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Titlebook: Instructional Models in Computer-Based Learning Environments; Sanne Dijkstra,Hein P. M. Krammer,Jeroen J. G. Mer Conference proceedings 19

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樓主: T-Lymphocyte
31#
發(fā)表于 2025-3-26 21:44:51 | 只看該作者
978-3-642-08148-4Springer-Verlag Berlin Heidelberg 1992
32#
發(fā)表于 2025-3-27 04:50:08 | 只看該作者
33#
發(fā)表于 2025-3-27 06:11:44 | 只看該作者
https://doi.org/10.1007/978-3-662-02840-7Ausbildungetechnologie; Intelligente Lernumgebungen; Lehrmodelle; Wissensbasierte Systeme; Wissensrepr?s
34#
發(fā)表于 2025-3-27 11:17:25 | 只看該作者
35#
發(fā)表于 2025-3-27 16:26:30 | 只看該作者
Instructional models in computer-based learning environmentsapid developments in the field. On the surface level, these changes largely pertain to the constitution of the research community, in which more and more cognitive scientists and Artificial Intelligence (AI) specialists are operating, and to the type of learning environments which are developed. The
36#
發(fā)表于 2025-3-27 19:04:01 | 只看該作者
An introduction to instructional transaction theoryertain kind of knowledge or skill. An instructional transaction class is a set of similar instructional transaction shells that have similar interaction requirements and similar knowledge representation requirements. The knowledge, performance, and interactions required for each of several classes o
37#
發(fā)表于 2025-3-28 00:54:45 | 只看該作者
38#
發(fā)表于 2025-3-28 03:31:07 | 只看該作者
The significance of prescriptive decision theory for instructional design expert systems, it is also an explicit function of expert systems which are software products aimed at modeling the reasoning and decision-making of experts by explaining and making available human expert knowledge concerning performance of the particular task of instructional planning. This chapter will report t
39#
發(fā)表于 2025-3-28 07:32:21 | 只看該作者
40#
發(fā)表于 2025-3-28 13:23:22 | 只看該作者
Modeling requirements for intelligent training systemsell as that knowledge needed for correct job performance. When modeling expert knowledge, for the purpose of being a good teacher, an intelligent training system must be prepared to address situations where the trainee’s initial knowledge is extremely situated and concrete by representing problem si
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