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 302
... goal- window has been updated accordingly to show the current goal of Q & R . In order to achieve this new goal he has called up the plan for conjunction introduction ( & I ) . Figure 6 shows the plan window after the student has ...
... goal- window has been updated accordingly to show the current goal of Q & R . In order to achieve this new goal he has called up the plan for conjunction introduction ( & I ) . Figure 6 shows the plan window after the student has ...
Page 331
... goals through plans that map to sub - goals , or that map directly to the functions defined in the environment . A computational goal may be satisfied by more than one plan , and the " best " plan for a goal will depend on what the user ...
... goals through plans that map to sub - goals , or that map directly to the functions defined in the environment . A computational goal may be satisfied by more than one plan , and the " best " plan for a goal will depend on what the user ...
Page 332
... goal . If the User Model contains the best plan , then the Plan Analyst also produces a relevant related plan , so that the Explainer can opportunistically introduce it . Choosing How to Say it : Responding and Enriching The ...
... goal . If the User Model contains the best plan , then the Plan Analyst also produces a relevant related plan , so that the Explainer can opportunistically introduce it . Choosing How to Say it : Responding and Enriching 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