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Teacher and learner: Supervised and unsupervised learning in communities

Published online by Cambridge University Press:  08 June 2015

Michael G. Shafto
Affiliation:
Cognitive Science Associates, 2850 Easy St., Ann Arbor, MI 48104.
Colleen M. Seifert
Affiliation:
Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1043. piltdown@gmail.com seifert@umich.edu

Abstract

How far can teaching methods go to enhance learning? Optimal methods of teaching have been considered in research on supervised and unsupervised learning. Locally optimal methods are usually hybrids of teaching and self-directed approaches. The costs and benefits of specific methods have been shown to depend on the structure of the learning task, the learners, the teachers, and the environment.

Information

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2015 

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