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 18
... components is done by using the mouse as a pointing and dragging device . Pop - up - sheets are used to change the attributes of the components of the circuit and the settings of the instruments , softbuttons to start or continue the ...
... components is done by using the mouse as a pointing and dragging device . Pop - up - sheets are used to change the attributes of the components of the circuit and the settings of the instruments , softbuttons to start or continue the ...
Page 86
... components in a model of expertise . Our view is that errors in problem solving indicate that certain of these knowledge components are either weak , malformed , or missing from the student's knowledge model . On the TAPS system ...
... components in a model of expertise . Our view is that errors in problem solving indicate that certain of these knowledge components are either weak , malformed , or missing from the student's knowledge model . On the TAPS system ...
Page 151
... components and the need for sophisticated control . 옷 Student STUDENT INTERFACE STUDENT MODEL Intelligent Tutering System CONTROL PEDAGOGICAL KNOWLEDGE COURSEWARE DOMAIN KNOWLEDGE Figure 1-1 : Control and Supporting Components o ...
... components and the need for sophisticated control . 옷 Student STUDENT INTERFACE STUDENT MODEL Intelligent Tutering System CONTROL PEDAGOGICAL KNOWLEDGE COURSEWARE DOMAIN KNOWLEDGE Figure 1-1 : Control and Supporting Components o ...
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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