A LEARNING-ENVIRONMENT BASED ON MULTIPLE QUALITATIVE MODELS

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作者
SIME, JA
LEITCH, R
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TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper describes an intelligent learning environment based on multiple models, both quantitative and qualitative, of a complex physical system. A trainee can learn the use of multiple models, in reasoning about the behaviour of the system, through a process of cognitive apprenticeship. The trainee can solve problems or observe the expert demonstrate problem solving using multiple models, switching between them as and when necessary. The dimensions along which these models vary are defined and example training scenarios provided.
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页码:116 / 123
页数:8
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共 20 条
  • [1] CATEGORIZATION AND REPRESENTATION OF PHYSICS PROBLEMS BY EXPERTS AND NOVICES
    CHI, MTH
    FELTOVICH, PJ
    GLASER, R
    [J]. COGNITIVE SCIENCE, 1981, 5 (02) : 121 - 152
  • [2] QUALITATIVE STUDENT MODELS
    CLANCEY, WJ
    [J]. ANNUAL REVIEW OF COMPUTER SCIENCE, 1986, 1 : 381 - 450
  • [3] COLLINS A, 1989, KNOWING LEARNING INS, pCH14
  • [4] COLLINS A, 1983, 5TH P ANN C COGN SOC
  • [5] A QUALITATIVE PHYSICS BASED ON CONFLUENCES
    DEKLEER, J
    BROWN, JS
    [J]. ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) : 7 - 83
  • [6] FORBUS K, 1984, ARTIFICIAL INTELLIGE, V24
  • [7] GREER J, 1989, 11TH P INT JOINT C A, V1, P477
  • [8] JOHNSON, 1984, 5TH P AM ASS ART INT, P162
  • [9] EXPERT AND NOVICE PERFORMANCE IN SOLVING PHYSICS PROBLEMS
    LARKIN, J
    MCDERMOTT, J
    SIMON, DP
    SIMON, HA
    [J]. SCIENCE, 1980, 208 (4450) : 1335 - 1342
  • [10] Moyse R., 1989, Interactive Learning International, V5, P71