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Generative AI for Assessment and Feedback in Higher Education

Funder: European CommissionProject code: 2025-1-DK01-KA220-HED-000364628
Funded under: ERASMUS+ | Partnerships for cooperation and exchanges of practices | Cooperation partnerships in higher education Funder Contribution: 400,000 EUR

Generative AI for Assessment and Feedback in Higher Education

Description

<< Objectives >>The objectives of the HEGenAI project are:1.To synthesize empirical research and institutional insights, define GenAI-based pedagogical redesign scope, and identify policy-compliant GenAI tools for assessment and feedback activities in HE.2.to design, develop, pilot, and evaluate training modules for university pedagogy programs for educators to build capacity on GenAI-based assessment and feedback.3.to develop and apply instruments to measure the impact of training modules for educators.<< Implementation >>Applying design thinking, we shall conduct systematic literature review of empirical studies, empirical participatory mixed-methods study in seven universities (Denmark, Sweden, Germany, Palestine, and Albania), ideation workshops with educators and students, pilot integration of GenAI in STEM courses, evaluation of usability and impact in the learning process, design and develop training modules for educators and students, conduct training, and develop & implement training impact instrument.<< Results >>HEGenAI will deliver (1) peer-reviewed review and empirical papers GenAI tool implementation, good practices, and pitfalls in scenarios of assessment and feedback activities of higher education courses, (2) intervention experience based on two iterations of pilot integration of GenAI tools and evaluation of usability, perceived usefulness, and impact on learning, (3) training modules for educators and students, (4) instruments for training impact assessment and results of evaluation of training.

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