Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of KnowledgeArtificial Intelligence and Tutoring Systems. |
Contents
introducing the field | 1 |
Summary and conclusion | 11 |
Basic issues | 13 |
Copyright | |
28 other sections not shown
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Common terms and phrases
actions active actual addition allows applied approach articulation assumptions attempt behavior Brown bugs called causal chapter cognitive communication complex components concepts considered construction context correct decisions defined described diagnostic dialogue didactic difficult discussed domain educational environment errors example expert expertise explanations explicit fact Figure functional give given goal human hypotheses important individual inference instance instructional intelligent interaction interesting interface interpretation involved issues knowledge knowledge communication language learning limited mental models methods misconceptions module nature Note notion observed operations organization pedagogical performance planning possible presented principles problem procedure produce qualitative questions reasoning relations relevant representation represented requires rules selection semantic sequence simple simulation skills solution specific steps strategies structure student model task teaching theory topic tutor tutoring systems understanding various viewpoints