Co-Adaptation of Students' Knowledge Domains when Interpreting a Physical Situation in Terms of a New Theory
Autor: | Cauzinille-Marmèche, Evelyne, Collet, Gérard, Cornuéjols, Antoine, Tiberghien, Andrée |
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Přispěvatelé: | Institut National de Recherche Pédagogique (INRP), MNESR, Mathématiques et Informatique Appliquées (MIA-Paris), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Interactions, Corpus, Apprentissages, Représentations (ICAR), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-INRP-Ecole Normale Supérieure Lettres et Sciences Humaines-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-INRP-Ecole Normale Supérieure Lettres et Sciences Humaines (ENS LSH)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-INRP-Ecole Normale Supérieure Lettres et Sciences Humaines (ENS LSH)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 1997 |
Předmět: | |
Zdroj: | 2nd European Conference on Cognitive Science (ECCS-97) 2nd European Conference on Cognitive Science (ECCS-97), Apr 1997, Manchester, United Kingdom |
Popis: | International audience; In the context studied here, learning occurs in response to an interpretative task where the theoretical model is provided in a declarative format to the learners. Consequently, learning foremost implies setting up matches between the knowledge associated with the perception of the world and entities of the new knowledge domain, all being subjected to constraints from both knowledge domains. We have gathered evidence about failed attempts at matches by the subjects, and the "repair strategies" they use to overcome these obstacles, consisting mainly in changes of the knowledge representation primitives, activation of new classes, and creation of new ones. |
Databáze: | OpenAIRE |
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