Representational-Mapping Strategies Improve Learning From an Online Statistics Textbook.

Using multiple representations is an important part of learning and problem-solving in science, technology, engineering and mathematics fields. For students to acquire flexible knowledge of representations, they must attend to the structural information within each representation and practice making...

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Publicado en:Journal of Experimental Psychology. Applied Vol. 30; no. 2; pp. 293 - 318
Autores principales: Zhang, Icy, Gray, Maureen E., Cheng, Alicia, Son, Ji Y., Stigler, James W.
Formato: Artículo
Publicado: American Psychological Association Jun2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2024
      vid: 30
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      pub: American Psychological Association
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        10.1037/xap0000474
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        atl: Representational-Mapping Strategies Improve Learning From an Online Statistics Textbook.
      aug:
        au:
          Zhang, Icy
          Gray, Maureen E.
          Cheng, Alicia
          Son, Ji Y.
          Stigler, James W.
        affil:
          Department of Psychology, University of California, Los Angeles
          Department of Psychology, Elgin Community College
          Department of Psychology, California State University, Los Angeles
      su:
        Online education
        Problem solving
        Textbooks
        Learning strategies
        College curriculum
        Transfer of training
      sug:
        subj:
          Online education
          Problem solving
          Other printing
          Colleges, Universities, and Professional Schools
          Textbooks
          Learning strategies
          College curriculum
          Transfer of training
      keyword:
        data visualizations
        mapping
        multiple representations
        online learning
        STEM
        data visualizations
        mapping
        multiple representations
        online learning
        STEM
      ab: Using multiple representations is an important part of learning and problem-solving in science, technology, engineering and mathematics fields. For students to acquire flexible knowledge of representations, they must attend to the structural information within each representation and practice making relational connections between representations. Most studies so far have only attempted to help students connect between multiple representations in the lab or short-term classroom interventions, with the intervention largely separated from students' authentic learning. The present study developed a representation-mapping intervention designed to help students interpret, coordinate, and eventually translate across multiple representations. We integrated the intervention into an online textbook being used in a college course, allowing us to study its impact in a real course over an extended period of time. The findings of this study support the efficacy of the representation-mapping intervention for facilitating learning and shed light on how to implement and refine such interventions in authentic learning contexts. Public Significance Statement: The study advances the idea that explicit representation-mapping can facilitate students' learning and transfer of statistics concepts. The findings provide important insights into college students' real learning behaviors and outcomes in an online environment. The method used in this study also guides the implementation of future theory-based interventions in authentic learning contexts.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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