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Titlebook: Intelligent Learning Environments and Knowledge Acquisition in Physics; Andrée Tiberghien,Heinz Mandl Conference proceedings 1992 Springer

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發(fā)表于 2025-3-30 10:10:37 | 只看該作者
Simultaneous Processing of Different Problem Aspects in Expert Problem Solving theories of commonsense knowledge in Artificial Intelligence a rational task analysis of a given physical problem leads to a conceptual model of problem solving. This model is a template for an empirical taks analysis by means of analyzing the verbal protocols of four experts. The study reveals tha
52#
發(fā)表于 2025-3-30 14:00:38 | 只看該作者
Modelis : an Artificial Intelligence System Which Models Thermodynamics Textbook problemshat they learn in the classroom does not match with the terms of the problem. Modelis is an Artificial Intelligence system which deals with this difficulty in the domain of Thermodynamics. It starts from texts in natural language, extracted from textbooks (in French), and builds successive represent
53#
發(fā)表于 2025-3-30 18:23:16 | 只看該作者
Steps Towards the Formalisation of a Psycho-logic of Motionirst how a number of primitive actions, basic schemes and rules evolve and then how these combine in a rigourous manner to form basic prototypes of motion. From a small number of prototypical movements later prototype motions can be developed or elaborated. These prototypes provide a coherent but fl
54#
發(fā)表于 2025-3-30 22:31:23 | 只看該作者
Computerized Analysis of Students’ Ability to Process Information in the Area of Basic Electricitywers. The feedback given was intended to influence the way students solve similar tasks in the second half of the test. Four different test versions were employed, including one version with no feedback. In the analysis, students were grouped according to the ways in which they structure knowledge.
55#
發(fā)表于 2025-3-31 02:45:43 | 只看該作者
Modelling the Learner: Lessons from the Study of Knowledge Reorganization in Astronomy existing conceptual structures and the reinterpretation of entrenched beliefs based on everyday experience. The more information we have about the knowledge acquisition process in a learner model the better chances we have of designing successful instructional sequences.
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