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
... values . Recognition of the role of parameter values in RBT identifies the key issue in decoupling as being the form of communication between the lower and higher levels of domain knowledge , or between task and discussion levels . In ...
... values . Recognition of the role of parameter values in RBT identifies the key issue in decoupling as being the form of communication between the lower and higher levels of domain knowledge , or between task and discussion levels . In ...
Page 255
... values of all abnormal features . The values may be nominal ( e.g. aortic arch : calcification ) , or ordinal ( e.g. left ventricle : size : slightly enlarged ) . The frames are arranged in a hierarchy with default nominal features ...
... values of all abnormal features . The values may be nominal ( e.g. aortic arch : calcification ) , or ordinal ( e.g. left ventricle : size : slightly enlarged ) . The frames are arranged in a hierarchy with default nominal features ...
Page 273
... values or expressions containing known values and the goal variable . 2 ) In the case of the diagram strategy , the tutor recommends labeling the diagram with an expression involving only known values and the goal variable ( no new ...
... values or expressions containing known values and the goal variable . 2 ) In the case of the diagram strategy , the tutor recommends labeling the diagram with an expression involving only known values and the goal variable ( no new ...
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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