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 |
From inside the book
Results 1-3 of 37
Page 51
... initial stereotype classification to the user ( such as ' remembers a little electronics from school ' ) . This value , and the ' levels of difficulty ' assigned to each concept in the model , gives initial assumptions about what the ...
... initial stereotype classification to the user ( such as ' remembers a little electronics from school ' ) . This value , and the ' levels of difficulty ' assigned to each concept in the model , gives initial assumptions about what the ...
Page 161
... initial preferences for selecting the other kinds of instructional plans . These initial preferences can be subsequently overridden as will be seen in the examples . The four examples of Section 3 are implemented by one of two means ...
... initial preferences for selecting the other kinds of instructional plans . These initial preferences can be subsequently overridden as will be seen in the examples . The four examples of Section 3 are implemented by one of two means ...
Page 307
... initial evaluation , a set of constraints and priorities were realised upon which the design of the new shell was ... Initial evaluation The initial evaluation had two parts . The first part was a personal survey of some expert system ...
... initial evaluation , a set of constraints and priorities were realised upon which the design of the new shell was ... Initial evaluation The initial evaluation had two parts . The first part was a personal survey of some expert system ...
Common terms and phrases
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