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 58
... practical system since we do not consider ' The stupid machine couldn't understand the sentence . ' as semantically ill - formed although both adjective- noun and subjec - tverb constraints are relaxed . Noun - Verb Match There are two ...
... practical system since we do not consider ' The stupid machine couldn't understand the sentence . ' as semantically ill - formed although both adjective- noun and subjec - tverb constraints are relaxed . Noun - Verb Match There are two ...
Page 137
... practical activities would probably be limited to microprogramming alone . Because of these limitations an alternative approach to teaching a practical course in computer architecture is sought . Artificial Intelligence and Model ...
... practical activities would probably be limited to microprogramming alone . Because of these limitations an alternative approach to teaching a practical course in computer architecture is sought . Artificial Intelligence and Model ...
Page 138
... practical course in computer architecture model - building . ( iv ) to monitor the use of the system by students , and ( v ) to modify the system in the light of the results of testing . The Modelling Environment The resulting modelling ...
... practical course in computer architecture model - building . ( iv ) to monitor the use of the system by students , and ( v ) to modify the system in the light of the results of testing . The Modelling Environment The resulting modelling ...
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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