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
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.
引用
收藏
页码:465 / 489
页数:25
相关论文
共 50 条
  • [1] A comparison of three learning strategies in intelligent tutoring systems
    Frasson, C
    Aimeur, E
    [J]. JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 1996, 14 (04) : 371 - 383
  • [2] A cooperative authoring system for intelligent tutoring systems
    Harous, S
    Djoudi, M
    [J]. IC'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTERNET COMPUTING, VOLS 1 AND 2, 2003, : 723 - 729
  • [3] Developmental Learning for Intelligent Tutoring Systems
    Clement, Benjamin
    Roy, Didier
    Oudeyer, Pierre-Yves
    Lopes, Manuel
    [J]. FOUTH JOINT IEEE INTERNATIONAL CONFERENCES ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (IEEE ICDL-EPIROB 2014), 2014, : 426 - 433
  • [4] Intelligent Tutoring Systems for Language Learning
    Slavuj, V.
    Kovacic, B.
    Jugo, I.
    [J]. 2015 8TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2015, : 814 - 819
  • [5] CAMITS: a cooperative agents model for intelligent tutoring systems
    Imbert, RJ
    [J]. ECAI 1998: 13TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1998, : 321 - 322
  • [6] IMPLEMENTING MULTIPLE TUTORING STRATEGIES IN AN INTELLIGENT TUTORING SYSTEM FOR MUSIC LEARNING
    ANGELIDES, MC
    TONG, AKY
    [J]. JOURNAL OF INFORMATION TECHNOLOGY, 1995, 10 (01) : 52 - 62
  • [7] Intelligent diagnosing and learning agents for intelligent tutoring systems
    Huang, MJ
    [J]. JOURNAL OF COMPUTER INFORMATION SYSTEMS, 1999, 40 (01) : 45 - 50
  • [8] Integrating affective learning into intelligent tutoring systems
    Samantha Jiménez
    Reyes Juárez-Ramírez
    Víctor H. Castillo
    Alan Ramírez-Noriega
    [J]. Universal Access in the Information Society, 2018, 17 : 679 - 692
  • [9] Integrating affective learning into intelligent tutoring systems
    Jimenez, Samantha
    Juarez-Ramirez, Reyes
    Castillo, Victor H.
    Ramirez-Noriega, Alan
    [J]. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2018, 17 (04) : 679 - 692
  • [10] Considerations for Immersive Learning in Intelligent Tutoring Systems
    Sinatra, Anne M.
    [J]. FOUNDATIONS OF AUGMENTED COGNITION: NEUROERGONOMICS AND OPERATIONAL NEUROSCIENCE, PT II, 2016, 9744 : 76 - 84