A professor at Brown University has sparked controversy after discovering widespread cheating in his economics class, with students using generative AI to achieve high scores. The scandal has raised concerns about the impact of AI on academic integrity and learning. The professor, Roberto Serrano, reported that 22 students who scored perfectly on a take-home midterm failed to take the in-person final, and those who did, scored significantly lower. The incident has prompted a broader discussion about the role of AI in education and its potential to undermine traditional learning methods. Source: arstechnica
Serrano, who teaches a challenging economics course, noticed that the midterm exam results were unusually high, with an average score of 96 out of 100 and 40 students achieving a perfect 100. He suspected that AI tools were being used to generate answers and decided to administer an in-person final to verify the results. The professor shared his findings with media outlets, including El País and Inside Higher Ed, highlighting the discrepancy between the midterm and final exam performance. He argued that the high scores on the take-home exam were not indicative of true understanding, as the answers were overly complex and did not align with typical student responses. Source: arstechnica
Serrano, who became blind at 17 due to retinal dystrophy, has long emphasized the importance of human thought and learning. His personal experience with disability has shaped his academic philosophy, which he views as a set of constraints to be optimized rather than obstacles. He has criticized Brown University's response to the AI cheating scandal, arguing that the institution is not taking the issue seriously enough. Serrano's concerns are echoed in a recent provost-led report on generative AI in education, which found that while many students use AI tools, they also express concerns about its impact on their learning and cognitive abilities. Source: arstechnica
