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 25
... methodology . Introduction The use of an ' Intelligent Advisor ' as an interface between the user and the system ... methodology . Database design methodologies consist , in general , of four phases : Requirements collection and analysis ...
... methodology . Introduction The use of an ' Intelligent Advisor ' as an interface between the user and the system ... methodology . Database design methodologies consist , in general , of four phases : Requirements collection and analysis ...
Page 314
... Methodology and Modularity in ITS design Radboud Winkels1 University of Amsterdam Department of Social Science Informatics , Herengracht 196 , 1016 BS Amsterdam the Netherlands . Wilfred Achthoven Bolesian System Europe BV Steenovenweg ...
... Methodology and Modularity in ITS design Radboud Winkels1 University of Amsterdam Department of Social Science Informatics , Herengracht 196 , 1016 BS Amsterdam the Netherlands . Wilfred Achthoven Bolesian System Europe BV Steenovenweg ...
Page 315
... methodology for building Knowledge Based Systems ( see : Breuker & Wielinga , 1989 ; Wielinga & Breuker , 1986 ) . The methodology contains a life cycle model , various ' languages ' to describe models and various tools and techniques ...
... methodology for building Knowledge Based Systems ( see : Breuker & Wielinga , 1989 ; Wielinga & Breuker , 1986 ) . The methodology contains a life cycle model , various ' languages ' to describe models and various tools and techniques ...
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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