Refer to Part 1 of this article for six important considerations when addressing AI-driven cheating. Part 2 looks at how to use the TRUST model as a teaching tool.
AI can be made to cheat less likely by redesigning the assignments. The likelihood of students cheating increases when the focus is on grades rather than on learning (Anderman, 2015), when stress, anxiety, and pressure are increased (Piercey, 2020), when academic integrity, relationship building, and trust is neglected (Lederman, 2020), and if material is not perceived as relevant or valuable by students (Simmons, 2018) and if instruction is poor (Piercey, 2020).
You can redesign assignments in order to address some of these problems. TRUST is a model I developed to help redesign assignments to make students less likely to cheat using AI. It is:
- Real World Applications
- Universal Design for Learning
- Social Knowledge Construction
- The trial and error method
Transparency Students have always questioned the value of the content, assignments,… The value of ,… assignments and content has always been a concern for students.