Toward Computational Models of Motivation: A Much Needed Foundation for Social Sciences and Education.

Aube, Michel

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ546221

Record Type: Journal

Publication Date: 1997

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-1043-1020

EISSN: N/A

Available Date: N/A

Toward Computational Models of Motivation: A Much Needed Foundation for Social Sciences and Education.

Aube, Michel

Journal of Artificial Intelligence in Education, v8 n1 p43-75 1997

Computational models of motivation and emotion are relevant to the social sciences, partly because motivation and emotion are essentially social in nature: they involve tending and regulating commitments that bind individuals together. Specifications of such a model and consequences to educational theories are discussed in the context of the design-based approach of artificial intelligence. (151 references) (AEF)

Descriptors: Artificial Intelligence, Cognitive Processes, Communication (Thought Transfer), Computer Uses in Education, Cooperation, Educational Needs, Educational Theories, Emotional Response, Models, Motivation, Psychological Patterns, Relevance (Education), Social Cognition, Social Sciences

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A