Online cheating charges upend Dartmouth Medical School

Sirey Zhang, a first-year student at Dartmouth’s Geisel School of Medicine, was on spring break in March when he received an email from administrators accusing him of cheating.

Dartmouth had reviewed Zhang’s online activity on Canvas, its learning management system, during three remote exams, the email said. The data indicated that he had looked up course material related to one question during each test, honor code violations that could lead to expulsion, the email said.

Zhang, 22, said he had not cheated. But when the school’s student affairs office suggested he would have a better outcome if he expressed remorse and pleaded guilty, he felt he had little choice but to agree. Now he faces suspension and a misconduct mark on his academic record that could derail his dream of becoming a pediatrician.

“What has happened to me in the last month, despite not cheating, has resulted in one of the most terrifying, isolating experiences of my life,” said Zhang, who has filed an appeal.

He is one of 17 medical students whom Dartmouth recently accused of cheating on remote tests while in-person exams were shut down because of the coronavirus. The allegations have prompted an on-campus protest, letters of concern to school administrators from more than two dozen faculty members and complaints of unfair treatment from the student government, turning the pastoral Ivy League campus into a national battleground over escalating school surveillance during the pandemic.

At the heart of the accusations is Dartmouth’s use of the Canvas system to retroactively track student activity during remote exams without their knowledge. In the process, the medical school may have overstepped by using certain online activity data to try to pinpoint cheating, leading to some erroneous accusations, according to independent technology experts, a review of the software code and school documents obtained by The New York Times. Dartmouth’s drive to root out cheating provides a sobering case study of how the coronavirus has accelerated colleges’ reliance on technology, normalizing student tracking in ways that are likely to endure after the pandemic.