Artificial Intelligence and Education: Proceedings of the 4th International Conference on AI and Education, 24-26 May 1989, Amsterdam, Netherlands, Volume 4Dick Bierman, Joost Breuker, Jacobijn Sandberg IOS, 1989 - 339 pages |
From inside the book
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Page 247
... shows results in an " effects " window and allows other interaction through menus The listener window shows the user's work . This window is an interpreter of the language the user is trying to write in . It uses the popular Emacs ...
... shows results in an " effects " window and allows other interaction through menus The listener window shows the user's work . This window is an interpreter of the language the user is trying to write in . It uses the popular Emacs ...
Page 283
... shows the subgoals formation problems for the Logo graphics condition and the problem solving worksheet for the first of these . Figure 3 shows the first subgoals formation problem and corresponding problem solving worksheet for the cut ...
... shows the subgoals formation problems for the Logo graphics condition and the problem solving worksheet for the first of these . Figure 3 shows the first subgoals formation problem and corresponding problem solving worksheet for the cut ...
Page 303
... shows the two pages of heuristics . These are loosely based on an expert system to generate proofs [ Trahearne 1986 ] ... shows a case where the student has successfully instantiated a plan but this plan fails to achieve his current goal ...
... shows the two pages of heuristics . These are loosely based on an expert system to generate proofs [ Trahearne 1986 ] ... shows a case where the student has successfully instantiated a plan but this plan fails to achieve his current goal ...
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Abstract Abstract Interpretation actions algebra algorithm analysis Anderson applied approach architecture Artificial Intelligence behavior Blackboard COACH cognitive Cognitive Science components Computer Science concepts constraints construct correct described diagnosis diagrams dialogue discourse discovery learning discussion level domain knowledge dynamic instructional educational environment equation error evaluation example expert module expert system expertise explanation explicit feedback Figure flag tutor forward chaining function fuzzy goal granularity graphical hierarchy hypothesis Igoals implemented inference input instantiations instructional plan instructional planner Intelligent Tutoring Systems interaction interface interpretation knowledge base knowledge representation language learner lesson LISP programming manipulation mathematical misconceptions monitor node novice objects operators output performance problem solving procedures reasoning recursion represented rules schema selected semantic sequence simulation skills solution specific step structure student model subgoals subjects task teacher teaching troubleshooting tutorial strategy types understanding user model word problem XTRA-TE