Caught cheating in class, college students “apologized” using AI—and profs called them out

Caught cheating in class, college students “apologized” using AI—and profs called them out

### The University of Illinois AI Cheating Scandal: A Glimpse Into Higher Education’s Struggles With Artificial Intelligence

The rapid rise of artificial intelligence (AI) tools has brought profound changes to higher education, and not all of them are positive. With AI now able to generate essays, summarize readings, and even write personal reflections, students and instructors are struggling to adapt. A recent incident at the University of Illinois has brought these challenges into sharp focus, encapsulating both the frustrations and dilemmas faced by educators and students alike in what might be called "higher education in the age of AI."

#### The Incident: Cheating in Data Science Discovery

The story centers on an introductory data science course at the University of Illinois, taught by statistics professor Karle Flanagan and computer scientist Wade Fagen-Ulmschneider. The course, known as Data Science Discovery, is massive—with over 1,000 students enrolled across several sections. To encourage attendance and participation, the instructors use a system called the Data Science Clicker. Each class session, students are shown a QR code that leads to a multiple-choice question, personalized for each student and available for only about 90 seconds. The idea is to reward students for being physically present and engaged in the lecture.

However, a few weeks into the semester, the professors noticed a discrepancy: more students were submitting answers than there were students in the lecture hall. This indicated that some students were cheating—finding ways to participate remotely, likely with the help of classmates tipping them off when the questions went live. A review of server logs and IP addresses confirmed the suspicion: the cheating was widespread, involving around 100 students.

#### AI-Generated Apologies

When confronted, the professors took a measured approach. Instead of immediately imposing disciplinary action, they reached out to the suspected students, warning them and inviting explanations. At first, the professors were encouraged by the steady stream of apologies. But this relief quickly turned to dismay when they realized that about 80 percent of these apologies were nearly identical—obviously generated by AI tools.

This led the instructors to address the issue publicly in class, displaying a collage of the apologies with identical phrasing, such as "sincerely apologize." They chose not to punish the students but used the event as a teachable moment, hoping it would serve as a "life lesson." The message was clear: stop cheating, and take responsibility for your own education.

#### Widespread AI Use and Its Consequences

The University of Illinois incident is not unique. On student forums such as the university’s subreddit, both students and teaching assistants (TAs) shared their experiences with AI's pervasive influence. One TA reported that students not only used AI to register false attendance but also to solve homework problems—often in ways that betrayed their use of outside help, since AI-generated answers sometimes relied on methods not taught in class.

Another TA estimated that about three-quarters of all assignments submitted were at least partially AI

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