Intelligent Tutoring SystemsD. Sleeman, J. S. Brown Academic Press, 1982 - 345 pagine The first volume to appear on this topic and now a classic in the field, "Intelligent Tutoring Systems" provides the reader with descriptions of the major systems implemented before 1981. The introduction seeks to emphasise the principal contributions made in the field, to outline continuing research issues, and to relate these to research activities in artificial intelligence and cognitive science. Subject areas discussed are as varied as arithmetic, algebra, electronics, and medicine, together with some informal gaming environments. |
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Intelligent tutoring systems | 1 |
A Friendly interfaces | 4 |
Special purpose deduction techniques | 7 |
Copyright | |
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AICAI air mass algebra algorithm analogy answer approach ARGUMENT arithmetic Artificial Intelligence assertions assumptions behavior Beranek and Newman Borrow Brown Burton caves circuit coach Cognitive Cognitive Science column complex component concept correct d-rule debugging deduction describe diagnostic dialogue diode discussed domain equations errors evaluation evidence example expert explanation explore extrapolation techniques fault FIRES-RESULT genetic graph goal Goldstein GROUP IS C H GUIDON heuristic Homunculus hypothesis implemented incorrect inference intelligent tutoring systems interaction interface Issues John Seely Brown learning MACSYMA mal-rules methods misconceptions mode module move multiple MYCIN nodes operator particular PEAK possible primitive bugs problem problem-solving procedure production rules propagation rainfall representation result rules sequence simulation skills Sleeman solution solving SOPHIE Spade-0 specific steps strategy structure student model subgoals subskills subtraction task teaching theory troubleshooting tutor underlying voltage Wumpus zero