Comparing the effects of worked examples and modeling examples on learning.

Example-based learning is an effective instructional strategy for students with low prior knowledge, and is increasingly being used in online learning environments. However, examples can take many different forms and little is known about whether and how form affects learning outcomes. Therefore, th...

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Detalles Bibliográficos
Publicado en:Computers in Human Behavior Vol. 41; pp. 80 - 92
Autores principales: Hoogerheide, Vincent, Loyens, Sofie M.M., van Gog, Tamara
Formato: Artículo
Publicado: Elsevier B.V. Dec2014
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2014
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      pub: Elsevier B.V.
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        10.1016/j.chb.2014.09.013
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        atl: Comparing the effects of worked examples and modeling examples on learning.
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        au:
          Hoogerheide, Vincent
          Loyens, Sofie M.M.
          van Gog, Tamara
        affil: Institute of Psychology, Erasmus University Rotterdam, The Netherlands
      su:
        College students
        Computer assisted instruction
        Philosophy of education
        Problem solving
        Learning strategies
      sug:
        subj:
          College students
          Computer assisted instruction
          Philosophy of education
          Problem solving
          Learning strategies
      keyword:
        Cognitive load theory
        Example-based learning
        Modeling
        Multimedia learning
        Cognitive load theory
        Example-based learning
        Modeling
        Multimedia learning
      ab: Example-based learning is an effective instructional strategy for students with low prior knowledge, and is increasingly being used in online learning environments. However, examples can take many different forms and little is known about whether and how form affects learning outcomes. Therefore, this study investigated whether worked examples and modeling examples with and without a visible model would be equally effective in fostering learning of a problem-solving task. In Experiment 1, secondary education students ( N = 78) learned how to solve a probability calculation problem by watching two videos that, depending on the assigned condition, provided worked examples (written text, pictures of problem states), modeling examples with a visible model (spoken text, a demonstration of the task), or modeling examples without a visible model (spoken text, pictures of problem states). Results showed that all three conditions were equally effective at fostering learning, near transfer, effort reduction, self-efficacy, and perceived competence. Experiment 2 ( N = 134) replicated these results with a younger student population that only studied one example. These findings suggest that the format of examples does not affect learning outcomes for this task; future research should investigate whether this would generalize to other problem-solving tasks.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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