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 |
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Page 101
... abstract computational behaviour of student models expressed as production systems . PG first derives the input / output mappings of the student model by running it on abstract specifications of data objects . These abstract input ...
... abstract computational behaviour of student models expressed as production systems . PG first derives the input / output mappings of the student model by running it on abstract specifications of data objects . These abstract input ...
Page 103
... abstract input / output pairs ) . Finding a counter example then reduces to the problem of selecting a non - equivalent abstract input / output pair from each model , and then instantiating the input to form a concrete problem . Two ...
... abstract input / output pairs ) . Finding a counter example then reduces to the problem of selecting a non - equivalent abstract input / output pair from each model , and then instantiating the input to form a concrete problem . Two ...
Page 104
... Abstract instantiations fired on previous cycles are easily identified . Abstract Recency is also simple to compute , because PG keeps an abstract version of working memory . Abstract Specificity is defined in terms of the rules ...
... Abstract instantiations fired on previous cycles are easily identified . Abstract Recency is also simple to compute , because PG keeps an abstract version of working memory . Abstract Specificity is defined in terms of the rules ...
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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