Cooperative learning strategies for intelligent tutoring systems

被引:15
|
作者
Aïmeur, E [1 ]
Frasson, C [1 ]
Dufort, H [1 ]
机构
[1] Univ Montreal, Dept Informat & Rech Operat, Montreal, PQ H3C 3J7, Canada
关键词
Artificial intelligence - Curricula - Intelligent agents - Knowledge based systems - Students;
D O I
10.1080/088395100403388
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Intelligent tutoring systems (ITS) are evolving towards a more cooperative relationship between the system and the student. More and more, learning is considered as a constructive process rather than a simple transfer of knowledge. This trend has brought to light new cooperative tutoring strategies. One of these tutoring strategies, the learning companion, designed to overcome some of the limitations of the classical tutoring model, involves a student and two simulated participants: a tutor and another student. Move recently, a new strategy, learning by disturbing, has been proposed. In this strategy, the simulated student is a troublemaker whose role is to deliberately disturb the human student. This article describes the learning by disturbing strategy by contrasting it with the learning companion strategy. In addition, links are drawn between this new strategy and the psychology of learning, in particular the cognitive dissonance theory. An indicator has been developed that measures discord between the ideas, helping to pinpoint the concepts that ave most likely to be misunderstood by the learner. Doing so allows one to plan more efficiently the interventions of the troublemaker.
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页码:465 / 489
页数:25
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