Dialogues in support of qualitative reasoning

被引:5
|
作者
Pilkington, R [1 ]
机构
[1] Univ Leeds, Comp Based Learning Unit, Leeds LS2 9JT, W Yorkshire, England
关键词
dialogue analysis; human-computer interaction; qualitative reasoning; simulation-based learning;
D O I
10.1046/j.1365-2729.1998.144067.x
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Do students always interact with computers reflectively on tasks and improve qualitative reasoning? it seems that students often manipulate software without changing existing conceptions or exploring the implications of their conceptions to generate deeper explanations. This undermines the educational value of such interactions - though dialogue with a peer or adult can make the interaction more valuable. However, it is uncertain when and how such dialogues work. If high quality educational interactions with computers are to take place, then it is necessary to understand the situations in which particular dialogue forms are effective and to find ways of modelling these. In this paper a framework for the design of such interactions is proposed based on a dialogue analysis that employs transactional analysis and logical dialogue game theory. The framework is applied to a medical (simulation-based) learning context to illustrate how it may enhance interactions with such systems.
引用
收藏
页码:308 / 320
页数:13
相关论文
共 50 条
  • [41] On the Use and Effect of Graph Decomposition in Qualitative Spatial and Temporal Reasoning
    Sioutis, Michael
    Salhi, Yakoub
    Condotta, Jean-Francois
    30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II, 2015, : 1874 - 1879
  • [42] Efficient modeling of linear circuits to perform qualitative reasoning tasks
    Flores, JJ
    Cerda, J
    AI COMMUNICATIONS, 2000, 13 (02) : 125 - 134
  • [43] REPRESENTING KNOWLEDGE BY NEURAL NETWORKS FOR QUALITATIVE-ANALYSIS AND REASONING
    VAI, MK
    XU, ZM
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1995, 7 (05) : 683 - 690
  • [44] Inference to the best manipulation - A case study of qualitative reasoning in neuropharmacy
    Van Den Bosch A.P.M.
    Foundations of Science, 1999, 4 (4) : 483 - 495
  • [45] A MAJOR DEPRESSION PATIENT EVOLUTION MODEL BASED ON QUALITATIVE REASONING
    Mugica, Francisco
    Bagherpour, Solmaz
    Nebot, Angela
    Serrano-Blanco, Antoni
    Baladon, Luisa
    ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, 2011, 232 : 149 - 158
  • [47] GENERATION METHOD OF EDUCATIONAL-MATERIALS USING QUALITATIVE REASONING
    YOSHIMURA, S
    YAMADA, S
    FUJISAWA, N
    JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, 1992, 29 (07) : 619 - 630
  • [48] Qualitative spatial reasoning using orientation, distance, and path knowledge
    Zimmermann, K
    Freksa, C
    APPLIED INTELLIGENCE, 1996, 6 (01) : 49 - 58
  • [49] A method to reduce ambiguities of qualitative reasoning for conceptual design applications
    D'Amelio, Valentina
    Chmarra, Magdalena K.
    Tomiyama, Tetsuo
    AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 2013, 27 (01): : 19 - 35
  • [50] Qualitative spatial reasoning under uncertainty in geographical information systems
    Loerch, U
    Guesgen, HW
    SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 2169 - 2174