Assessment and Feedback in the Generative AI Era: Transformative Opportunities, Novel Assessment Strategies and Policies in Higher Education


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.

Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences > Aston Centre for Artifical Intelligence Research and Application
College of Engineering & Physical Sciences > Engineering for Health
College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
Additional Information: This is an accepted manuscript of a paper accepted for presentation at the 2023 IFNTF Symposathon.
Event Title: International Federation of National Teaching Fellows Symposathon 2023
Event Type: Other
Event Dates: 2023-12-04 - 2023-12-05
Last Modified: 15 Mar 2024 08:08
Date Deposited: 21 Nov 2023 14:48
PURE Output Type: Conference contribution
Published Date: 2023-12-04
Published Online Date: 2023-12-04
Accepted Date: 2023-11-01
Authors: Souppez, Jean-Baptiste R. G. (ORCID Profile 0000-0003-0217-5819)
Goswami, Debjani (ORCID Profile 0000-0002-8506-1114)
Yuen, Joe



Version: Accepted Version

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