Generative AI and the implications for authentic assessment

Le résumé fourni par la source

This chapter aims to provide practical evidence-based guidance in the use of generative artificial intelligence (GenAI) for the design and management of authentic assessment tasks and provide a grounding for institutional policy conversations so that decisions can be influenced in a constructive learner-centric way. Drawing on the foundational principles of assessment and feedback, we critically examine how fairness, validity, and security considerations interplay with GenAI’s affordances and challenges. We explore the potential opportunities for the use of Al in the preparation and management of formative and summative assessments. We set out a case for a shift towards authentic assessment practices that empower learners, not only by equipping them with GenAI skills for learning and future work but also by fostering their ability to contribute meaningfully to society.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.