Connectionism and Learning

作者: T.R. Shultz

DOI: 10.1016/B978-0-08-044894-7.00466-8

关键词:

摘要: Connectionism is a style of computing that partly mimics the properties and functions brains. Incorporating ideas from range cognitive science disciplines, connectionists build computational models learning other psychological processes, deepening our understanding mechanisms underlying such abilities. After reviewing basics connectionism focusing on key reading arithmetic, broader implications for education are discussed. These include importance providing examples correct responses stretch students’ current abilities, building new top existing knowledge decontextualizing lessons to improve generalization.

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