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Low reported severity Internal Action

Over half of a Purdue programming class dropped the course after the professor emailed 200-plus students alleging AI cheating; allegations later withdrawn

In April 2026 the professor teaching CS 240, a programming course at Purdue University in West Lafayette, Indiana, emailed more than 200 students in the class alleging that he had caught them cheating on assignments with AI tools, according to the Lafayette Journal & Courier. The email gave the students a form on which to admit or deny AI use on each assignment and warned that failure to respond would result in an F for the course and an unfavourable letter to the dean of students. It was sent on the deadline for dropping a class, and more than half of the class unenrolled. A student quoted by the newspaper said the main objection was that he had not said which assignments were flagged or how they were detected. After a weekend of attention on social media and a class discussion called by the department, it was announced that the allegations of cheating and AI use so far in the semester were dropped and that anyone could re-enrol. The professor said he would keep using his AI detection tool. No source describes what that detection method was, and how many of the accused had used AI is not known.

AI system
Unidentified AI coding tool (suspected)
Occurred
Apr 2026
Reported
21 April 2026
Event location
United States
What the AI did
Relation unknown
Reported harm
Educational Harm
Whose AI use
AI role unknown
Setting
Education
Evidence
AI involvement suspected · Causal attribution supported · 2 sources, 1 underlying account
6 claims: 6 reported. 4 open questions
People reported harmed
At least 200 people

AI system as recorded: No AI system is identified. The professor alleged that students used AI tools on programming assignments; the detection method he relied on is not described in any source read

What Happened

The email. The Journal & Courier reported that the professor 'sent an email to more than 200 students in his CS 240 class last week, alleging he had caught them cheating on assignments with AI tools', with a form asking about AI use on each assignment. The email said that failure to respond would result in an F for the course and an unfavourable letter to the dean of students along with further disciplinary action. Plagiarism Today, relying on that report, dates the email to on or about 15 April and says students were given five days to respond.

The response. The email was sent on the deadline for dropping a class, and more than half of the class unenrolled. A student who asked not to be named told the newspaper that the main complaint was the professor's handling: not saying which assignments were flagged, his detection methods and his timing. Purdue's faculty guide describes a one-on-one meeting as the first step in an academic dishonesty allegation, and the newspaper says the professor seems to have bypassed it.

The reversal. The department head called a class discussion. There it was announced that the allegations of cheating and AI use so far in the semester were dropped and that anyone could re-enrol. According to a student, the professor said he understood the timing could be seen as coercive, although that was not his intention.

What is not established. No source describes the detection method or says how many of the accused used AI; the newspaper reports that many students admitted online to using it. The professor and Purdue did not respond to the newspaper's questions. A Purdue Exponent follow-up of 14 October 2026 could not be read from the research host.

Reported harm

More than 200 students were accused of AI cheating and warned of a failing grade and a dean's letter at the drop deadline, and more than half of the class dropped the course before the allegations were withdrawn (Journal & Courier).

Outcome

Resolved

The allegations of cheating and AI use for the semester so far were dropped and students were allowed to re-enrol in the course (Journal & Courier). The professor said he would continue to use the AI detection tool. Whether any student was later penalised is not reported.

What remains unknown

  • What detection method or tool the professor used and how it decided which students to accuse.
  • How many of the accused students had in fact used AI.
  • How many students re-enrolled and whether any student was later penalised.
  • What the Purdue Exponent follow-up of 14 October 2026 reports; it could not be read.

What the evidence supports

AI involvement: suspected. The harm is the professor's response to suspected AI use: he emailed more than 200 students alleging they had cheated on programming assignments with AI tools and warned that non-response would bring an F and a letter to the dean, and more than half of the class dropped the course. The allegations were later dropped. No source describes the detection method or any AI output about the students, so the relation is recorded as unknown under the consequential-response exemption.

6 claims: 6 reported. What the statuses mean

Reported The professor of Purdue's CS 240 course emailed more than 200 students in the class alleging that he had caught them cheating on assignments with AI tools, with a form on which to admit or deny AI use on each assignment.

Causal attribution. The professor's allegation, as reported by the newspaper; the AI use itself is not established.

  • msn.com(opens in new tab) supports · English
    'sent an email to more than 200 students in his CS 240 class last week, alleging he had caught them cheating on assignments with AI tools'; 'He included a form questioning AI use on each assignment, giving accused students a chance to admit or deny the allegations'
  • plagiarismtoday.com(opens in new tab) supports · English
    'sent an email to more than 200 students accusing them of using AI to cheat on their assignments, as reported by the Journal & Courier'
Reported The email warned that failure to respond would result in an F for the course and an unfavourable letter to the dean of students along with further disciplinary action.

Causal attribution. Quoted from the email by the Journal & Courier.

  • msn.com(opens in new tab) supports · English
    'Failure to respond will result in a grade of'; 'Failure to respond will also result in an unfavorable letter being sent to the dean of students along with further disciplinary action'
Reported The email was sent on the deadline for dropping a class, and more than half of the class unenrolled.

Causal attribution. The newspaper connects the withdrawals to the email and its timing; Plagiarism Today restates the figure as over half of the accused.

Reported A student told the newspaper that the main objection was that the professor had not said which assignments were flagged or how they were detected, and the newspaper reports he seems to have bypassed the one-on-one meeting that Purdue's faculty guide describes as the first step.

Causal attribution. An unnamed student's account and the newspaper's own reading of the faculty guide.

  • msn.com(opens in new tab) supports · English
    'without telling us which ones we used AI on, his detection methods, his timing'; 'seems to have bypassed'
Reported At a class discussion called by the department, it was announced that the allegations of cheating and AI use so far in the semester were dropped and that anyone could re-enrol in the course.

Causal attribution. Reported by the newspaper; Plagiarism Today relies on it.

  • msn.com(opens in new tab) supports · English
    'it was announced that allegations of cheating and AI use thus far in the semester are dropped, and anyone can re-enroll in the course'
  • plagiarismtoday.com(opens in new tab) supports · English
    'The allegations were dropped, and students were allowed to re-enroll in the course'
Reported The professor said he would keep using the AI detection tool, and no source read describes what the detection method was.

Causal attribution. The newspaper's report of the professor's statement; Plagiarism Today adds that the method was new and was applied after most assignments had been graded, without describing it.

Sources

2 sources inspected, from 1 underlying account. Sources that repeat one account do not corroborate each other.

How the sources were read, and where the events happened

Read in full through the MSN syndication of the Lafayette Journal & Courier article. Applies to s1.

Read in full. A commentary that relies on the Journal & Courier and the Purdue Exponent for its facts, so it shares the Journal & Courier's independence group. Applies to s2.

Event countries: United States. Affected-person countries: Unknown. Court countries: Unknown.

The course and the accusation took place at Purdue University in West Lafayette, Indiana, as the Journal & Courier dateline and text state. The students' own countries are not stated.

Reviewed for publication 2026-10-15: Published as a concrete institutional response to suspected AI use: a class-wide accusation of more than 200 students with a threat of failing grades at the drop deadline, after which more than half of the class withdrew before the allegations were dropped. The facts rest on the Journal & Courier's reporting.

People described

More than 200 students in a Purdue University computer-science course who were accused of using AI on their assignments

People reported harmed in this case

At least 200 people

0 AI participants · 200 other people harmed

More than 200 students received the accusation email (Journal & Courier; Plagiarism Today), so 200 is a documented minimum. They are counted under other people harmed because their AI use is alleged and unestablished.

Counted once within this case. The same person may appear in other cases. This count does not establish AI causation.

Tags

#ai-use-accusation#academic-integrity#education#computer-science#allegations-withdrawn#ai-involvement-suspected

Cite this case

Compiled per our published methodology: verification statuses, sourcing standards, and corrections process.

APA

NOPE. (2026). Over half of a Purdue programming class dropped the course after the professor emailed 200-plus students alleging AI cheating; allegations later withdrawn. AI incidents. https://nope.net/incidents/2026-purdue-computer-science-course-mass-ai-cheating-accusation-students-dropped-allegations-withdrawn

BibTeX

@misc{2026_purdue_computer_science_course_mass_ai_cheating_accusation_students_dropped_allegations_withdrawn,
  title = {Over half of a Purdue programming class dropped the course after the professor emailed 200-plus students alleging AI cheating; allegations later withdrawn},
  author = {NOPE},
  year = {2026},
  howpublished = {AI incidents},
  url = {https://nope.net/incidents/2026-purdue-computer-science-course-mass-ai-cheating-accusation-students-dropped-allegations-withdrawn}
}

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