{"id":1155,"date":"2026-11-02T06:33:37","date_gmt":"2026-11-02T06:33:37","guid":{"rendered":"https:\/\/blog.ai-tutor.ai\/?p=1155"},"modified":"2026-11-02T06:34:27","modified_gmt":"2026-11-02T06:34:27","slug":"how-can-a-teacher-tell-if-a-paper-is-ai-generated","status":"publish","type":"post","link":"https:\/\/blog.ai-tutor.ai\/how-can-a-teacher-tell-if-a-paper-is-ai-generated\/","title":{"rendered":"How Can a Teacher Tell If a Paper is AI-Generated? And What Should They Actually Do About It?"},"content":{"rendered":"\n

I think we\u2019ve all gotten very good at convincing ourselves that we\u2019re absolutely incredible at spotting signs of AI in content, probably because, in fairness, AI influence used to be pretty obvious. You\u2019d see a generic GPTism or an em dash, feel your internal alarm go off, paste the content into any random AI detector, and get a score that immediately confirmed your suspicion.<\/p>\n\n\n\n

Unfortunately, that\u2019s created a very dangerous scenario in the education space. Instead of assuming a student has learned some new words or improved their writing, we surmise that any change in a student\u2019s work must be a result of AI, and since most AI detectors struggle with very high false positive rates<\/a><\/strong> (particularly with structured academic writing), their scores don\u2019t always help much.<\/p>\n\n\n\n

I do think it\u2019s important for teachers to check for AI, since your students probably aren\u2019t learning much if they really are passing all of their homework onto an LLM. I just also think that we need to be more cautious about inspecting the work produced.<\/strong><\/p>\n\n\n\n\n\n\n\n

Signs of AI-Generated Writing: What to Look For<\/h2>\n\n\n\n

Most of us have seen enough AI-generated content to recognize the \u2018common\u2019 signs, at this point, though I would say that plenty of LLMs use phrasing and words that make perfect sense for a human to use too, so I wouldn\u2019t assume that a student using the word \u201cdelve\u201d or \u201cmoreover\u201d automatically means a paper was written by ChatGPT.<\/strong><\/p>\n\n\n\n

Look for bigger signs such as:<\/p>\n\n\n\n

The Writing Doesn\u2019t Sound Anything Like the Student<\/h3>\n\n\n\n

Again, students learn and expand their vocabulary over time, so them deciding to use a couple of unfamiliar words here and there really isn\u2019t evidence of anything. Pay more attention to a huge and reasonably sudden change in how their writing sounds.<\/strong><\/p>\n\n\n\n

If they\u2019ve always written in a pretty straightforward way, with lots of contractions, informalities, and shorter sentences, and then they suddenly hand in an essay filled with jargon and formal prose, that might signal an issue.<\/p>\n\n\n\n

The good thing about looking at the overall style of writing here is that you, as a teacher, have an advantage over AI detectors.<\/strong> You know what your students have been learning in class, and what they usually sound like, and you know what you asked for in assignments. Maybe you told a student to try using longer sentences, or reduce slang. You can take that into account.<\/p>\n\n\n\n

Generic Arguments and Fake Citations<\/h3>\n\n\n\n

We\u2019re all familiar with how AI tends to create an illusion of \u2018depth\u2019 in an argument, saying something\u2019s not just [one thing] it\u2019s [something else], without actually explaining the connection or why that statement matters.<\/p>\n\n\n\n

If you\u2019ve asked your student to write a persuasive essay about something like why smartphones shouldn\u2019t be banned from schools, look at how they frame the argument. Do they just list statistics and studies, or do they explain what they think they imply?<\/strong> Do they bring in any of their own personal experiences or opinions?<\/p>\n\n\n\n

Another thing to check for is fake citations and factual errors<\/strong> in the evidence your student decides to use. LLMs are brilliant at inventing academic articles, attributing quotes to the wrong people, or making up \u2018results\u2019 from a study that never really happened. Look at the study from May 2026<\/a> where researchers looked at 456 AI-generated citations and found nearly half of them had something fabricated in them. You should be able to check if the references are accurate.<\/p>\n\n\n\n

A generic argument might just mean the student still doesn\u2019t understand the topic very well and a bad citation could be a mistake, but even if that\u2019s the case, a conversation with them will give you an idea of what you need to work on.<\/strong><\/p>\n\n\n\n

The Structure Is Very Predictable<\/h3>\n\n\n\n

Once again, don\u2019t rely on this too much by itself, because there\u2019s every chance you\u2019ve taught your students to follow specific formulas when they\u2019re writing certain kinds of papers. It makes plenty of sense for an essay to introduce a problem, discuss the importance of it, cover different perspectives, and then wrap up with a verdict.<\/p>\n\n\n\n

It\u2019s a little more worrying if everything seems formulaic, as though your student has been following a checklist for every paragraph.<\/strong> Same thing if every single sentence or paragraph is almost exactly the same length, and the writing is packed with predictable transitions and summaries.<\/p>\n\n\n\n

I know some people talk about checking for things like \u2018perplexity\u2019 and \u2018burstiness\u2019 too, which measure how predictable and varied the writing is. Perplexity-based methods were common in the early days of AI detection, but they aren\u2019t how every detector works. Pangram, for instance, uses a classifier model trained to distinguish human writing from AI-generated text, rather than relying on perplexity. Either way, just because an essay is hyper-neat doesn\u2019t mean a human didn\u2019t write it.<\/strong><\/p>\n\n\n\n

What to Look For Outside of the Writing<\/h2>\n\n\n\n

I personally think this part is a lot more telling than checking the writing for specific words or grammatical elements<\/strong>, but it still deserves a fair bit of caution. For instance, I might write a whole article in a Word document and then paste it into a different system, so just checking for \u2018pasted blocks\u2019 doesn\u2019t tell anyone I\u2019ve definitely been using an LLM.<\/p>\n\n\n\n

Evidence of Time Spent on an Essay<\/h3>\n\n\n\n

Google Docs and a handful of other tools come with version histories, so you can look back and see how the piece might have come together over time.<\/p>\n\n\n\n

If a student submits an assignment, you check the version history, and it seems like the whole thing appeared out of nowhere, that could be a sign you have something to talk about.<\/strong> Just remember that students can write in other apps, work offline, and paste completed work (without the planning history) into a submission tool.<\/p>\n\n\n\n

If a piece does seem to come out of nowhere, ask the student a little about their writing process<\/strong>, what they researched, and if they had any particular difficulties with certain sections before you accuse them of using AI.<\/p>\n\n\n\n

Sudden Jumps in Quality<\/h3>\n\n\n\n

This is similar to checking for the use of new words and phrases in a piece of content, so it needs the same care. A student using better evidence in an essay or updating their grammar doesn\u2019t automatically mean they\u2019re relying on AI.<\/strong> They could be getting better at their work.<\/p>\n\n\n\n

Look at their behavior in class first. Do they seem like they\u2019ve understood any feedback you\u2019ve been giving, or that they\u2019re confident with the assignment? If they\u2019ve given a very good argument, can they explain the thinking behind it?<\/strong> Maybe they could tell you why they chose one quote over another, or tell you why they\u2019ve made an unusual statement.<\/p>\n\n\n\n

Remember, some students will still struggle to give a good answer on the spot, even if they genuinely did the work and the research themselves. Give them a chance to refer to their notes if they need to, or come back to you and explain their thinking in writing.<\/p>\n\n\n\n

Scores from a Reliable AI Detector<\/h3>\n\n\n\n

Be very careful with this one, because as I said before, no AI detector is perfect<\/a>. If you\u2019re going to approach a student and question whether they\u2019ve used AI, you need more than a percentage score.<\/strong><\/p>\n\n\n\n

I recommend using Pangram<\/a> for educators, for a few reasons. First, it integrates with Canvas, Google Classroom, Moodle, Brightspace, Schoology, and Blackboard<\/strong>, as well as Google Docs, so it fits into tools and platforms teachers already use. Secondly, it\u2019s got the lowest false-positive rate of any detector I\u2019ve seen<\/strong>. Thirdly, it sorts content into more groups than just \u201cAI-generated\u201d or \u201chuman-written\u201d.<\/p>\n\n\n\n

\"pangram<\/figure>\n\n\n\n

Pangram can tell if writing has been AI-assisted<\/strong>, which may just mean a student used a tool for research, or something like Grammarly to spruce things up before submission. It can also identify hybrid writing<\/strong> (where a bot and a human author work together), and tell you if sections look like they\u2019ve been humanized by an outside tool<\/strong>. All of that information gives you a better idea of what you really need to address with a student, before you start accusing them of anything. You can read more about how it performed in my Pangram review<\/a>.<\/p>\n\n\n\n

If you want to see how the alternatives compare, I\u2019ve also tested Turnitin<\/a> and the Grammarly AI Detector<\/a> on real student essays, and my roundup of the best AI detectors for teachers<\/a> ranks the main options side by side.<\/p>\n\n\n\n

Use what you learn from something like Pangram as evidence to back up why you\u2019re concerned, but always give the student a chance to explain what really happened.<\/strong><\/p>\n\n\n\n

What to Do If You Suspect a Paper Is AI-Generated<\/h2>\n\n\n\n

I know teachers are busy, and it\u2019s easy to spot something in a paper that seems AI-generated, feel frustrated at a student\u2019s apparent lack of effort, and immediately bump down their grade. Still, the best thing you can do is slow down and look at all the facts side by side.<\/strong><\/p>\n\n\n\n

Compare the Paper with Previous Assignments<\/h3>\n\n\n\n

First, look at the paper next to a few relatively recent ones from the same student. Are there any sudden and dramatic differences? A few new words or a bit of improvement in structure or research doesn\u2019t prove anything, but if you can\u2019t see any evidence of that student\u2019s work evolving over time, and it suddenly seems to change for just one essay, that may be something to talk about.<\/strong><\/p>\n\n\n\n

Check the Sources and History<\/h3>\n\n\n\n

Look up any questionable references or citations<\/strong>, and make a note of anything that might not be completely accurate. If there\u2019s a version history attached to the document your student submitted, you can check that too. Just don\u2019t assume pasted blocks were automatically pasted straight from a GPT.<\/p>\n\n\n\n

Use a Trustworthy AI Detector<\/h3>\n\n\n\n

Now you can use something like Pangram<\/a> to examine any passages you\u2019re feeling particularly uncertain about. Note down whether they\u2019re flagged as fully AI-generated, AI-assisted, paraphrased, or hybrid<\/strong>, and what each of those things could mean. Make a note of anything flagged that you\u2019ve missed too, even sections identified as \u201chuman-written\u201d that you assumed were produced by AI.<\/p>\n\n\n\n

Speak to the Student<\/h3>\n\n\n\n

Bring all of the evidence you\u2019ve gathered to the conversation, and ask your student to talk you through how they approached the assignment first.<\/strong> Be calm, and avoid making any direct accusations straight away, otherwise they\u2019re likely to get defensive. Then ask questions about the things you\u2019ve spotted, and give them a chance to explain why the style, research process, or grammar looks different.<\/p>\n\n\n\n

Follow Your School\u2019s Academic Integrity Policy<\/h3>\n\n\n\n

Check what AI assistance was permitted by the assignment.<\/strong> For instance, the student might have been allowed to use a tool for research or spelling checks. It\u2019s also worth making sure you\u2019re following any rules your institution has set for using AI detection tools too, particularly if you\u2019re not sure how submissions are stored and used by the detector. Then document your findings, and let the student respond according to the policies you have in place.<\/p>\n\n\n\n

Be Cautious When Checking for AI in Student Papers<\/h2>\n\n\n\n

Teachers definitely need to be wary of evidence that students are overly reliant on AI these days, particularly since these tools are making it so easy to speed up a lot of time-consuming homework. Still, I think we need to be careful of convincing ourselves that we can definitely judge whether AI was involved in a piece of work just with a gut call, or an AI detector score<\/strong>, even if that score comes from something as reliable as Pangram.<\/p>\n\n\n\n

As a teacher, you should have more evidence to work from. You know how your student usually writes, what they\u2019ve struggled with before, and where they\u2019re improving<\/strong>, and that can help you make a more honest assessment of how much bot assistance they might have got.<\/p>\n\n\n\n

If you do think that there\u2019s a problem, don\u2019t rush into accusations, gather the evidence you have, take the time to speak with the student, and give them a chance to explain anything you\u2019re concerned about. Improvement from one assignment to the next shouldn\u2019t be automatic evidence that your students are cheating.<\/strong> It could be a sign that they\u2019re doing what they\u2019re supposed to do: learning how to get better.<\/p>\n","protected":false},"excerpt":{"rendered":"

Don\u2019t rely on an AI detector score or gut instinct alone. Here\u2019s what to look for in a student\u2019s writing, and what to do with the detector result.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6,1],"tags":[],"class_list":["post-1155","post","type-post","status-publish","format-standard","hentry","category-ai-tools","category-articles"],"acf":[],"yoast_head":"\nHow Can a Teacher Tell If a Paper Is AI-Generated?<\/title>\n<meta name=\"description\" content=\"Don\u2019t rely on an AI detector score or gut instinct alone. 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