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
... interpretation , with demonstrations on the piano . The learner would then be receiving discussion level guidance ... interpreted . The learner might be offered advice , at the task level on production , and at the discussion level on ...
... interpretation , with demonstrations on the piano . The learner would then be receiving discussion level guidance ... interpreted . The learner might be offered advice , at the task level on production , and at the discussion level on ...
Page 253
... interpretation rapidly ( typically studying an image for 20-30 seconds before making an interpretation ) and without intermediate results being available to short term memory in verbal form . Normal methods of knowledge elicitation ...
... interpretation rapidly ( typically studying an image for 20-30 seconds before making an interpretation ) and without intermediate results being available to short term memory in verbal form . Normal methods of knowledge elicitation ...
Page 315
... interpretation models which support a top - down analysis of domain expertise ( Breuker et al . , 1987 ) . An interpretation model can be viewed as an ' epistemologic ' decomposition of typical or : generic tasks . Generic tasks are for ...
... interpretation models which support a top - down analysis of domain expertise ( Breuker et al . , 1987 ) . An interpretation model can be viewed as an ' epistemologic ' decomposition of typical or : generic tasks . Generic tasks are for ...
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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