Souppez, Jean-Baptiste R. G., Goswami, Debjani and Yuen, Joe (2023). Assessment and Feedback in the Generative AI Era: Transformative Opportunities, Novel Assessment Strategies and Policies in Higher Education. IN: IFNTF Symposathon, Augmenting Teaching Excellence: Embracing the future of Education with AI and Emerging Technologies. International Federation of National Teaching Fellows.
Abstract
Technological advances influence and shape education to ensure learners meet the ever-evolving real-world demand. The advent of generative artificial intelligence (GAI) has profoundly and suddenly disrupted higher education. While concerns have been raised about the ethical use of GAI, particularly to ensure academic integrity, artificial intelligence in education (AIEd) offers transformative opportunities for learners, educators, and institutions. Here we show the transformative potential of AIEd in Assessment and Feedback, address academic integrity concerns while offering assessment strategies that empower learners and educators to employ GAI. Further, we offer a review of latest policies, and an overview of upcoming changes to policies inherent to the use of GAI in higher education. These findings provide novel insight into the fast-changing field of AIEd, inform educators about relevant assessment strategies in the generative AI era, and may contribute to the development and enhancement of policies associated with assessment and feedback.