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).

中文翻译：

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代表性映射策略改进了在线统计教科书的学习。

使用多重表示是科学、技术、工程和数学领域学习和解决问题的重要组成部分。为了让学生获得灵活的表示知识，他们必须注意每个表示中的结构信息，并练习在表示之间建立关系。到目前为止，大多数研究只是试图帮助学生在实验室或短期课堂干预中的多种表现之间建立联系，而干预在很大程度上与学生的真实学习分开。本研究开发了一种表征映射干预，旨在帮助学生解释、协调并最终翻译多种表征。我们将干预整合到大学课程中使用的在线教科书中，使我们能够在很长一段时间内研究其在真实课程中的影响。本研究的结果支持表征映射干预在促进学习方面的功效，并阐明了如何在真实的学习环境中实施和改进此类干预。（PsycInfo 数据库记录 (c) 2023 APA，保留所有权利）。