Rethinking Assessment in Higher Education: Inclusive, Feedback-Rich, and AI-Supported Practices

This faculty development course supports higher education staff in rethinking assessment as an inclusive, learning-oriented, and feedback-rich pedagogical practice. It moves beyond assessment as measurement, foregrounding assessment as learning, participatory design, and student agency, while addressing the pedagogical and ethical implications of AI-supported assessment. Drawing on research-informed practices and case studies from across the INGENIUM European University Alliance, the course develops participants’ assessment literacy and capacity to design transparent, student-centred, and multimodal assessment practices. Particular emphasis is placed on co-creation of criteria and rubrics, sustainable feedback and feed-forward systems, and the responsible integration of generative AI in assessment. A central component of the course is practice-based professional learning: participants redesign an assessment element in their own teaching context, implement it, and document the process through a small-scale action research project. Reflective judgment, peer-coaching, and iterative design are embedded throughout.

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