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 50
... function of a device should be understood before its behaviour , and its structure ( and relation to other objects ) before its function . [ Cox et al 88 ] • That the behaviour of components should be understood before these are used in ...
... function of a device should be understood before its behaviour , and its structure ( and relation to other objects ) before its function . [ Cox et al 88 ] • That the behaviour of components should be understood before these are used in ...
Page 231
... functions and using variables . To minimize the load of new material , students are given a full chapter of problems to familiarize them with the data structures and simple LISP functions before introducing function definition . In ...
... functions and using variables . To minimize the load of new material , students are given a full chapter of problems to familiarize them with the data structures and simple LISP functions before introducing function definition . In ...
Page 336
... function Reply . The Plan Analyst locates the goal for Reply which is start.single.reply , and notices that the goal and plan exist in the User Model . It therefore looks for any relevant related plans and discovers the function Reply ...
... function Reply . The Plan Analyst locates the goal for Reply which is start.single.reply , and notices that the goal and plan exist in the User Model . It therefore looks for any relevant related plans and discovers the function Reply ...
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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