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 9
... produces ( or guides the student to produce ) not just answers , but step - by - step solutions . The methods used and the size of the steps are tailored to the individual user using a computerized " model " of the user . This paper ...
... produces ( or guides the student to produce ) not just answers , but step - by - step solutions . The methods used and the size of the steps are tailored to the individual user using a computerized " model " of the user . This paper ...
Page 11
... produce instead x2 + 9 , after which the operator arithmetic will be automatically applied ( if it is well - known ) to produce x11 on the next line . A substantial fraction of MATHPERT'S operators are designed in this way , to produce ...
... produce instead x2 + 9 , after which the operator arithmetic will be automatically applied ( if it is well - known ) to produce x11 on the next line . A substantial fraction of MATHPERT'S operators are designed in this way , to produce ...
Page 56
... produce a parse for it . If the parser fails to produce any result , constraints will be relaxed in a controlled way in an attempt to produce a parse for the input . Figure 1 summarizes how the constraints are applied at each of the ...
... produce a parse for it . If the parser fails to produce any result , constraints will be relaxed in a controlled way in an attempt to produce a parse for the input . Figure 1 summarizes how the constraints are applied at each of the ...
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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 simulation skills solution specific step structure student model subgoals subjects task teacher teaching troubleshooting tutorial strategy types understanding user model word problem XTRA-TE