Promote, prevent, and prosecute: a framework to counteract AI-based cheating in educational assessments

This chapter presents an empirically and theoretically derived framework for counteracting cheating. Research from psychology, criminology, education, and economics indicates that there are individual differences among students that underlie their choice to cheat, or not cheat, on educational assessments. These individual differences mean that no single strategy can counteract cheating. Although educators and educational institutions do not know individual students’ motives for cheating or not cheating, they must recognize that multiple methods of cheating prevention are required because all students are different. Specifically, academic integrity must be promoted through policy, honour codes, and education; cheating must be prevented via assessment security; and detected breaches of academic integrity rules must be enforced (or prosecuted). The chapter focuses on applying this framework to counteracting AI-based cheating but is more broadly applicable to other forms of academic misconduct.