Abstract

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)

Citation

Aube, M. (1997). Toward Computational Models of Motivation: A Much Needed Foundation for Social Sciences and Education. Journal of Artificial Intelligence in Education, 8(1), 43-75. Retrieved March 25, 2023 from https://www.learntechlib.org/p/82397/.

This record was imported from ERIC on April 18, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

• Artificial Intelligence
• Cognitive Processes
• Communication (Thought Transfer)
• Computer Uses in Education
• Cooperation
• Educational Needs
• Educational Theories
• Emotional Response
• Intelligence
• models
• motivation
• Psychological Patterns
• Relevance (Education)
• Social Cognition
• Social Sciences