IS IT ALL ABOUT FEELING? RETHINKING PERSONALIZED LEARNING FOR LASTING KNOWLEDGE

Umberto Barbieri, Alfonso Filippone, Luigi Piceci

Abstract


A-MEMO is an ITS module with a multi-agent architecture for the pedagogical-computational analysis of emotions in mnemonic processes. It integrates emotional markers based on prefrontal-parahippocampal neurofunctional correlates (Tallman et al., 2024; Slotnick, 2022) through: (1) sentiment analysis; (2) mnestic personalisation with emotional associations; (3) UDL principles. It overcomes methodological limitations (Twomey & Kroneisen, 2021) by exploiting evidence on cognitive enhancement via emotional mnemonic techniques (Kensinger & Ford, 2020; Wagner et al., 2021).


Keywords


Artificial Intelligence, Universal Design for Learning, Adaptive Learning, Intelligent Tutoring Systems, Mnemonics

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DOI: https://doi.org/10.32043/gsd.v9i1.1475

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