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Titlebook: Learning Issues for Intelligent Tutoring Systems; Heinz Mandl,Alan Lesgold Book 1988 Springer-Verlag New York Inc. 1988 Evaluation.curricu

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書目名稱Learning Issues for Intelligent Tutoring Systems
編輯Heinz Mandl,Alan Lesgold
視頻videohttp://file.papertrans.cn/583/582753/582753.mp4
叢書名稱Cognitive Science
圖書封面Titlebook: Learning Issues for Intelligent Tutoring Systems;  Heinz Mandl,Alan Lesgold Book 1988 Springer-Verlag New York Inc. 1988 Evaluation.curricu
描述.Learning Issues for Intelligent Tutoring Systems. arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems. .Learning Issues for Intelligent Tutoring . .Systems. is an important and useful introduction to this rapidly changing field.
出版日期Book 1988
關(guān)鍵詞Evaluation; curriculum; intelligent tutoring systems; knowledge base; knowledge-based systems; learning; m
版次1
doihttps://doi.org/10.1007/978-1-4684-6350-7
isbn_softcover978-0-387-96616-8
isbn_ebook978-1-4684-6350-7Series ISSN 1431-1887
issn_series 1431-1887
copyrightSpringer-Verlag New York Inc. 1988
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Psychological Evaluation of Path Hypotheses in Cognitive Diagnosis,e kind. We can capture an individual’s performance on the task by observing his or her actions and by listening to what he or she says. We wish to describe the mental processes that generated that performance. The problem of describing the mental processes of a particular person with respect to a pa
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The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions,d questioning an expert and incrementally testing her model on a set of selected problem cases.. Characteristically, the knowledge engineer (KE) is in complete control of this process. Her construction of a problem-solving model is almost completely self-directed; she is an active learner. The KE th
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Enhancing Incremental Learning Processes With Knowledge-Based Systems,ul, our focus can shift to the users and how to make it easier, more productive, and less frustrating for them to cope with complex systems. Empirical investigations show that on the average only a small fraction of the functionality of complex systems is used. Figure 7.1 summarizes data based on ca
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