issue pertaining to some aspect of NCAA football for your intro to be effective. So, for instance, you could frame your topic as, “How can college professors better support NCAA football players in academics?” This focused topic pertaining to NCAA football would give you a more manageable angle to discuss in your paper.

So before you think about writing your intro, ask yourself: Is my essay topic specific, focused, and logical? Does it convey an issue or question that I can explore over the course of several pages? Once you’ve established a good topic, you’ll have the foundation you need to write an effective intro paragraph . 

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Once you've figured out your topic, it's time to hit the books!

Tip 3: Do Your Research

This tip is tightly intertwined with the one above, and it’s crucial to writing a good intro: do your research! And, guess what? This tip applies to all papers—even ones that aren’t technically research papers. 

Here’s why you need to do some research: getting the lay of the land on what others have said about your topic—whether that’s scholars and researchers or the mass media— will help you narrow your topic, write an engaging hook, and provide relatable context. 

You don't want to sit down to write your intro without a solid understanding of the different perspectives on your topic. Whether those are the perspectives of experts or the general public, these points of view will help you write your intro in a way that is intriguing and compelling for your audience of readers. 

Tip 4: Write Multiple Drafts

Some say to write your intro first; others say write it last. The truth is, there isn’t a right or wrong time to write your intro—but you do need to have enough time to write multiple drafts . 

Oftentimes, your professor will ask you to write multiple drafts of your paper, which gives you a built-in way to make sure you revise your intro. Another approach you could take is to write out a rough draft of your intro before you begin writing your essay, then revise it multiple times as you draft out your paper. 

Here’s why this approach can work: as you write your paper, you’ll probably come up with new insights on your topic that you didn’t have right from the start. You can use these “light bulb” moments to reevaluate your intro and make revisions that keep it in line with your developing essay draft. 

Once you’ve written your entire essay, consider going back and revising your intro again . You can ask yourself these questions as you evaluate your intro: 

  • Is my hook still relevant to the way I’ve approached the topic in my essay?
  • Do I provide enough appropriate context to introduce my essay? 
  • Now that my essay is written, does my thesis statement still accurately reflect the point of view that I present in my essay?

Using these questions as a guide and putting your intro through multiple revisions will help ensure that you’ve written the best intro for the final draft of your essay. Also, revising your writing is always a good thing to do—and this applies to your intro, too!

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What's Next?

Your college essays also need great intro paragraphs. Here’s a guide that focuses on how to write the perfect intro for your admissions essays. 

Of course, the intro is just one part of your college essay . This article will teach you how to write a college essay that makes admissions counselors sit up and take notice.

Are you trying to write an analytical essay? Our step-by-step guide can help you knock it out of the park.

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Ashley Sufflé Robinson has a Ph.D. in 19th Century English Literature. As a content writer for PrepScholar, Ashley is passionate about giving college-bound students the in-depth information they need to get into the school of their dreams.

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How to Write an Introduction Paragraph [50+ Examples]

Writing a captivating introduction paragraph is arguably your most important goal as a writer.

Here is a quick answer for how to write an introduction paragraph:

Write an introduction paragraph by starting with a hook to grab attention, providing necessary context to set the stage, and presenting a clear thesis statement to outline the main idea. Ensure your tone matches your audience, keep the language clear, and smoothly transition into the next section.

As someone with years of writing experience, I’ll guide you through how to write introductory paragraphs with over 50 examples.

What Is an Introductory Paragraph?

Writer typing at a vintage desk, with a stormy night outside -- How to Write an Introduction Paragraph

Table of Contents

An introductory paragraph is the opening section of your essay or article.

It sets the stage by providing essential background information, introducing the topic, and presenting the main idea or thesis.

This paragraph is crucial because it establishes the context and framework for the rest of your writing, helping the reader understand the subject and its significance from the very beginning.

The primary goal of an introductory paragraph is to engage the reader.

It should capture their interest and make them want to keep reading.

This can be achieved through various techniques, such as starting with a compelling hook, providing intriguing facts, or posing a thought-provoking question.

A well-crafted introduction not only grabs attention but also guides the reader smoothly into the body of the essay.

Types of Introduction Paragraphs

There are 10 types of introduction paragraphs that you need to know.

  • Start with a short, interesting story relevant to your topic.
  • Engages the reader emotionally.
  • Pose a thought-provoking question.
  • Invites the reader to ponder and seek answers in your writing.
  • Use a famous quote related to your topic.
  • Adds credibility and interest.
  • Present a surprising fact or statistic.
  • Captures attention with interesting information.
  • Define a key term or concept.
  • Provides clarity and sets the foundation.
  • Make a strong, controversial statement.
  • Provokes curiosity and debate.
  • Paint a vivid picture of a hypothetical situation.
  • Helps readers visualize and connect.
  • Give a brief history of your topic.
  • Provides context and background.
  • Share a personal anecdote or experience.
  • Creates a personal connection with the reader.
  • Speak directly to the reader.
  • Engages the reader by making it personal.

Here’s How to Write an Introduction Paragraph

You don’t want an okay introduction — you need to wow your reader with a phenomenal opening.

Here’s how to do it.

A hook is the first sentence that grabs the reader’s attention.

It can be a question, a quote, a fact, or an anecdote. A strong hook is crucial because it determines whether the reader will continue reading. From my experience, crafting a compelling hook takes practice.

It should be relevant and intriguing, making the reader want to learn more about your topic.

Providing context helps the reader understand the background of your topic.

This can include historical information, definitions, or a brief overview of the subject. Context is important because it sets the stage for your argument.

Without it, readers may feel lost or confused.

In my writing, I ensure the context is clear and concise, giving readers the information they need to follow my narrative.

3. Thesis Statement

The thesis statement is the main idea of your essay or article. It tells the reader what to expect and sets the direction of your writing.

A strong thesis is specific, clear, and debatable.

In my teaching, I emphasize the importance of a well-crafted thesis because it guides the entire piece.

A weak thesis can lead to a disorganized and unfocused essay.

4. Relevance

Explain why your topic is important.

Show the reader why they should care about what you’re writing.

Relevance connects your topic to the reader’s interests or concerns.

I often ask myself, “Why does this matter to my audience?” This helps me ensure my writing is meaningful and engaging.

Your introduction should be clear and easy to understand.

Avoid jargon or complex sentences that could confuse the reader. Clarity is essential for effective communication.

In my experience, simple language and straightforward sentences make a stronger impact.

Always aim for clarity to keep your readers engaged.

The tone of your introduction sets the mood for your entire piece.

It can be formal, informal, serious, or humorous, depending on your audience and purpose.

I always consider my audience when choosing a tone. For academic writing, a formal tone is appropriate.

For a blog post, a conversational tone works better.

The right tone helps connect with your readers.

7. Transition

A smooth transition from your introduction to the body of your essay is essential.

It helps maintain the flow and coherence of your writing.

A good transition links your thesis statement to the main points you’ll discuss. In my writing, I use transitional phrases to guide readers from one idea to the next seamlessly.

This keeps the narrative logical and easy to follow.

Here is a good video about how to write an introduction paragraph:

Examples of Introduction Paragraphs

Other than practice, probably the most important way to learn how to write introduction paragraphs is to read good examples.

Academic Essays

  • Anecdote : “When I was in high school, I witnessed firsthand the devastating effects of bullying. One incident, in particular, stuck with me. This essay explores the long-term psychological impacts of bullying on teenagers.”
  • Question : “What would you do if you found yourself stranded on a deserted island? This essay will examine survival strategies and the psychological effects of isolation.”
  • Quotation : “‘Education is the most powerful weapon which you can use to change the world,’ said Nelson Mandela. This paper discusses the role of education in social transformation.”
  • Fact or Statistic : “Did you know that over 1 billion people lack access to clean water? This essay addresses the global water crisis and potential solutions.”
  • Definition : “Globalization is the process by which businesses and other organizations develop international influence. This paper explores the economic and cultural impacts of globalization.”
  • Bold Statement : “Climate change is the single greatest threat to humanity’s future. This essay argues for immediate action to mitigate its effects.”
  • Scenario : “Imagine waking up in a world where technology has ceased to exist. This essay examines our dependency on technology and its implications for society.”
  • Historical Overview : “Since the Industrial Revolution, the world has seen unprecedented technological advancements. This paper explores the history and future of technological innovation.”
  • Personal Experience : “Growing up in a multicultural neighborhood, I learned the value of diversity. This essay discusses the benefits of multiculturalism in modern society.”
  • Direct Address : “Have you ever wondered what makes a good leader? This essay will delve into the qualities and characteristics that define effective leadership.”
  • Anecdote : “Last summer, I embarked on a solo backpacking trip through Europe. In this blog post, I’ll share tips and tricks for solo travel.”
  • Question : “Ever struggled to stay productive while working from home? This blog post offers practical strategies to boost your productivity.”
  • Quotation : “‘The journey of a thousand miles begins with one step,’ said Lao Tzu. This post explores the importance of taking the first step in achieving your goals.”
  • Fact or Statistic : “Did you know that 8 out of 10 startups fail within the first 18 months? This blog post examines common pitfalls and how to avoid them.”
  • Definition : “Mindfulness is the practice of being present in the moment. In this post, we’ll explore mindfulness techniques to reduce stress.”
  • Bold Statement : “Social media is destroying our ability to connect in real life. This blog post argues for a digital detox.”
  • Scenario : “Picture yourself on a serene beach, the sound of waves lapping at the shore. This post will guide you through the best beach destinations for relaxation.”
  • Historical Overview : “Blogging has come a long way since its inception in the late 1990s. This post traces the evolution of blogging and its impact on media.”
  • Personal Experience : “After years of struggling with anxiety, I found relief through yoga. This post shares my journey and the benefits of yoga for mental health.”
  • Direct Address : “Are you tired of yo-yo dieting? This blog post will introduce you to sustainable weight loss strategies that actually work.”

Creative Writing

  • Anecdote : “As a child, I often got lost in the world of books. This story is a tribute to the power of imagination and the magic of storytelling.”
  • Question : “What if you could time travel to any era? This story explores the adventures and challenges of a modern-day time traveler.”
  • Quotation : “‘All the world’s a stage, and all the men and women merely players,’ wrote Shakespeare. This story delves into the complexities of human relationships.”
  • Fact or Statistic : “Over 3 million shipwrecks lie on the ocean floor. This tale follows a daring expedition to uncover the secrets of a legendary shipwreck.”
  • Definition : “Courage is not the absence of fear, but the triumph over it. This narrative follows a young hero’s journey to find their inner strength.”
  • Bold Statement : “True love is just a myth. This story challenges conventional notions of romance and explores what it means to truly connect with another person.”
  • Scenario : “Imagine a world where dreams are currency. This story takes you on a journey through a fantastical realm where dreams hold unimaginable power.”
  • Historical Overview : “During the Victorian era, society was obsessed with appearances. This story uncovers the hidden lives of people behind closed doors.”
  • Personal Experience : “One summer, I decided to hitchhike across the country. This story is inspired by the unforgettable characters I met along the way.”
  • Direct Address : “Do you believe in fate? This narrative invites you to explore the intertwining destinies of two strangers brought together by chance.”

Technical Writing

  • Anecdote : “When I first started coding, I encountered countless bugs. This guide will help you debug your code efficiently and effectively.”
  • Question : “Struggling to understand machine learning? This guide breaks down the basics of machine learning for beginners.”
  • Quotation : “‘Software is eating the world,’ said Marc Andreessen. This guide explores the impact of software development on modern industries.”
  • Fact or Statistic : “Over 90% of data has been created in the last two years. This guide explains how to manage and analyze big data.”
  • Definition : “API stands for Application Programming Interface. This guide provides a comprehensive overview of how to use APIs in your projects.”
  • Bold Statement : “The future of technology lies in artificial intelligence. This guide delves into the fundamentals of AI and its applications.”
  • Scenario : “Imagine you’re building a website from scratch. This guide walks you through the essential steps of web development.”
  • Historical Overview : “The history of programming languages is a fascinating journey. This guide explores the evolution of programming from its inception to the present day.”
  • Personal Experience : “As a software developer, I’ve faced numerous challenges. This guide shares practical solutions to common programming problems.”
  • Direct Address : “Are you new to coding? This guide provides step-by-step instructions for beginners to start their coding journey.”

Marketing Copy

  • Anecdote : “Last year, our sales skyrocketed after implementing a new strategy. This article reveals the secrets behind our success.”
  • Question : “Looking to boost your brand’s online presence? This guide offers proven techniques to enhance your digital marketing efforts.”
  • Quotation : “‘Content is king,’ said Bill Gates. This article discusses the importance of high-quality content in digital marketing.”
  • Fact or Statistic : “Did you know that email marketing has an ROI of 4,400%? This guide explains how to leverage email marketing for maximum results.”
  • Definition : “SEO stands for Search Engine Optimization. This article provides an in-depth look at SEO best practices.”
  • Bold Statement : “Traditional advertising is dead. This article argues for the shift to digital marketing and its benefits.”
  • Scenario : “Imagine your website appearing at the top of search results. This guide shows you how to achieve top rankings with effective SEO strategies.”
  • Historical Overview : “The landscape of marketing has drastically changed over the years. This article traces the evolution of marketing from print to digital.”
  • Personal Experience : “As a marketing professional, I’ve tested numerous strategies. This article shares the most effective techniques I’ve discovered.”
  • Direct Address : “Do you want to increase your social media engagement? This guide provides actionable tips to grow your audience and boost interaction.”

Final Thoughts: How to Write Introduction Paragraphs

Writing killer intro paragraphs is like setting the stage for an epic adventure—start strong, and the rest will follow.

Read This Next:

  • How to Write a Paragraph [Ultimate Guide + Examples]
  • How to Write a Good Conclusion Paragraph (+30 Examples)
  • Narrative Writing Graphic Organizer [Guide + Free Templates]
  • How to Write a Hook (40 Good Examples)
  • What Is a Summary In Writing? (Explained + 40 Examples)

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On Paragraphs

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What is a paragraph?

A paragraph is a collection of related sentences dealing with a single topic. Learning to write good paragraphs will help you as a writer stay on track during your drafting and revision stages. Good paragraphing also greatly assists your readers in following a piece of writing. You can have fantastic ideas, but if those ideas aren't presented in an organized fashion, you will lose your readers (and fail to achieve your goals in writing).

The Basic Rule: Keep one idea to one paragraph

The basic rule of thumb with paragraphing is to keep one idea to one paragraph. If you begin to transition into a new idea, it belongs in a new paragraph. There are some simple ways to tell if you are on the same topic or a new one. You can have one idea and several bits of supporting evidence within a single paragraph. You can also have several points in a single paragraph as long as they relate to the overall topic of the paragraph. If the single points start to get long, then perhaps elaborating on each of them and placing them in their own paragraphs is the route to go.

Elements of a paragraph

To be as effective as possible, a paragraph should contain each of the following: Unity, Coherence, A Topic Sentence, and Adequate Development. As you will see, all of these traits overlap. Using and adapting them to your individual purposes will help you construct effective paragraphs.

The entire paragraph should concern itself with a single focus. If it begins with one focus or major point of discussion, it should not end with another or wander within different ideas.

Coherence is the trait that makes the paragraph easily understandable to a reader. You can help create coherence in your paragraphs by creating logical bridges and verbal bridges.

Logical bridges

  • The same idea of a topic is carried over from sentence to sentence
  • Successive sentences can be constructed in parallel form

Verbal bridges

  • Key words can be repeated in several sentences
  • Synonymous words can be repeated in several sentences
  • Pronouns can refer to nouns in previous sentences
  • Transition words can be used to link ideas from different sentences

A topic sentence

A topic sentence is a sentence that indicates in a general way what idea or thesis the paragraph is going to deal with. Although not all paragraphs have clear-cut topic sentences, and despite the fact that topic sentences can occur anywhere in the paragraph (as the first sentence, the last sentence, or somewhere in the middle), an easy way to make sure your reader understands the topic of the paragraph is to put your topic sentence near the beginning of the paragraph. (This is a good general rule for less experienced writers, although it is not the only way to do it). Regardless of whether you include an explicit topic sentence or not, you should be able to easily summarize what the paragraph is about.

Adequate development

The topic (which is introduced by the topic sentence) should be discussed fully and adequately. Again, this varies from paragraph to paragraph, depending on the author's purpose, but writers should be wary of paragraphs that only have two or three sentences. It's a pretty good bet that the paragraph is not fully developed if it is that short.

Some methods to make sure your paragraph is well-developed:

  • Use examples and illustrations
  • Cite data (facts, statistics, evidence, details, and others)
  • Examine testimony (what other people say such as quotes and paraphrases)
  • Use an anecdote or story
  • Define terms in the paragraph
  • Compare and contrast
  • Evaluate causes and reasons
  • Examine effects and consequences
  • Analyze the topic
  • Describe the topic
  • Offer a chronology of an event (time segments)

How do I know when to start a new paragraph?

You should start a new paragraph when:

  • When you begin a new idea or point. New ideas should always start in new paragraphs. If you have an extended idea that spans multiple paragraphs, each new point within that idea should have its own paragraph.
  • To contrast information or ideas. Separate paragraphs can serve to contrast sides in a debate, different points in an argument, or any other difference.
  • When your readers need a pause. Breaks between paragraphs function as a short "break" for your readers—adding these in will help your writing be more readable. You would create a break if the paragraph becomes too long or the material is complex.
  • When you are ending your introduction or starting your conclusion. Your introductory and concluding material should always be in a new paragraph. Many introductions and conclusions have multiple paragraphs depending on their content, length, and the writer's purpose.

Transitions and signposts

Two very important elements of paragraphing are signposts and transitions. Signposts are internal aids to assist readers; they usually consist of several sentences or a paragraph outlining what the article has covered and where the article will be going.

Transitions are usually one or several sentences that "transition" from one idea to the next. Transitions can be used at the end of most paragraphs to help the paragraphs flow one into the next.

Academic Phrasebank

Academic Phrasebank

Introducing work.

  • GENERAL LANGUAGE FUNCTIONS
  • Being cautious
  • Being critical
  • Classifying and listing
  • Compare and contrast
  • Defining terms
  • Describing trends
  • Describing quantities
  • Explaining causality
  • Giving examples
  • Signalling transition
  • Writing about the past

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There are many ways to introduce an academic essay or short paper. Most academic writers, however, appear to do one or more of the following in their introductions:

  • establish the context, background and/or importance of the topic
  • present an issue, problem, or controversy in the field of study
  • define the topic and/or key terms used in the paper
  • state the purpose of the essay or short paper
  • provide an overview of the coverage and/or structure of the writing

Slightly less complex introductions may simply inform the reader: what the topic is, why it is important, and how the writing is organised. In very short assignments, it is not uncommon for a writer to commence simply by stating the purpose of their writing.

Introductions to research dissertations and theses tend to be relatively short compared to the other sections of the text but quite complex in terms of their functional elements. Some of the more common elements include:

  • establishing the context, background and/or importance of the topic
  • giving a brief review of the relevant academic literature
  • identifying a problem, controversy or a knowledge gap in the field of study
  • stating the aim(s) of the research and the research questions or hypotheses
  • providing a synopsis of the research design and method(s)
  • explaining the significance or value of the study
  • defining certain key terms
  • providing an overview of the dissertation or report structure

Examples of phrases which are commonly employed to realise these functions can be seen by clicking on the headings listed below. Note that there may be a certain amount of overlap between some of the categories under which the phrases are listed. Also, the order in which the different categories of phrases are shown reflects a typical order but this is far from fixed or rigid, and not all the elements are present in all introductions.

A number of analysts have identified common patterns in the introductions of research articles. One of the best known patterns is the CARS model (create a research space) first described by John Swales (1990). This model, which utilises an ecological metaphor, has, in its simplest form, three elements or moves:

  • Establishing the territory (establishing importance of the topic, reviewing previous work)
  • Identifying a niche (indicating a gap in knowledge)
  • Occupying the niche (listing purpose of new research, listing questions, stating the value of the work, indicating the structure of the writing)

Establishing the importance of the topic for the world or society

X is a major contributor to … X plays a critical role in the maintenance of … Xs have emerged as powerful platforms for … X is essential for a wide range of technologies. X can play an important role in addressing the issue of … There is evidence that X plays a pivotal role in regulating … In the new global economy, X has become a central issue for … Evidence suggests that X is among the most important factors for … Xs are one of the most widely used groups of antibacterial agents and … There is a growing body of literature that recognises the importance of … X is an important component in the climate system, and plays a key role in Y. Xs are one of the most widely used groups of Y and have been extensively used for …

Establishing the importance of the topic for the discipline

X is of interest because … X is a classic problem in … X is an important aspect of … X is a fundamental property of … X is an increasingly important area in … The concepts of X and Y are central to … X is at the heart of our understanding of … Investigating X is a continuing concern within … X is a major area of interest within the field of … X has been an object of research since the 1960s. X has been the subject of many classic studies in … X has been instrumental in our understanding of … The theory of X provides a useful account of how … Central to the entire discipline of X is the concept of … The issue of X has received considerable critical attention. X has long been a question of great interest in a wide range of fields.

Establishing the importance of the topic (time frame given)

Recently, there has been renewed interest in … Traditionally, Xs have subscribed to the belief that … One of the most important events of the 1970s was … In recent years, there has been an increasing interest in … Recent developments in X have heightened the need for … The last two decades have seen a growing trend towards … Recently, researchers have shown an increased interest in … Recent trends in X have led to a proliferation of studies that … Over the past century, there has been a dramatic increase in … The past decade has seen the rapid development of X in many … Since it was reported in 2015, X has been attracting considerable interest. Recent developments in the field of X have led to a renewed interest in … The past thirty years have seen increasingly rapid advances in the field of …

Establishing the importance of the topic as a problem to be addressed

X is a major problem in … Of particular concern is … One of the main obstacles … One of the greatest challenges … A key issue is the safe disposal of … The main disadvantage of X is that … X impacts negatively upon a range of … It is now well established that X can impair … X has led to the decline in the population of … The main challenge faced by many researchers is the … Lack of X has existed as a health problem for many years. Xs are one of the most rapidly declining groups of insects in … Exposure to X has been shown to be related to adverse effects in … There is an urgent need to address the safety problems caused by …

Referring to previous work to establish what is already known

Recent evidence suggests that … Extensive research has shown that … Studies of X show the importance of … It has previously been observed that … Several attempts have been made to … Previous research has established that … Data from several studies suggest that … Recent research comparing X and Y has found … The existing body of research on X suggests that … There is a growing body of literature that recognises … Several theories on the origin of X have been proposed. Existing research recognises the critical role played by … It is now well established from a variety of studies, that … Recently investigators have examined the effects of X on Y. Surveys such as that conducted by Smith (2015) have shown that … Factors found to be influencing X have been explored in several studies. A number of cross-sectional studies suggest an association between X and Y… Studies over the past two decades have provided important information on …

Identifying a controversy within the field of study

A much debated question is whether … One major issue in early X research concerned … To date there has been little agreement on what … The issue has grown in importance in light of recent … One of the most significant current discussions in X is … In the literature on X, the relative importance of Y is debated. One observer has already drawn attention to the paradox in … Questions have been raised about the use of animal subjects in … In many Xs, a debate is taking place between Ys and Zs concerning … Debate continues about the best strategies for the management of … This concept has recently been challenged by X studies demonstrating … The debate about X has gained fresh prominence with many arguing that … Scholars have long debated the impact of X on the creation and diffusion of … More recently, literature has emerged that offers contradictory findings about … One major theoretical issue that has dominated the field for many years concerns … The controversy about scientific evidence for X has raged unabated for over a century. The issue of X has been a controversial and much disputed subject within the field of … The causes of X have been the subject of intense debate within the scientific community. In the literature on X, the relative importance of Y has been subject to considerable discussion.

Explaining the inadequacies of previous studies

Previous studies of X have not dealt with … Researchers have not treated X in much detail. Such expositions are unsatisfactory because they … Most studies in the field of X have only focused on … Such approaches, however, have failed to address … Previous published studies are limited to local surveys. Half of the studies evaluated failed to specify whether … The research to date has tended to focus on X rather than Y. Previously published studies on the effect of X are not consistent. Smith’s analysis does not take account of …, nor does she examine … The existing accounts fail to resolve the contradiction between X and Y. Most studies in X have only been carried out in a small number of areas.

However, much of the research up to now has been descriptive in nature … The generalisability of much published research on this issue is problematic. Research on the subject has been mostly restricted to limited comparisons of … However, few writers have been able to draw on any systematic research into … Short-term studies such as these do not necessarily show subtle changes over time … Although extensive research has been carried out on X, no single study exists which … However, these results were based upon data from over 30 years ago and it is unclear if … The experimental data are rather controversial, and there is no general agreement about …

Identifying the paucity or lack of previous research

There is little published data on … No previous study has investigated X. The use of X has not been investigated. Data about the efficacy and safety of X are limited. Up to now, far too little attention has been paid to … A search of the literature revealed few studies which … The impact of X on Y is understudied, particularly for … Few studies have investigated X in any systematic way … In addition, no research has been found that surveyed … So far, very little attention has been paid to the role of X. Surprisingly, the effects of X have not been closely examined. In contrast to X, there is much less information about effects of … A systematic understanding of how X contributes to Y is still lacking. Despite the importance of X, there remains a paucity of evidence on … To date, the problem has received scant attention in the research literature.

Identifying a knowledge gap in the field of study

It is still not known whether … … much less is known about X. The nature of X remains unclear. Currently, there are no data on … What is less clear is the nature of … Very little is currently known about X in … Research to date has not yet determined … What is not yet clear is the impact of X on … There is still uncertainty, however, whether … The response of X to Y is not fully understood. Causal factors leading to X remain speculative. The neurobiological basis of X is poorly understood. Little is known about X and it is not clear what factors … To date, only a limited number of Xs have been identified. The mechanisms that underpin X are not fully understood. Much uncertainty still exists about the relationship between … This indicates a need to understand the various perceptions of X that exist among … It is now well established that … However, the influence of X on Y has remained unclear.

Stating the focus, aim, or argument of a short paper

In this paper, I argue that … This paper attempts to show that … The central thesis of this paper is that … In the pages that follow, it will be argued that … In this essay, I attempt to defend the view that … The aim of this essay is to explore the relationship between … The purpose of this paper is to review recent research into the …

Stating the purpose of the current research

The specific objective of this study was to … An objective of this study was to investigate … This thesis will examine the way in which the … This study set out to investigate the usefulness of … This dissertation seeks to explain the development of … This case study seeks to examine the changing nature of … The objectives of this research are to determine whether … This prospective study was designed to investigate the use of … This research examines the emerging role of X in the context of … This study systematically reviews the data for…, aiming to provide … Drawing upon two strands of research into X, this study attempts to … This thesis intends to determine the extent to which … and whether … This dissertation aims to unravel some of the mysteries surrounding … This study therefore set out to assess the effect of X …, and the effect of … The main aim of this study is to investigate the differences between X and Y. Part of the aim of this project is to develop software that is compatible with … There are two primary aims of this study: 1. To investigate … 2. To ascertain … This study seeks to obtain data which will help to address these research gaps. One purpose of this study was to assess the extent to which these factors were … The purpose of this investigation is to explore the relationship between X and Y.

Describing the research design and the methods used

Data for this study were collected using … Five works will be examined, all of which … This investigation takes the form of a case-study of the … This study was exploratory and interpretative in nature. This study uses a qualitative case study approach to investigate … The research data in this thesis is drawn from four main sources: … The approach to empirical research adopted for this study was one of … This dissertation follows a case-study design, with in-depth analysis of … By employing qualitative modes of enquiry, I attempt to illuminate the … Qualitative and quantitative research designs were adopted to provide … Both qualitative and quantitative methods were used in this investigation. A holistic approach is utilised, integrating X, Y and Z material to establish … The study was conducted in the form of a survey, with data being gathered via … The methodological approach taken in this study is a mixed methodology based on … A combination of quantitative and qualitative approaches was used in the data analysis.

Explaining the significance of the current study

This is the first study to … This study provides new insights into … This work will generate fresh insight into … The study offers some important insights into … Understanding the link between X and Y will help … This is the first study to undertake a longitudinal analysis of … The present research explores, for the first time, the effects of … The importance and originality of this study are that it explores … The findings should make an important contribution to the field of …. Characterisation of X is important for our increased understanding of … It is hoped that this research will contribute to a deeper understanding of … This study aims to contribute to this growing area of research by exploring … This project provided an important opportunity to advance the understanding of … Therefore, this study makes a major contribution to research on X by demonstrating … There are several important areas where this study makes an original contribution to … The experimental work presented here provides one of the first investigations into how …

Describing the limitations of the current study

The thesis does not engage with … It is not the task of this paper to examine … This study is unable to encompass the entire … Establishing X is beyond the scope of this study. It is beyond the scope of this study to examine the … The analysis of X presented here is based solely on … A full discussion of X lies beyond the scope of this study. The reader should bear in mind that the study is based on … Another potential problem is that the scope of my thesis may be too broad. Due to practical constraints, this paper cannot provide a comprehensive review of…

Giving reasons for personal interest in the research*

I became interested in Xs after reading … My interest in this area developed while I was … I have worked closely with X for many years and … My personal experience of X has prompted this research. My main reason for choosing this topic is personal interest. It is my experience of working with X that has driven this research. This project was conceived during my time working for X. As a medical advisor, I witnessed …

* sometimes found in the humanities, and the applied human sciences

Outlining the structure of the paper or dissertation

The first section of this paper will examine… This paper begins by … It will then go on to … My thesis is composed of four themed chapters. The essay has been organised in the following way. The remaining part of the paper proceeds as follows: … The main issues addressed in this paper are: a), b) and c). This paper first gives a brief overview of the recent history of X. This paper has been divided into four parts. The first part deals with … The third chapter is concerned with the methodology used for this study. The overall structure of the study takes the form of six chapters, including … Chapter Four analyses the results of interviews and focus group discussions undertaken during … Chapter Two begins by laying out the theoretical dimensions of the research, and looks at how … The fourth section presents the findings of the research, focusing on the three key themes that …

Explaining key terms used in the current work

(also refer to  Defining terms )

Throughout this paper, the term ‘X’ will refer to … The term ‘X’ will be used in this thesis to refer to … Historically, the term ‘X’ has been used to describe … It is necessary here to clarify exactly what is meant by … The phrase ‘X’ will be used in this study to describe the … According to Smith (2002), X can be defined as follows: ‘ … ’ In this article, the abbreviation XYZ will be used to refer to … Throughout this dissertation, the term ‘X’ will be used to refer to … The term ‘X’ is a relatively new name for …, commonly referred to as … In this essay, the term ‘X’ will be used in its broadest sense to refer to all … In this dissertation, the terms ‘X’ and ‘Y’ are used interchangeably to mean … While a variety of definitions of the term X have been suggested, this paper will use the definition first suggested by Smith (1968) who saw it as …

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Home — Essay Samples — Science — Geology — The Intricacies of the Rock Cycle: An In-Depth Analysis

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The Intricacies of The Rock Cycle: an In-depth Analysis

  • Categories: Earth Science Geology

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Published: Jun 6, 2024

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  • Published: 03 June 2024

Applying large language models for automated essay scoring for non-native Japanese

  • Wenchao Li 1 &
  • Haitao Liu 2  

Humanities and Social Sciences Communications volume  11 , Article number:  723 ( 2024 ) Cite this article

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  • Language and linguistics

Recent advancements in artificial intelligence (AI) have led to an increased use of large language models (LLMs) for language assessment tasks such as automated essay scoring (AES), automated listening tests, and automated oral proficiency assessments. The application of LLMs for AES in the context of non-native Japanese, however, remains limited. This study explores the potential of LLM-based AES by comparing the efficiency of different models, i.e. two conventional machine training technology-based methods (Jess and JWriter), two LLMs (GPT and BERT), and one Japanese local LLM (Open-Calm large model). To conduct the evaluation, a dataset consisting of 1400 story-writing scripts authored by learners with 12 different first languages was used. Statistical analysis revealed that GPT-4 outperforms Jess and JWriter, BERT, and the Japanese language-specific trained Open-Calm large model in terms of annotation accuracy and predicting learning levels. Furthermore, by comparing 18 different models that utilize various prompts, the study emphasized the significance of prompts in achieving accurate and reliable evaluations using LLMs.

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Conventional machine learning technology in aes.

AES has experienced significant growth with the advancement of machine learning technologies in recent decades. In the earlier stages of AES development, conventional machine learning-based approaches were commonly used. These approaches involved the following procedures: a) feeding the machine with a dataset. In this step, a dataset of essays is provided to the machine learning system. The dataset serves as the basis for training the model and establishing patterns and correlations between linguistic features and human ratings. b) the machine learning model is trained using linguistic features that best represent human ratings and can effectively discriminate learners’ writing proficiency. These features include lexical richness (Lu, 2012 ; Kyle and Crossley, 2015 ; Kyle et al. 2021 ), syntactic complexity (Lu, 2010 ; Liu, 2008 ), text cohesion (Crossley and McNamara, 2016 ), and among others. Conventional machine learning approaches in AES require human intervention, such as manual correction and annotation of essays. This human involvement was necessary to create a labeled dataset for training the model. Several AES systems have been developed using conventional machine learning technologies. These include the Intelligent Essay Assessor (Landauer et al. 2003 ), the e-rater engine by Educational Testing Service (Attali and Burstein, 2006 ; Burstein, 2003 ), MyAccess with the InterlliMetric scoring engine by Vantage Learning (Elliot, 2003 ), and the Bayesian Essay Test Scoring system (Rudner and Liang, 2002 ). These systems have played a significant role in automating the essay scoring process and providing quick and consistent feedback to learners. However, as touched upon earlier, conventional machine learning approaches rely on predetermined linguistic features and often require manual intervention, making them less flexible and potentially limiting their generalizability to different contexts.

In the context of the Japanese language, conventional machine learning-incorporated AES tools include Jess (Ishioka and Kameda, 2006 ) and JWriter (Lee and Hasebe, 2017 ). Jess assesses essays by deducting points from the perfect score, utilizing the Mainichi Daily News newspaper as a database. The evaluation criteria employed by Jess encompass various aspects, such as rhetorical elements (e.g., reading comprehension, vocabulary diversity, percentage of complex words, and percentage of passive sentences), organizational structures (e.g., forward and reverse connection structures), and content analysis (e.g., latent semantic indexing). JWriter employs linear regression analysis to assign weights to various measurement indices, such as average sentence length and total number of characters. These weights are then combined to derive the overall score. A pilot study involving the Jess model was conducted on 1320 essays at different proficiency levels, including primary, intermediate, and advanced. However, the results indicated that the Jess model failed to significantly distinguish between these essay levels. Out of the 16 measures used, four measures, namely median sentence length, median clause length, median number of phrases, and maximum number of phrases, did not show statistically significant differences between the levels. Additionally, two measures exhibited between-level differences but lacked linear progression: the number of attributives declined words and the Kanji/kana ratio. On the other hand, the remaining measures, including maximum sentence length, maximum clause length, number of attributive conjugated words, maximum number of consecutive infinitive forms, maximum number of conjunctive-particle clauses, k characteristic value, percentage of big words, and percentage of passive sentences, demonstrated statistically significant between-level differences and displayed linear progression.

Both Jess and JWriter exhibit notable limitations, including the manual selection of feature parameters and weights, which can introduce biases into the scoring process. The reliance on human annotators to label non-native language essays also introduces potential noise and variability in the scoring. Furthermore, an important concern is the possibility of system manipulation and cheating by learners who are aware of the regression equation utilized by the models (Hirao et al. 2020 ). These limitations emphasize the need for further advancements in AES systems to address these challenges.

Deep learning technology in AES

Deep learning has emerged as one of the approaches for improving the accuracy and effectiveness of AES. Deep learning-based AES methods utilize artificial neural networks that mimic the human brain’s functioning through layered algorithms and computational units. Unlike conventional machine learning, deep learning autonomously learns from the environment and past errors without human intervention. This enables deep learning models to establish nonlinear correlations, resulting in higher accuracy. Recent advancements in deep learning have led to the development of transformers, which are particularly effective in learning text representations. Noteworthy examples include bidirectional encoder representations from transformers (BERT) (Devlin et al. 2019 ) and the generative pretrained transformer (GPT) (OpenAI).

BERT is a linguistic representation model that utilizes a transformer architecture and is trained on two tasks: masked linguistic modeling and next-sentence prediction (Hirao et al. 2020 ; Vaswani et al. 2017 ). In the context of AES, BERT follows specific procedures, as illustrated in Fig. 1 : (a) the tokenized prompts and essays are taken as input; (b) special tokens, such as [CLS] and [SEP], are added to mark the beginning and separation of prompts and essays; (c) the transformer encoder processes the prompt and essay sequences, resulting in hidden layer sequences; (d) the hidden layers corresponding to the [CLS] tokens (T[CLS]) represent distributed representations of the prompts and essays; and (e) a multilayer perceptron uses these distributed representations as input to obtain the final score (Hirao et al. 2020 ).

figure 1

AES system with BERT (Hirao et al. 2020 ).

The training of BERT using a substantial amount of sentence data through the Masked Language Model (MLM) allows it to capture contextual information within the hidden layers. Consequently, BERT is expected to be capable of identifying artificial essays as invalid and assigning them lower scores (Mizumoto and Eguchi, 2023 ). In the context of AES for nonnative Japanese learners, Hirao et al. ( 2020 ) combined the long short-term memory (LSTM) model proposed by Hochreiter and Schmidhuber ( 1997 ) with BERT to develop a tailored automated Essay Scoring System. The findings of their study revealed that the BERT model outperformed both the conventional machine learning approach utilizing character-type features such as “kanji” and “hiragana”, as well as the standalone LSTM model. Takeuchi et al. ( 2021 ) presented an approach to Japanese AES that eliminates the requirement for pre-scored essays by relying solely on reference texts or a model answer for the essay task. They investigated multiple similarity evaluation methods, including frequency of morphemes, idf values calculated on Wikipedia, LSI, LDA, word-embedding vectors, and document vectors produced by BERT. The experimental findings revealed that the method utilizing the frequency of morphemes with idf values exhibited the strongest correlation with human-annotated scores across different essay tasks. The utilization of BERT in AES encounters several limitations. Firstly, essays often exceed the model’s maximum length limit. Second, only score labels are available for training, which restricts access to additional information.

Mizumoto and Eguchi ( 2023 ) were pioneers in employing the GPT model for AES in non-native English writing. Their study focused on evaluating the accuracy and reliability of AES using the GPT-3 text-davinci-003 model, analyzing a dataset of 12,100 essays from the corpus of nonnative written English (TOEFL11). The findings indicated that AES utilizing the GPT-3 model exhibited a certain degree of accuracy and reliability. They suggest that GPT-3-based AES systems hold the potential to provide support for human ratings. However, applying GPT model to AES presents a unique natural language processing (NLP) task that involves considerations such as nonnative language proficiency, the influence of the learner’s first language on the output in the target language, and identifying linguistic features that best indicate writing quality in a specific language. These linguistic features may differ morphologically or syntactically from those present in the learners’ first language, as observed in (1)–(3).

我-送了-他-一本-书

Wǒ-sòngle-tā-yī běn-shū

1 sg .-give. past- him-one .cl- book

“I gave him a book.”

Agglutinative

彼-に-本-を-あげ-まし-た

Kare-ni-hon-o-age-mashi-ta

3 sg .- dat -hon- acc- give.honorification. past

Inflectional

give, give-s, gave, given, giving

Additionally, the morphological agglutination and subject-object-verb (SOV) order in Japanese, along with its idiomatic expressions, pose additional challenges for applying language models in AES tasks (4).

足-が 棒-に なり-ました

Ashi-ga bo-ni nar-mashita

leg- nom stick- dat become- past

“My leg became like a stick (I am extremely tired).”

The example sentence provided demonstrates the morpho-syntactic structure of Japanese and the presence of an idiomatic expression. In this sentence, the verb “なる” (naru), meaning “to become”, appears at the end of the sentence. The verb stem “なり” (nari) is attached with morphemes indicating honorification (“ます” - mashu) and tense (“た” - ta), showcasing agglutination. While the sentence can be literally translated as “my leg became like a stick”, it carries an idiomatic interpretation that implies “I am extremely tired”.

To overcome this issue, CyberAgent Inc. ( 2023 ) has developed the Open-Calm series of language models specifically designed for Japanese. Open-Calm consists of pre-trained models available in various sizes, such as Small, Medium, Large, and 7b. Figure 2 depicts the fundamental structure of the Open-Calm model. A key feature of this architecture is the incorporation of the Lora Adapter and GPT-NeoX frameworks, which can enhance its language processing capabilities.

figure 2

GPT-NeoX Model Architecture (Okgetheng and Takeuchi 2024 ).

In a recent study conducted by Okgetheng and Takeuchi ( 2024 ), they assessed the efficacy of Open-Calm language models in grading Japanese essays. The research utilized a dataset of approximately 300 essays, which were annotated by native Japanese educators. The findings of the study demonstrate the considerable potential of Open-Calm language models in automated Japanese essay scoring. Specifically, among the Open-Calm family, the Open-Calm Large model (referred to as OCLL) exhibited the highest performance. However, it is important to note that, as of the current date, the Open-Calm Large model does not offer public access to its server. Consequently, users are required to independently deploy and operate the environment for OCLL. In order to utilize OCLL, users must have a PC equipped with an NVIDIA GeForce RTX 3060 (8 or 12 GB VRAM).

In summary, while the potential of LLMs in automated scoring of nonnative Japanese essays has been demonstrated in two studies—BERT-driven AES (Hirao et al. 2020 ) and OCLL-based AES (Okgetheng and Takeuchi, 2024 )—the number of research efforts in this area remains limited.

Another significant challenge in applying LLMs to AES lies in prompt engineering and ensuring its reliability and effectiveness (Brown et al. 2020 ; Rae et al. 2021 ; Zhang et al. 2021 ). Various prompting strategies have been proposed, such as the zero-shot chain of thought (CoT) approach (Kojima et al. 2022 ), which involves manually crafting diverse and effective examples. However, manual efforts can lead to mistakes. To address this, Zhang et al. ( 2021 ) introduced an automatic CoT prompting method called Auto-CoT, which demonstrates matching or superior performance compared to the CoT paradigm. Another prompt framework is trees of thoughts, enabling a model to self-evaluate its progress at intermediate stages of problem-solving through deliberate reasoning (Yao et al. 2023 ).

Beyond linguistic studies, there has been a noticeable increase in the number of foreign workers in Japan and Japanese learners worldwide (Ministry of Health, Labor, and Welfare of Japan, 2022 ; Japan Foundation, 2021 ). However, existing assessment methods, such as the Japanese Language Proficiency Test (JLPT), J-CAT, and TTBJ Footnote 1 , primarily focus on reading, listening, vocabulary, and grammar skills, neglecting the evaluation of writing proficiency. As the number of workers and language learners continues to grow, there is a rising demand for an efficient AES system that can reduce costs and time for raters and be utilized for employment, examinations, and self-study purposes.

This study aims to explore the potential of LLM-based AES by comparing the effectiveness of five models: two LLMs (GPT Footnote 2 and BERT), one Japanese local LLM (OCLL), and two conventional machine learning-based methods (linguistic feature-based scoring tools - Jess and JWriter).

The research questions addressed in this study are as follows:

To what extent do the LLM-driven AES and linguistic feature-based AES, when used as automated tools to support human rating, accurately reflect test takers’ actual performance?

What influence does the prompt have on the accuracy and performance of LLM-based AES methods?

The subsequent sections of the manuscript cover the methodology, including the assessment measures for nonnative Japanese writing proficiency, criteria for prompts, and the dataset. The evaluation section focuses on the analysis of annotations and rating scores generated by LLM-driven and linguistic feature-based AES methods.

Methodology

The dataset utilized in this study was obtained from the International Corpus of Japanese as a Second Language (I-JAS) Footnote 3 . This corpus consisted of 1000 participants who represented 12 different first languages. For the study, the participants were given a story-writing task on a personal computer. They were required to write two stories based on the 4-panel illustrations titled “Picnic” and “The key” (see Appendix A). Background information for the participants was provided by the corpus, including their Japanese language proficiency levels assessed through two online tests: J-CAT and SPOT. These tests evaluated their reading, listening, vocabulary, and grammar abilities. The learners’ proficiency levels were categorized into six levels aligned with the Common European Framework of Reference for Languages (CEFR) and the Reference Framework for Japanese Language Education (RFJLE): A1, A2, B1, B2, C1, and C2. According to Lee et al. ( 2015 ), there is a high level of agreement (r = 0.86) between the J-CAT and SPOT assessments, indicating that the proficiency certifications provided by J-CAT are consistent with those of SPOT. However, it is important to note that the scores of J-CAT and SPOT do not have a one-to-one correspondence. In this study, the J-CAT scores were used as a benchmark to differentiate learners of different proficiency levels. A total of 1400 essays were utilized, representing the beginner (aligned with A1), A2, B1, B2, C1, and C2 levels based on the J-CAT scores. Table 1 provides information about the learners’ proficiency levels and their corresponding J-CAT and SPOT scores.

A dataset comprising a total of 1400 essays from the story writing tasks was collected. Among these, 714 essays were utilized to evaluate the reliability of the LLM-based AES method, while the remaining 686 essays were designated as development data to assess the LLM-based AES’s capability to distinguish participants with varying proficiency levels. The GPT 4 API was used in this study. A detailed explanation of the prompt-assessment criteria is provided in Section Prompt . All essays were sent to the model for measurement and scoring.

Measures of writing proficiency for nonnative Japanese

Japanese exhibits a morphologically agglutinative structure where morphemes are attached to the word stem to convey grammatical functions such as tense, aspect, voice, and honorifics, e.g. (5).

食べ-させ-られ-まし-た-か

tabe-sase-rare-mashi-ta-ka

[eat (stem)-causative-passive voice-honorification-tense. past-question marker]

Japanese employs nine case particles to indicate grammatical functions: the nominative case particle が (ga), the accusative case particle を (o), the genitive case particle の (no), the dative case particle に (ni), the locative/instrumental case particle で (de), the ablative case particle から (kara), the directional case particle へ (e), and the comitative case particle と (to). The agglutinative nature of the language, combined with the case particle system, provides an efficient means of distinguishing between active and passive voice, either through morphemes or case particles, e.g. 食べる taberu “eat concusive . ” (active voice); 食べられる taberareru “eat concusive . ” (passive voice). In the active voice, “パン を 食べる” (pan o taberu) translates to “to eat bread”. On the other hand, in the passive voice, it becomes “パン が 食べられた” (pan ga taberareta), which means “(the) bread was eaten”. Additionally, it is important to note that different conjugations of the same lemma are considered as one type in order to ensure a comprehensive assessment of the language features. For example, e.g., 食べる taberu “eat concusive . ”; 食べている tabeteiru “eat progress .”; 食べた tabeta “eat past . ” as one type.

To incorporate these features, previous research (Suzuki, 1999 ; Watanabe et al. 1988 ; Ishioka, 2001 ; Ishioka and Kameda, 2006 ; Hirao et al. 2020 ) has identified complexity, fluency, and accuracy as crucial factors for evaluating writing quality. These criteria are assessed through various aspects, including lexical richness (lexical density, diversity, and sophistication), syntactic complexity, and cohesion (Kyle et al. 2021 ; Mizumoto and Eguchi, 2023 ; Ure, 1971 ; Halliday, 1985 ; Barkaoui and Hadidi, 2020 ; Zenker and Kyle, 2021 ; Kim et al. 2018 ; Lu, 2017 ; Ortega, 2015 ). Therefore, this study proposes five scoring categories: lexical richness, syntactic complexity, cohesion, content elaboration, and grammatical accuracy. A total of 16 measures were employed to capture these categories. The calculation process and specific details of these measures can be found in Table 2 .

T-unit, first introduced by Hunt ( 1966 ), is a measure used for evaluating speech and composition. It serves as an indicator of syntactic development and represents the shortest units into which a piece of discourse can be divided without leaving any sentence fragments. In the context of Japanese language assessment, Sakoda and Hosoi ( 2020 ) utilized T-unit as the basic unit to assess the accuracy and complexity of Japanese learners’ speaking and storytelling. The calculation of T-units in Japanese follows the following principles:

A single main clause constitutes 1 T-unit, regardless of the presence or absence of dependent clauses, e.g. (6).

ケンとマリはピクニックに行きました (main clause): 1 T-unit.

If a sentence contains a main clause along with subclauses, each subclause is considered part of the same T-unit, e.g. (7).

天気が良かった の で (subclause)、ケンとマリはピクニックに行きました (main clause): 1 T-unit.

In the case of coordinate clauses, where multiple clauses are connected, each coordinated clause is counted separately. Thus, a sentence with coordinate clauses may have 2 T-units or more, e.g. (8).

ケンは地図で場所を探して (coordinate clause)、マリはサンドイッチを作りました (coordinate clause): 2 T-units.

Lexical diversity refers to the range of words used within a text (Engber, 1995 ; Kyle et al. 2021 ) and is considered a useful measure of the breadth of vocabulary in L n production (Jarvis, 2013a , 2013b ).

The type/token ratio (TTR) is widely recognized as a straightforward measure for calculating lexical diversity and has been employed in numerous studies. These studies have demonstrated a strong correlation between TTR and other methods of measuring lexical diversity (e.g., Bentz et al. 2016 ; Čech and Miroslav, 2018 ; Çöltekin and Taraka, 2018 ). TTR is computed by considering both the number of unique words (types) and the total number of words (tokens) in a given text. Given that the length of learners’ writing texts can vary, this study employs the moving average type-token ratio (MATTR) to mitigate the influence of text length. MATTR is calculated using a 50-word moving window. Initially, a TTR is determined for words 1–50 in an essay, followed by words 2–51, 3–52, and so on until the end of the essay is reached (Díez-Ortega and Kyle, 2023 ). The final MATTR scores were obtained by averaging the TTR scores for all 50-word windows. The following formula was employed to derive MATTR:

\({\rm{MATTR}}({\rm{W}})=\frac{{\sum }_{{\rm{i}}=1}^{{\rm{N}}-{\rm{W}}+1}{{\rm{F}}}_{{\rm{i}}}}{{\rm{W}}({\rm{N}}-{\rm{W}}+1)}\)

Here, N refers to the number of tokens in the corpus. W is the randomly selected token size (W < N). \({F}_{i}\) is the number of types in each window. The \({\rm{MATTR}}({\rm{W}})\) is the mean of a series of type-token ratios (TTRs) based on the word form for all windows. It is expected that individuals with higher language proficiency will produce texts with greater lexical diversity, as indicated by higher MATTR scores.

Lexical density was captured by the ratio of the number of lexical words to the total number of words (Lu, 2012 ). Lexical sophistication refers to the utilization of advanced vocabulary, often evaluated through word frequency indices (Crossley et al. 2013 ; Haberman, 2008 ; Kyle and Crossley, 2015 ; Laufer and Nation, 1995 ; Lu, 2012 ; Read, 2000 ). In line of writing, lexical sophistication can be interpreted as vocabulary breadth, which entails the appropriate usage of vocabulary items across various lexicon-grammatical contexts and registers (Garner et al. 2019 ; Kim et al. 2018 ; Kyle et al. 2018 ). In Japanese specifically, words are considered lexically sophisticated if they are not included in the “Japanese Education Vocabulary List Ver 1.0”. Footnote 4 Consequently, lexical sophistication was calculated by determining the number of sophisticated word types relative to the total number of words per essay. Furthermore, it has been suggested that, in Japanese writing, sentences should ideally have a length of no more than 40 to 50 characters, as this promotes readability. Therefore, the median and maximum sentence length can be considered as useful indices for assessment (Ishioka and Kameda, 2006 ).

Syntactic complexity was assessed based on several measures, including the mean length of clauses, verb phrases per T-unit, clauses per T-unit, dependent clauses per T-unit, complex nominals per clause, adverbial clauses per clause, coordinate phrases per clause, and mean dependency distance (MDD). The MDD reflects the distance between the governor and dependent positions in a sentence. A larger dependency distance indicates a higher cognitive load and greater complexity in syntactic processing (Liu, 2008 ; Liu et al. 2017 ). The MDD has been established as an efficient metric for measuring syntactic complexity (Jiang, Quyang, and Liu, 2019 ; Li and Yan, 2021 ). To calculate the MDD, the position numbers of the governor and dependent are subtracted, assuming that words in a sentence are assigned in a linear order, such as W1 … Wi … Wn. In any dependency relationship between words Wa and Wb, Wa is the governor and Wb is the dependent. The MDD of the entire sentence was obtained by taking the absolute value of governor – dependent:

MDD = \(\frac{1}{n}{\sum }_{i=1}^{n}|{\rm{D}}{{\rm{D}}}_{i}|\)

In this formula, \(n\) represents the number of words in the sentence, and \({DD}i\) is the dependency distance of the \({i}^{{th}}\) dependency relationship of a sentence. Building on this, the annotation of sentence ‘Mary-ga-John-ni-keshigomu-o-watashita was [Mary- top -John- dat -eraser- acc -give- past] ’. The sentence’s MDD would be 2. Table 3 provides the CSV file as a prompt for GPT 4.

Cohesion (semantic similarity) and content elaboration aim to capture the ideas presented in test taker’s essays. Cohesion was assessed using three measures: Synonym overlap/paragraph (topic), Synonym overlap/paragraph (keywords), and word2vec cosine similarity. Content elaboration and development were measured as the number of metadiscourse markers (type)/number of words. To capture content closely, this study proposed a novel-distance based representation, by encoding the cosine distance between the essay (by learner) and essay task’s (topic and keyword) i -vectors. The learner’s essay is decoded into a word sequence, and aligned to the essay task’ topic and keyword for log-likelihood measurement. The cosine distance reveals the content elaboration score in the leaners’ essay. The mathematical equation of cosine similarity between target-reference vectors is shown in (11), assuming there are i essays and ( L i , …. L n ) and ( N i , …. N n ) are the vectors representing the learner and task’s topic and keyword respectively. The content elaboration distance between L i and N i was calculated as follows:

\(\cos \left(\theta \right)=\frac{{\rm{L}}\,\cdot\, {\rm{N}}}{\left|{\rm{L}}\right|{\rm{|N|}}}=\frac{\mathop{\sum }\nolimits_{i=1}^{n}{L}_{i}{N}_{i}}{\sqrt{\mathop{\sum }\nolimits_{i=1}^{n}{L}_{i}^{2}}\sqrt{\mathop{\sum }\nolimits_{i=1}^{n}{N}_{i}^{2}}}\)

A high similarity value indicates a low difference between the two recognition outcomes, which in turn suggests a high level of proficiency in content elaboration.

To evaluate the effectiveness of the proposed measures in distinguishing different proficiency levels among nonnative Japanese speakers’ writing, we conducted a multi-faceted Rasch measurement analysis (Linacre, 1994 ). This approach applies measurement models to thoroughly analyze various factors that can influence test outcomes, including test takers’ proficiency, item difficulty, and rater severity, among others. The underlying principles and functionality of multi-faceted Rasch measurement are illustrated in (12).

\(\log \left(\frac{{P}_{{nijk}}}{{P}_{{nij}(k-1)}}\right)={B}_{n}-{D}_{i}-{C}_{j}-{F}_{k}\)

(12) defines the logarithmic transformation of the probability ratio ( P nijk /P nij(k-1) )) as a function of multiple parameters. Here, n represents the test taker, i denotes a writing proficiency measure, j corresponds to the human rater, and k represents the proficiency score. The parameter B n signifies the proficiency level of test taker n (where n ranges from 1 to N). D j represents the difficulty parameter of test item i (where i ranges from 1 to L), while C j represents the severity of rater j (where j ranges from 1 to J). Additionally, F k represents the step difficulty for a test taker to move from score ‘k-1’ to k . P nijk refers to the probability of rater j assigning score k to test taker n for test item i . P nij(k-1) represents the likelihood of test taker n being assigned score ‘k-1’ by rater j for test item i . Each facet within the test is treated as an independent parameter and estimated within the same reference framework. To evaluate the consistency of scores obtained through both human and computer analysis, we utilized the Infit mean-square statistic. This statistic is a chi-square measure divided by the degrees of freedom and is weighted with information. It demonstrates higher sensitivity to unexpected patterns in responses to items near a person’s proficiency level (Linacre, 2002 ). Fit statistics are assessed based on predefined thresholds for acceptable fit. For the Infit MNSQ, which has a mean of 1.00, different thresholds have been suggested. Some propose stricter thresholds ranging from 0.7 to 1.3 (Bond et al. 2021 ), while others suggest more lenient thresholds ranging from 0.5 to 1.5 (Eckes, 2009 ). In this study, we adopted the criterion of 0.70–1.30 for the Infit MNSQ.

Moving forward, we can now proceed to assess the effectiveness of the 16 proposed measures based on five criteria for accurately distinguishing various levels of writing proficiency among non-native Japanese speakers. To conduct this evaluation, we utilized the development dataset from the I-JAS corpus, as described in Section Dataset . Table 4 provides a measurement report that presents the performance details of the 14 metrics under consideration. The measure separation was found to be 4.02, indicating a clear differentiation among the measures. The reliability index for the measure separation was 0.891, suggesting consistency in the measurement. Similarly, the person separation reliability index was 0.802, indicating the accuracy of the assessment in distinguishing between individuals. All 16 measures demonstrated Infit mean squares within a reasonable range, ranging from 0.76 to 1.28. The Synonym overlap/paragraph (topic) measure exhibited a relatively high outfit mean square of 1.46, although the Infit mean square falls within an acceptable range. The standard error for the measures ranged from 0.13 to 0.28, indicating the precision of the estimates.

Table 5 further illustrated the weights assigned to different linguistic measures for score prediction, with higher weights indicating stronger correlations between those measures and higher scores. Specifically, the following measures exhibited higher weights compared to others: moving average type token ratio per essay has a weight of 0.0391. Mean dependency distance had a weight of 0.0388. Mean length of clause, calculated by dividing the number of words by the number of clauses, had a weight of 0.0374. Complex nominals per T-unit, calculated by dividing the number of complex nominals by the number of T-units, had a weight of 0.0379. Coordinate phrases rate, calculated by dividing the number of coordinate phrases by the number of clauses, had a weight of 0.0325. Grammatical error rate, representing the number of errors per essay, had a weight of 0.0322.

Criteria (output indicator)

The criteria used to evaluate the writing ability in this study were based on CEFR, which follows a six-point scale ranging from A1 to C2. To assess the quality of Japanese writing, the scoring criteria from Table 6 were utilized. These criteria were derived from the IELTS writing standards and served as assessment guidelines and prompts for the written output.

A prompt is a question or detailed instruction that is provided to the model to obtain a proper response. After several pilot experiments, we decided to provide the measures (Section Measures of writing proficiency for nonnative Japanese ) as the input prompt and use the criteria (Section Criteria (output indicator) ) as the output indicator. Regarding the prompt language, considering that the LLM was tasked with rating Japanese essays, would prompt in Japanese works better Footnote 5 ? We conducted experiments comparing the performance of GPT-4 using both English and Japanese prompts. Additionally, we utilized the Japanese local model OCLL with Japanese prompts. Multiple trials were conducted using the same sample. Regardless of the prompt language used, we consistently obtained the same grading results with GPT-4, which assigned a grade of B1 to the writing sample. This suggested that GPT-4 is reliable and capable of producing consistent ratings regardless of the prompt language. On the other hand, when we used Japanese prompts with the Japanese local model “OCLL”, we encountered inconsistent grading results. Out of 10 attempts with OCLL, only 6 yielded consistent grading results (B1), while the remaining 4 showed different outcomes, including A1 and B2 grades. These findings indicated that the language of the prompt was not the determining factor for reliable AES. Instead, the size of the training data and the model parameters played crucial roles in achieving consistent and reliable AES results for the language model.

The following is the utilized prompt, which details all measures and requires the LLM to score the essays using holistic and trait scores.

Please evaluate Japanese essays written by Japanese learners and assign a score to each essay on a six-point scale, ranging from A1, A2, B1, B2, C1 to C2. Additionally, please provide trait scores and display the calculation process for each trait score. The scoring should be based on the following criteria:

Moving average type-token ratio.

Number of lexical words (token) divided by the total number of words per essay.

Number of sophisticated word types divided by the total number of words per essay.

Mean length of clause.

Verb phrases per T-unit.

Clauses per T-unit.

Dependent clauses per T-unit.

Complex nominals per clause.

Adverbial clauses per clause.

Coordinate phrases per clause.

Mean dependency distance.

Synonym overlap paragraph (topic and keywords).

Word2vec cosine similarity.

Connectives per essay.

Conjunctions per essay.

Number of metadiscourse markers (types) divided by the total number of words.

Number of errors per essay.

Japanese essay text

出かける前に二人が地図を見ている間に、サンドイッチを入れたバスケットに犬が入ってしまいました。それに気づかずに二人は楽しそうに出かけて行きました。やがて突然犬がバスケットから飛び出し、二人は驚きました。バスケット の 中を見ると、食べ物はすべて犬に食べられていて、二人は困ってしまいました。(ID_JJJ01_SW1)

The score of the example above was B1. Figure 3 provides an example of holistic and trait scores provided by GPT-4 (with a prompt indicating all measures) via Bing Footnote 6 .

figure 3

Example of GPT-4 AES and feedback (with a prompt indicating all measures).

Statistical analysis

The aim of this study is to investigate the potential use of LLM for nonnative Japanese AES. It seeks to compare the scoring outcomes obtained from feature-based AES tools, which rely on conventional machine learning technology (i.e. Jess, JWriter), with those generated by AI-driven AES tools utilizing deep learning technology (BERT, GPT, OCLL). To assess the reliability of a computer-assisted annotation tool, the study initially established human-human agreement as the benchmark measure. Subsequently, the performance of the LLM-based method was evaluated by comparing it to human-human agreement.

To assess annotation agreement, the study employed standard measures such as precision, recall, and F-score (Brants 2000 ; Lu 2010 ), along with the quadratically weighted kappa (QWK) to evaluate the consistency and agreement in the annotation process. Assume A and B represent human annotators. When comparing the annotations of the two annotators, the following results are obtained. The evaluation of precision, recall, and F-score metrics was illustrated in equations (13) to (15).

\({\rm{Recall}}(A,B)=\frac{{\rm{Number}}\,{\rm{of}}\,{\rm{identical}}\,{\rm{nodes}}\,{\rm{in}}\,A\,{\rm{and}}\,B}{{\rm{Number}}\,{\rm{of}}\,{\rm{nodes}}\,{\rm{in}}\,A}\)

\({\rm{Precision}}(A,\,B)=\frac{{\rm{Number}}\,{\rm{of}}\,{\rm{identical}}\,{\rm{nodes}}\,{\rm{in}}\,A\,{\rm{and}}\,B}{{\rm{Number}}\,{\rm{of}}\,{\rm{nodes}}\,{\rm{in}}\,B}\)

The F-score is the harmonic mean of recall and precision:

\({\rm{F}}-{\rm{score}}=\frac{2* ({\rm{Precision}}* {\rm{Recall}})}{{\rm{Precision}}+{\rm{Recall}}}\)

The highest possible value of an F-score is 1.0, indicating perfect precision and recall, and the lowest possible value is 0, if either precision or recall are zero.

In accordance with Taghipour and Ng ( 2016 ), the calculation of QWK involves two steps:

Step 1: Construct a weight matrix W as follows:

\({W}_{{ij}}=\frac{{(i-j)}^{2}}{{(N-1)}^{2}}\)

i represents the annotation made by the tool, while j represents the annotation made by a human rater. N denotes the total number of possible annotations. Matrix O is subsequently computed, where O_( i, j ) represents the count of data annotated by the tool ( i ) and the human annotator ( j ). On the other hand, E refers to the expected count matrix, which undergoes normalization to ensure that the sum of elements in E matches the sum of elements in O.

Step 2: With matrices O and E, the QWK is obtained as follows:

K = 1- \(\frac{\sum i,j{W}_{i,j}\,{O}_{i,j}}{\sum i,j{W}_{i,j}\,{E}_{i,j}}\)

The value of the quadratic weighted kappa increases as the level of agreement improves. Further, to assess the accuracy of LLM scoring, the proportional reductive mean square error (PRMSE) was employed. The PRMSE approach takes into account the variability observed in human ratings to estimate the rater error, which is then subtracted from the variance of the human labels. This calculation provides an overall measure of agreement between the automated scores and true scores (Haberman et al. 2015 ; Loukina et al. 2020 ; Taghipour and Ng, 2016 ). The computation of PRMSE involves the following steps:

Step 1: Calculate the mean squared errors (MSEs) for the scoring outcomes of the computer-assisted tool (MSE tool) and the human scoring outcomes (MSE human).

Step 2: Determine the PRMSE by comparing the MSE of the computer-assisted tool (MSE tool) with the MSE from human raters (MSE human), using the following formula:

\({\rm{PRMSE}}=1-\frac{({\rm{MSE}}\,{\rm{tool}})\,}{({\rm{MSE}}\,{\rm{human}})\,}=1-\,\frac{{\sum }_{i}^{n}=1{({{\rm{y}}}_{i}-{\hat{{\rm{y}}}}_{{\rm{i}}})}^{2}}{{\sum }_{i}^{n}=1{({{\rm{y}}}_{i}-\hat{{\rm{y}}})}^{2}}\)

In the numerator, ŷi represents the scoring outcome predicted by a specific LLM-driven AES system for a given sample. The term y i − ŷ i represents the difference between this predicted outcome and the mean value of all LLM-driven AES systems’ scoring outcomes. It quantifies the deviation of the specific LLM-driven AES system’s prediction from the average prediction of all LLM-driven AES systems. In the denominator, y i − ŷ represents the difference between the scoring outcome provided by a specific human rater for a given sample and the mean value of all human raters’ scoring outcomes. It measures the discrepancy between the specific human rater’s score and the average score given by all human raters. The PRMSE is then calculated by subtracting the ratio of the MSE tool to the MSE human from 1. PRMSE falls within the range of 0 to 1, with larger values indicating reduced errors in LLM’s scoring compared to those of human raters. In other words, a higher PRMSE implies that LLM’s scoring demonstrates greater accuracy in predicting the true scores (Loukina et al. 2020 ). The interpretation of kappa values, ranging from 0 to 1, is based on the work of Landis and Koch ( 1977 ). Specifically, the following categories are assigned to different ranges of kappa values: −1 indicates complete inconsistency, 0 indicates random agreement, 0.0 ~ 0.20 indicates extremely low level of agreement (slight), 0.21 ~ 0.40 indicates moderate level of agreement (fair), 0.41 ~ 0.60 indicates medium level of agreement (moderate), 0.61 ~ 0.80 indicates high level of agreement (substantial), 0.81 ~ 1 indicates almost perfect level of agreement. All statistical analyses were executed using Python script.

Results and discussion

Annotation reliability of the llm.

This section focuses on assessing the reliability of the LLM’s annotation and scoring capabilities. To evaluate the reliability, several tests were conducted simultaneously, aiming to achieve the following objectives:

Assess the LLM’s ability to differentiate between test takers with varying levels of oral proficiency.

Determine the level of agreement between the annotations and scoring performed by the LLM and those done by human raters.

The evaluation of the results encompassed several metrics, including: precision, recall, F-Score, quadratically-weighted kappa, proportional reduction of mean squared error, Pearson correlation, and multi-faceted Rasch measurement.

Inter-annotator agreement (human–human annotator agreement)

We started with an agreement test of the two human annotators. Two trained annotators were recruited to determine the writing task data measures. A total of 714 scripts, as the test data, was utilized. Each analysis lasted 300–360 min. Inter-annotator agreement was evaluated using the standard measures of precision, recall, and F-score and QWK. Table 7 presents the inter-annotator agreement for the various indicators. As shown, the inter-annotator agreement was fairly high, with F-scores ranging from 1.0 for sentence and word number to 0.666 for grammatical errors.

The findings from the QWK analysis provided further confirmation of the inter-annotator agreement. The QWK values covered a range from 0.950 ( p  = 0.000) for sentence and word number to 0.695 for synonym overlap number (keyword) and grammatical errors ( p  = 0.001).

Agreement of annotation outcomes between human and LLM

To evaluate the consistency between human annotators and LLM annotators (BERT, GPT, OCLL) across the indices, the same test was conducted. The results of the inter-annotator agreement (F-score) between LLM and human annotation are provided in Appendix B-D. The F-scores ranged from 0.706 for Grammatical error # for OCLL-human to a perfect 1.000 for GPT-human, for sentences, clauses, T-units, and words. These findings were further supported by the QWK analysis, which showed agreement levels ranging from 0.807 ( p  = 0.001) for metadiscourse markers for OCLL-human to 0.962 for words ( p  = 0.000) for GPT-human. The findings demonstrated that the LLM annotation achieved a significant level of accuracy in identifying measurement units and counts.

Reliability of LLM-driven AES’s scoring and discriminating proficiency levels

This section examines the reliability of the LLM-driven AES scoring through a comparison of the scoring outcomes produced by human raters and the LLM ( Reliability of LLM-driven AES scoring ). It also assesses the effectiveness of the LLM-based AES system in differentiating participants with varying proficiency levels ( Reliability of LLM-driven AES discriminating proficiency levels ).

Reliability of LLM-driven AES scoring

Table 8 summarizes the QWK coefficient analysis between the scores computed by the human raters and the GPT-4 for the individual essays from I-JAS Footnote 7 . As shown, the QWK of all measures ranged from k  = 0.819 for lexical density (number of lexical words (tokens)/number of words per essay) to k  = 0.644 for word2vec cosine similarity. Table 9 further presents the Pearson correlations between the 16 writing proficiency measures scored by human raters and GPT 4 for the individual essays. The correlations ranged from 0.672 for syntactic complexity to 0.734 for grammatical accuracy. The correlations between the writing proficiency scores assigned by human raters and the BERT-based AES system were found to range from 0.661 for syntactic complexity to 0.713 for grammatical accuracy. The correlations between the writing proficiency scores given by human raters and the OCLL-based AES system ranged from 0.654 for cohesion to 0.721 for grammatical accuracy. These findings indicated an alignment between the assessments made by human raters and both the BERT-based and OCLL-based AES systems in terms of various aspects of writing proficiency.

Reliability of LLM-driven AES discriminating proficiency levels

After validating the reliability of the LLM’s annotation and scoring, the subsequent objective was to evaluate its ability to distinguish between various proficiency levels. For this analysis, a dataset of 686 individual essays was utilized. Table 10 presents a sample of the results, summarizing the means, standard deviations, and the outcomes of the one-way ANOVAs based on the measures assessed by the GPT-4 model. A post hoc multiple comparison test, specifically the Bonferroni test, was conducted to identify any potential differences between pairs of levels.

As the results reveal, seven measures presented linear upward or downward progress across the three proficiency levels. These were marked in bold in Table 10 and comprise one measure of lexical richness, i.e. MATTR (lexical diversity); four measures of syntactic complexity, i.e. MDD (mean dependency distance), MLC (mean length of clause), CNT (complex nominals per T-unit), CPC (coordinate phrases rate); one cohesion measure, i.e. word2vec cosine similarity and GER (grammatical error rate). Regarding the ability of the sixteen measures to distinguish adjacent proficiency levels, the Bonferroni tests indicated that statistically significant differences exist between the primary level and the intermediate level for MLC and GER. One measure of lexical richness, namely LD, along with three measures of syntactic complexity (VPT, CT, DCT, ACC), two measures of cohesion (SOPT, SOPK), and one measure of content elaboration (IMM), exhibited statistically significant differences between proficiency levels. However, these differences did not demonstrate a linear progression between adjacent proficiency levels. No significant difference was observed in lexical sophistication between proficiency levels.

To summarize, our study aimed to evaluate the reliability and differentiation capabilities of the LLM-driven AES method. For the first objective, we assessed the LLM’s ability to differentiate between test takers with varying levels of oral proficiency using precision, recall, F-Score, and quadratically-weighted kappa. Regarding the second objective, we compared the scoring outcomes generated by human raters and the LLM to determine the level of agreement. We employed quadratically-weighted kappa and Pearson correlations to compare the 16 writing proficiency measures for the individual essays. The results confirmed the feasibility of using the LLM for annotation and scoring in AES for nonnative Japanese. As a result, Research Question 1 has been addressed.

Comparison of BERT-, GPT-, OCLL-based AES, and linguistic-feature-based computation methods

This section aims to compare the effectiveness of five AES methods for nonnative Japanese writing, i.e. LLM-driven approaches utilizing BERT, GPT, and OCLL, linguistic feature-based approaches using Jess and JWriter. The comparison was conducted by comparing the ratings obtained from each approach with human ratings. All ratings were derived from the dataset introduced in Dataset . To facilitate the comparison, the agreement between the automated methods and human ratings was assessed using QWK and PRMSE. The performance of each approach was summarized in Table 11 .

The QWK coefficient values indicate that LLMs (GPT, BERT, OCLL) and human rating outcomes demonstrated higher agreement compared to feature-based AES methods (Jess and JWriter) in assessing writing proficiency criteria, including lexical richness, syntactic complexity, content, and grammatical accuracy. Among the LLMs, the GPT-4 driven AES and human rating outcomes showed the highest agreement in all criteria, except for syntactic complexity. The PRMSE values suggest that the GPT-based method outperformed linguistic feature-based methods and other LLM-based approaches. Moreover, an interesting finding emerged during the study: the agreement coefficient between GPT-4 and human scoring was even higher than the agreement between different human raters themselves. This discovery highlights the advantage of GPT-based AES over human rating. Ratings involve a series of processes, including reading the learners’ writing, evaluating the content and language, and assigning scores. Within this chain of processes, various biases can be introduced, stemming from factors such as rater biases, test design, and rating scales. These biases can impact the consistency and objectivity of human ratings. GPT-based AES may benefit from its ability to apply consistent and objective evaluation criteria. By prompting the GPT model with detailed writing scoring rubrics and linguistic features, potential biases in human ratings can be mitigated. The model follows a predefined set of guidelines and does not possess the same subjective biases that human raters may exhibit. This standardization in the evaluation process contributes to the higher agreement observed between GPT-4 and human scoring. Section Prompt strategy of the study delves further into the role of prompts in the application of LLMs to AES. It explores how the choice and implementation of prompts can impact the performance and reliability of LLM-based AES methods. Furthermore, it is important to acknowledge the strengths of the local model, i.e. the Japanese local model OCLL, which excels in processing certain idiomatic expressions. Nevertheless, our analysis indicated that GPT-4 surpasses local models in AES. This superior performance can be attributed to the larger parameter size of GPT-4, estimated to be between 500 billion and 1 trillion, which exceeds the sizes of both BERT and the local model OCLL.

Prompt strategy

In the context of prompt strategy, Mizumoto and Eguchi ( 2023 ) conducted a study where they applied the GPT-3 model to automatically score English essays in the TOEFL test. They found that the accuracy of the GPT model alone was moderate to fair. However, when they incorporated linguistic measures such as cohesion, syntactic complexity, and lexical features alongside the GPT model, the accuracy significantly improved. This highlights the importance of prompt engineering and providing the model with specific instructions to enhance its performance. In this study, a similar approach was taken to optimize the performance of LLMs. GPT-4, which outperformed BERT and OCLL, was selected as the candidate model. Model 1 was used as the baseline, representing GPT-4 without any additional prompting. Model 2, on the other hand, involved GPT-4 prompted with 16 measures that included scoring criteria, efficient linguistic features for writing assessment, and detailed measurement units and calculation formulas. The remaining models (Models 3 to 18) utilized GPT-4 prompted with individual measures. The performance of these 18 different models was assessed using the output indicators described in Section Criteria (output indicator) . By comparing the performances of these models, the study aimed to understand the impact of prompt engineering on the accuracy and effectiveness of GPT-4 in AES tasks.

Based on the PRMSE scores presented in Fig. 4 , it was observed that Model 1, representing GPT-4 without any additional prompting, achieved a fair level of performance. However, Model 2, which utilized GPT-4 prompted with all measures, outperformed all other models in terms of PRMSE score, achieving a score of 0.681. These results indicate that the inclusion of specific measures and prompts significantly enhanced the performance of GPT-4 in AES. Among the measures, syntactic complexity was found to play a particularly significant role in improving the accuracy of GPT-4 in assessing writing quality. Following that, lexical diversity emerged as another important factor contributing to the model’s effectiveness. The study suggests that a well-prompted GPT-4 can serve as a valuable tool to support human assessors in evaluating writing quality. By utilizing GPT-4 as an automated scoring tool, the evaluation biases associated with human raters can be minimized. This has the potential to empower teachers by allowing them to focus on designing writing tasks and guiding writing strategies, while leveraging the capabilities of GPT-4 for efficient and reliable scoring.

figure 4

PRMSE scores of the 18 AES models.

This study aimed to investigate two main research questions: the feasibility of utilizing LLMs for AES and the impact of prompt engineering on the application of LLMs in AES.

To address the first objective, the study compared the effectiveness of five different models: GPT, BERT, the Japanese local LLM (OCLL), and two conventional machine learning-based AES tools (Jess and JWriter). The PRMSE values indicated that the GPT-4-based method outperformed other LLMs (BERT, OCLL) and linguistic feature-based computational methods (Jess and JWriter) across various writing proficiency criteria. Furthermore, the agreement coefficient between GPT-4 and human scoring surpassed the agreement among human raters themselves, highlighting the potential of using the GPT-4 tool to enhance AES by reducing biases and subjectivity, saving time, labor, and cost, and providing valuable feedback for self-study. Regarding the second goal, the role of prompt design was investigated by comparing 18 models, including a baseline model, a model prompted with all measures, and 16 models prompted with one measure at a time. GPT-4, which outperformed BERT and OCLL, was selected as the candidate model. The PRMSE scores of the models showed that GPT-4 prompted with all measures achieved the best performance, surpassing the baseline and other models.

In conclusion, this study has demonstrated the potential of LLMs in supporting human rating in assessments. By incorporating automation, we can save time and resources while reducing biases and subjectivity inherent in human rating processes. Automated language assessments offer the advantage of accessibility, providing equal opportunities and economic feasibility for individuals who lack access to traditional assessment centers or necessary resources. LLM-based language assessments provide valuable feedback and support to learners, aiding in the enhancement of their language proficiency and the achievement of their goals. This personalized feedback can cater to individual learner needs, facilitating a more tailored and effective language-learning experience.

There are three important areas that merit further exploration. First, prompt engineering requires attention to ensure optimal performance of LLM-based AES across different language types. This study revealed that GPT-4, when prompted with all measures, outperformed models prompted with fewer measures. Therefore, investigating and refining prompt strategies can enhance the effectiveness of LLMs in automated language assessments. Second, it is crucial to explore the application of LLMs in second-language assessment and learning for oral proficiency, as well as their potential in under-resourced languages. Recent advancements in self-supervised machine learning techniques have significantly improved automatic speech recognition (ASR) systems, opening up new possibilities for creating reliable ASR systems, particularly for under-resourced languages with limited data. However, challenges persist in the field of ASR. First, ASR assumes correct word pronunciation for automatic pronunciation evaluation, which proves challenging for learners in the early stages of language acquisition due to diverse accents influenced by their native languages. Accurately segmenting short words becomes problematic in such cases. Second, developing precise audio-text transcriptions for languages with non-native accented speech poses a formidable task. Last, assessing oral proficiency levels involves capturing various linguistic features, including fluency, pronunciation, accuracy, and complexity, which are not easily captured by current NLP technology.

Data availability

The dataset utilized was obtained from the International Corpus of Japanese as a Second Language (I-JAS). The data URLs: [ https://www2.ninjal.ac.jp/jll/lsaj/ihome2.html ].

J-CAT and TTBJ are two computerized adaptive tests used to assess Japanese language proficiency.

SPOT is a specific component of the TTBJ test.

J-CAT: https://www.j-cat2.org/html/ja/pages/interpret.html

SPOT: https://ttbj.cegloc.tsukuba.ac.jp/p1.html#SPOT .

The study utilized a prompt-based GPT-4 model, developed by OpenAI, which has an impressive architecture with 1.8 trillion parameters across 120 layers. GPT-4 was trained on a vast dataset of 13 trillion tokens, using two stages: initial training on internet text datasets to predict the next token, and subsequent fine-tuning through reinforcement learning from human feedback.

https://www2.ninjal.ac.jp/jll/lsaj/ihome2-en.html .

http://jhlee.sakura.ne.jp/JEV/ by Japanese Learning Dictionary Support Group 2015.

We express our sincere gratitude to the reviewer for bringing this matter to our attention.

On February 7, 2023, Microsoft began rolling out a major overhaul to Bing that included a new chatbot feature based on OpenAI’s GPT-4 (Bing.com).

Appendix E-F present the analysis results of the QWK coefficient between the scores computed by the human raters and the BERT, OCLL models.

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Li, W., Liu, H. Applying large language models for automated essay scoring for non-native Japanese. Humanit Soc Sci Commun 11 , 723 (2024). https://doi.org/10.1057/s41599-024-03209-9

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