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 160
... situation , which is changing , is known . Different actions are available in different tutorial situations . For example , the action INTRODUCE - RELEVANT - TOPIC is available only if the student's question addresses a topic that the ...
... situation , which is changing , is known . Different actions are available in different tutorial situations . For example , the action INTRODUCE - RELEVANT - TOPIC is available only if the student's question addresses a topic that the ...
Page 236
... situation . When all of his expectations are confirmed , no learning takes place because none is necessary ... situation and to prepare himself for it and other similar situations in the future . This reformulation process constitutes ...
... situation . When all of his expectations are confirmed , no learning takes place because none is necessary ... situation and to prepare himself for it and other similar situations in the future . This reformulation process constitutes ...
Page 268
... situation . As a first step in solving this problem , it is helpful to represent the qualitative relationships between the various elements of the problem . This set of qualitative relationships ( e.g. the picture is centered inside the ...
... situation . As a first step in solving this problem , it is helpful to represent the qualitative relationships between the various elements of the problem . This set of qualitative relationships ( e.g. the picture is centered inside the ...
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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