Intelligent Tutoring SystemsD. Sleeman, J. S. Brown |
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Page 142
... METHODS The planning methods in MUSER are " mental operations " that add implementational detail to evolving plans . Each method has associated with it sets of input and output objects and a procedural definition . Each methods ...
... METHODS The planning methods in MUSER are " mental operations " that add implementational detail to evolving plans . Each method has associated with it sets of input and output objects and a procedural definition . Each methods ...
Page 149
... methods to include buggy methods as well as correct ones , with one buggy method per misconception . Such buggy methods could be constructed by copying the appropriate correct methods and modifying their Fetch calls so that they return ...
... methods to include buggy methods as well as correct ones , with one buggy method per misconception . Such buggy methods could be constructed by copying the appropriate correct methods and modifying their Fetch calls so that they return ...
Page 159
... methods for satisfying those goals . For each goal there is a correct method of achieving that goal and , optionally , alternative correct methods and alternative incorrect or " buggy " methods . Methods are written in a stylized subset ...
... methods for satisfying those goals . For each goal there is a correct method of achieving that goal and , optionally , alternative correct methods and alternative incorrect or " buggy " methods . Methods are written in a stylized subset ...
Contents
Intelligent tutoring systems | 1 |
A Friendly interfaces | 4 |
Special purpose deduction techniques | 7 |
Copyright | |
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actions algebra alternative answer applied approach ARGUMENT assertions assumptions behavior belief Borrow Brown bugs Burton causes caves circuit coach column complete component considered consistent construct contains correct deduction described determine developed diagnostic dialogue discussed domain environment equality equations errors evaluation evidence example execution expert explanation expression fact fault functional genetic give given goal graph GROUP hypothesis implemented important incorrect Intelligence interaction Issues knowledge learning means measurements methods misconceptions mode module move nature observed operator particular PEAK performance possible present probabilities problem problem solving procedure produce propagation question reasoning represent representation requires responses result rules selected simple single situation skill solution solving SOPHIE specific steps strategy structure student suggest task teaching techniques theory tutor underlying understanding voltage