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 100
... programming of any sort ( including AI programming ) have not fulfilled their early promise . It is all too easy to attribute this shortcoming to a belief that programming as a domain is too open - ended , or else to a belief that we ...
... programming of any sort ( including AI programming ) have not fulfilled their early promise . It is all too easy to attribute this shortcoming to a belief that programming as a domain is too open - ended , or else to a belief that we ...
Page 323
... programming in a playful way . Playing TRAPS , the novices will gain first experience in using structured programming language constructs and in " putting them together " . In doing so , the learners are supported by an intelligent ...
... programming in a playful way . Playing TRAPS , the novices will gain first experience in using structured programming language constructs and in " putting them together " . In doing so , the learners are supported by an intelligent ...
Page 324
... programming course , which will support the students in learning programming and getting a better understanding of the programming constructs . The game TRAPS With these intents we have developed the learning game TRAPS ( Trainer fuer ...
... programming course , which will support the students in learning programming and getting a better understanding of the programming constructs . The game TRAPS With these intents we have developed the learning game TRAPS ( Trainer fuer ...
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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