Shultz, T. R. (2010). Connectionism and learning. In P. Peterson, E. Baker, &
B. McGaw, (Eds.), International
Encyclopedia of Education, 5, 476-484.
Connectionism is a style of computing that partly mimics the properties and functions of brains. Incorporating ideas from computer science, artificial intelligence, mathematics, physics, neuroscience, and psychology, connectionists build working computational models of learning and other psychological processes. A few connectionist projects have modeled educational phenomena such as reading and arithmetic, and these applications are highlighted here. After reviewing the basics of modeling and connectionism and focusing on some models of particular relevance to education, the broader implications of connectionism for education are discussed.
Abstracts, papers, chapters, and other documents are posted on this site as an efficient way to distribute reprints. The respective authors and publishers of these works retain all of the copyrights to this material. Anyone copying, downloading, bookmarking, or printing any of these materials agrees to comply with all of the copyright terms. Other than having an electronic or printed copy for fair personal use, none of these works may be reposted, reprinted, or redistributed without the explicit permission of the relevant copyright holders.
To obtain a PDF reprint of this particular article, write to the author at email@example.com