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Curriculum generators: Some design problems

Published: 01 January 1978 Publication History

Abstract

For certain problem- oriented disciplines, generative CAI techniques may facilitate automated curriculum construction. This is especially likely in formal logic since problem- solvers and theorem-provers already in existence can be readily modified to create problems of arbitrary complexity. GPS and the “Wang algorithm” provide cases- in- point. Although curriculum generators promise to be effective instructional delivery systems, making educationally sound use of them awaits the development of computable measures of problem complexity which have psychological reality, which reflect observed item difficulties. This poses a serious dilemma for lesson designers which will tend to be resolved in favor of computable but empirically invalid measures.

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Brown, J. S., and Burton, R. L., "SOPHIE — a pragmatic use of artificial intelligence in CAI," Proceedings of the acm (New York: ACM, 1974), pp. 571-579.
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Brown, J. S., Burton, R. R. and Bell, A. G., SOPHIE: A sophisticated instructional environment for teaching electronic troubleshooting (an example of AI in CAI), BBN Report No. 2790, Bolt Beranek and Newman, Inc. Cambridge, Mass. March 1974.
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Garson, J.W. and P. Mellema, Teaching logic with EMIL" (Notre Dame, Indiana: University of Notre Dame, Department of Philosophy, circa 1977), 50 pp. The portion of this paper which flowcharts a heuristic diagnostic routine destined for a future version of EMIL is an extremely important contribution to research in this field. EMIL itself is already remarkable for its matching routines, accomplishing in a few simple- minded steps what took many hundreds of steps in previous proof- checkers
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cover image ACM Conferences
ACM '78: Proceedings of the 1978 annual conference - Volume 2
January 1978
990 pages
ISBN:0897910001
DOI:10.1145/800178
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Association for Computing Machinery

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Published: 01 January 1978

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Author Tags

  1. Artificial intelligence
  2. Cognition
  3. Computer- assisted instruction
  4. Curriculum development
  5. Heuristic methods
  6. Logic
  7. Problem-solving
  8. Technology and man
  9. Theorem-proving

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