Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of KnowledgeArtificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretical implications. The text then examines interactive simulations, existing CAI traditions, and learning environments. The manuscript elaborates on knowledge communication, didactics, and diagnosis. Topics include knowledge presentation and communication, pedagogical contexts, target levels of didactic operations, behavioral and epistemic diagnosis, and aspects of diagnostic experience. The publication is a dependable reference for researchers interested in the computational and cognitive approaches to the communication of knowledge. |
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abstract applied articulation artificial intelligence assumptions behavior Brown BUGGY Burton causal chapter Clancey coaching cognitive compiled complex components concept constraints context correct curriculum decisions defined diagnostic dialogue didactic operations domain knowledge environment epistemic errors evaluation example EXCHECK expert expert system explanations explicit Figure functions global goal graph GUIDON HERACLES heuristic hypotheses important inference instance intelligent tutoring systems interaction interface interpretation issues knowledge communication systems knowledge representation language learning LISP tutor MACSYMA mal-rules mental models misconceptions model of expertise module MYCIN NEOMYCIN notion observed overlay pedagogical performance planning presented primitive principles problem-solving procedure process models production rules PROUST qualitative reasoning reconstruction reification relations relevant representation requires rules semantic sequence simulation skill Sleeman Socratic method solution solving SOPHIE specific strategies structure student model task teaching teleological theories of bugs topic understanding VanLehn viewpoints