Helping Students Develop Evaluative Judgment Through Generative AI Hallucinations and Inaccuracies

Participants will learn strategies to use Generative AI outputs as a pedagogical tool to help students critically evaluate information and enhance their evaluative judgment skills.

Generative AI tools, while impressively confident in their outputs, often produce inaccuracies or “hallucinations,” with accuracy rates as low as 70%. These imperfections present an opportunity to foster critical thinking and evaluative judgment in students. This session will explore how faculty can use Generative AI-generated content to teach students to identify biases, assess credibility, and critically analyze information. With the growing prevalence of Generative AI, developing robust evaluative skills is crucial for navigating and interpreting AI-generated material in both academic and professional contexts.

This session is especially relevant for those engaged in teaching information literacy and critical thinking.

Facilitators:

• Lucas Wright, Senior Educational Consultant, Learning Technology, CTLT
• Judy Chan, Faculty Associate, Faculty Liaison (Land and Food Systems)
• Manuel Dias, Learning Design Consultant, CTLT