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 35
... discussed in this paper , so will be overviewed here . The SCENT advisor distinguishes three conceptual levels of programs : the task level , the strategy level and the language level . The main focus has been on strategy and bug ...
... discussed in this paper , so will be overviewed here . The SCENT advisor distinguishes three conceptual levels of programs : the task level , the strategy level and the language level . The main focus has been on strategy and bug ...
Page 161
... discussed the presentation strategy PRESENT- GRAPHICALLY is used since that assembly is amenable to graphic presentation . When the hoist drive assembly is discussed the BRIEF - OVERVIEW presentation strategy is selected since the ...
... discussed the presentation strategy PRESENT- GRAPHICALLY is used since that assembly is amenable to graphic presentation . When the hoist drive assembly is discussed the BRIEF - OVERVIEW presentation strategy is selected since the ...
Page 164
... discussed in Section 6 . Figure 9-1 organizes the systems just discussed , including the Blackboard Instructional Planner , according to their approaches to control . The usual caveats about such a categorization apply : there is some ...
... discussed in Section 6 . Figure 9-1 organizes the systems just discussed , including the Blackboard Instructional Planner , according to their approaches to control . The usual caveats about such a categorization apply : there is some ...
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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 simulation skills solution specific step structure student model subgoals subjects task teacher teaching troubleshooting tutorial strategy types understanding user model word problem XTRA-TE