Roger Schank's influential book, Dynamic Memory, described how
computers could learn based upon what was known about how people
learn. Since that book's publication in 1982, Dr Schank has turned
his focus from artificial intelligence to human intelligence.
Dynamic Memory Revisited contains the theory of learning presented
in the original book, extending it to provide principles for
teaching and learning. It includes Dr Schank's important theory of
case-based reasoning and assesses the role of stories in human
memory. In addition, it covers his ideas on non-conscious learning,
indexing, and the cognitive structures that underlie learning by
doing. Dynamic Memory Revisited is crucial reading for all who are
concerned with education and school reform. It draws attention to
how effective learning takes place and provides instruction for
developing software that truly helps students learn.
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