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 308
... knowledge base , and building , where pupils construct their own knowledge bases . An intermediate use is alteration of an existing knowledge base , such as adding more knowledge or debugging it : this involves both consultation and ...
... knowledge base , and building , where pupils construct their own knowledge bases . An intermediate use is alteration of an existing knowledge base , such as adding more knowledge or debugging it : this involves both consultation and ...
Page 309
... knowledge is given in the form of knowledge templates and appropriate prompts , and the knowledge - checking tool checks the resulting knowledge base for syntax and some semantic errors . Thus the shell provides more building support ...
... knowledge is given in the form of knowledge templates and appropriate prompts , and the knowledge - checking tool checks the resulting knowledge base for syntax and some semantic errors . Thus the shell provides more building support ...
Page 325
... knowledge we have chosen a knowledge representation depending on the " genetic graph " proposed by Goldstein [ Goldstein 82 ] . The rules of our knowledge base can be interpreted as nodes of a graph . The edges of the graph are formed ...
... knowledge we have chosen a knowledge representation depending on the " genetic graph " proposed by Goldstein [ Goldstein 82 ] . The rules of our knowledge base can be interpreted as nodes of a graph . The edges of the graph are formed ...
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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