Generative AI Methods for Adaptive Assessment and Personalized Feedback in Higher Education - 2026_IDR_DEIB_74

The research program focuses on studying, developing, and evaluating generative AI methods for adaptive assessment in higher education. Activities will focus on generating personalized exercises and exam simulations, assessing students’ responses, and providing targeted feedback, adapting content and difficulty levels to students’ knowledge and learning needs.

Selection process

In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 70 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 10 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 10 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 10 points)

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