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Analysis of Intrinsic Motivation during a Problem-Solving activity
Lola Denet, Axelle Napala, Ginna Kurmen

Analysis of Intrinsic Motivation during a Problem-Solving activity

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

This literature review is part of the work carried out within the AIDE (Artificial Intelligence Devoted to Education) exploratory action. The team at the origin of this work allows researchers from digital sciences (computer science and applied mathematics), cognitive neurosciences and education sciences to join forces within this exploratory action to try to understand, within a specific framework, how learners learn. How do we learn? This is one of the questions that the AIDE exploratory action tries to answer, in a specific paradigm. But what is learning? How can studying the functioning of the brain have an impact on education? What about digital technologies? To what extent does it intervene in the field of neuroscience and is it at the heart of educational sciences? At this stage, contextual and conceptual clarification is necessary. This report proposes some answers from the existing literature.

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Document Information

Document Title Analysis of Intrinsic Motivation during a Problem-Solving activity
Author / Organization Lola Denet, Axelle Napala, Ginna Kurmen
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-100468
Original Source Link Visit Source Page on hal.science »