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 125
... interface into the internal predicate calculus form shown in Example 4. ( If the system poses the problem to the ... Interface operators that encourage the student to express all his intermediate steps . This facility is necessary since ...
... interface into the internal predicate calculus form shown in Example 4. ( If the system poses the problem to the ... Interface operators that encourage the student to express all his intermediate steps . This facility is necessary since ...
Page 277
... interface knowledge , procedural knowledge and declarative knowledge . Interface knowledge At the lowest level is the representation of the interface with which the user is operating . This could be achieved by providing a version of ...
... interface knowledge , procedural knowledge and declarative knowledge . Interface knowledge At the lowest level is the representation of the interface with which the user is operating . This could be achieved by providing a version of ...
Page 319
... interface between the Student Expert and the Coaching and Communication Expert is the Local Need : a formal ... Interface or Presentation Expert . The interface handles the input and output of the system , and provides continues ...
... interface between the Student Expert and the Coaching and Communication Expert is the Local Need : a formal ... Interface or Presentation Expert . The interface handles the input and output of the system , and provides continues ...
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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