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Representational-mapping strategies improve learning from an online statistics textbook.
Zhang, Icy Yunyi; Gray, Maureen E; Cheng, Alicia Xiaoxuan; Son, Ji Y; Stigler, James W.
Afiliação
  • Zhang IY; Department of Psychology, University of California, Los Angeles.
  • Gray ME; Department of Psychology, Elgin Community College.
  • Cheng AX; Department of Psychology, University of California, Los Angeles.
  • Son JY; Department of Psychology, California State University, Los Angeles.
  • Stigler JW; Department of Psychology, University of California, Los Angeles.
J Exp Psychol Appl ; 2023 Jun 12.
Article em En | MEDLINE | ID: mdl-37307342
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. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article