LOM #36: Future forms of assessment in an age of AI – What counts as knowledge and assessment, and what role should technology play?
Editor: Jens Jørgen Hansen, SDU, jjh@sdu.dk
Editor: Inger-Marie Falgren Christensen, SDU, imc@sdu.dk
Editor: Jacob Gorm Davidsen, AAU, jdavidsen@ikp.aau.dk
Guest editor: Magnus Hontvedt, University of South-Eastern Norway (USN), magnus.hontvedt@usn.no
Artificial intelligence fundamentally challenges established approaches to assessment and examination in higher education. In just a few years, generative AI tools have become an integral part of many students’ study practices, raising new questions regarding what we want to assess, how we assess, and why we assess at all.
Many educational institutions have primarily responded by trying to adapt or safeguard existing forms of assessment. At the same time, AI presents an opportunity to rethink the very concept of assessment. If technology has become a natural part of professional practice and knowledge work, then what role should it play in assessment across undergraduate, postgraduate and doctoral education? Should assessment remain separate from teaching? Should we continue to prioritise individual campus-based exams and summative assessment? Or does AI call for new forms of continuous, integrated and authentic assessment?
The Journal Learning and Media (LOM) invites contributions that investigate the role of technology in shaping future assessment practices. We are especially looking for articles that explore pedagogical, didactic, organisational and technological perspectives on assessment in higher education. Technology is already a part of teaching and learning today; how can it be meaningfully integrated in assessment?
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