Reflective learning with complex problems in a visualization-based learning environment with expert support.

Effective learning through problem solving is difficult to realize as problem solving often involves complex processes that are inaccessible to novices. It is important to make the complex process visible to novices and provide them with necessary support throughout the tasks. This study proposes a...

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Detalles Bibliográficos
Publicado en:Computers in Human Behavior Vol. 87; pp. 406 - 416
Autores principales: Wang, Minhong, Yuan, Bei, Kirschner, Paul A., Kushniruk, Andre W., Peng, Jun
Formato: Artículo
Publicado: Elsevier B.V. Oct2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2018
      vid: 87
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      pub: Elsevier B.V.
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        130792200
        10.1016/j.chb.2018.01.025
      ppf: 406
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        atl: Reflective learning with complex problems in a visualization-based learning environment with expert support.
      aug:
        au:
          Wang, Minhong
          Yuan, Bei
          Kirschner, Paul A.
          Kushniruk, Andre W.
          Peng, Jun
        affil:
          KM&EL Lab, Faculty of Education, The University of Hong Kong, Hong Kong, China
          Zhongshan Teachers' College for Vocational Studies, China
          Welten Institute, Open University of the Netherlands, Netherlands
          University of Oulu, Finland
          School of Health Information Science, University of Victoria, Canada
      su:
        Computer simulation
        Confidence
        Problem solving
        Satisfaction
        School environment
        Students
        Social constructionism
        Social support
        Task performance
        Experimental design
        Health occupations students
        Medical students
        Problem-based learning
        Reflection (Philosophy)
        Thought & thinking
        Pre-tests & post-tests
        Control groups
      sug:
        subj:
          Computer simulation
          Confidence
          Problem solving
          Satisfaction
          School environment
          Students
          Social constructionism
          Social support
          Task performance
          Other Individual and Family Services
          Experimental design
          Health occupations students
          Medical students
          Problem-based learning
          Reflection (Philosophy)
          Thought & thinking
          Pre-tests & post-tests
          Control groups
      keyword:
        Computer-based learning environment
        Deeper learningn
        Expert support
        Reflection
        Visualization
        Computer-based learning environment
        Deeper learningn
        Expert support
        Reflection
        Visualization
      ab: Effective learning through problem solving is difficult to realize as problem solving often involves complex processes that are inaccessible to novices. It is important to make the complex process visible to novices and provide them with necessary support throughout the tasks. This study proposes a computer-based learning environment that allows learners to capture their problem-solving process in a visual format for effective thinking and reflection. Moreover, expert support is incorporated to improve self-reflection by allowing learners to identify the difference between their performance and that of the expert. This study adopted a pretest-posttest control group design. The experimental group used the visualization-based learning environment involving expert support, while the control group used the visualization-based learning environment without expert support. Forty-five senior year medical students completed the study with five diagnostic problem-solving tasks in four weeks. The results showed that the inclusion of expert support made the visualization-based reflective learning environment more effective in improving learners’ problem-solving performance, supporting their construction of knowledge from problem-solving tasks, and improving their confidence and satisfaction with the learning experience.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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