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 78
... Consider a human analogy : a learner uses a computer package as a tool , under the guidance of a subject - matter teacher who has no detailed knowledge of the tool . A graphic designer , for example , might evaluate the learner's ...
... Consider a human analogy : a learner uses a computer package as a tool , under the guidance of a subject - matter teacher who has no detailed knowledge of the tool . A graphic designer , for example , might evaluate the learner's ...
Page 104
... consider the latter case where : ( ? x ? e / ? y + ? b ) . From the positive pattern we know that ? x is bound to ... consider . The instantiations in the conflict set represent possible solution paths which the model can follow ...
... consider the latter case where : ( ? x ? e / ? y + ? b ) . From the positive pattern we know that ? x is bound to ... consider . The instantiations in the conflict set represent possible solution paths which the model can follow ...
Page 244
... consider the benefits of a genuinely collaborative style of interaction . Finally , we will consider the evaluation of ITSs . Here is a prime example of the malign influence of the present perceived state - of - the - art . The demand ...
... consider the benefits of a genuinely collaborative style of interaction . Finally , we will consider the evaluation of ITSs . Here is a prime example of the malign influence of the present perceived state - of - the - art . The demand ...
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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