A multimedia learning theory‐informed perspective on self‐regulated learning

A multimedia learning theory‐informed perspective on self‐regulated learning
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多媒体学习理论——自我调节学习的知情视角

DOI:
10.1002/tl.20544
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发表时间:
2023
影响因子:
--
通讯作者:
Greene, Jeffrey A.
Greene, Jeffrey A.
中科院分区:
--
文献类型:
--
作者:
Kuhlmann, Shelbi L.;Bernacki, Matthew L.;Greene, Jeffrey A.

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基于计算机的学习环境的启示使它们成为在高等教育中传达信息的强大工具。然而,为了最有效地利用这些环境,学生必须善于自我调节他们的学习。这种自我调节是努力的,包括无数的过程,包括定义任务,制定计划,使用和监控高质量学习策略的有效性,以及反思学习过程和结果。因此,高等教育教师和课程设计者应该设计基于计算机的学习环境,以减轻学习和释放自我调节的心理资源。本章描述了多媒体学习认知理论的设计原则如何促进基于计算机的学习环境中的学习,并促进自我调节学习。多媒体,个性化和生成活动原则的例子,展示了多媒体学习的认知理论如何指导设计和促进学生的选择,组织和整合的内容,从而更好地理解和更多的心理资源可用于自我调节学习和更深入的学习。
The affordances of computer‐based learning environments make them powerful tools for conveying information in higher education. However, to most effectively use these environments, students must be adept at self‐regulating their learning. This self‐regulation is effortful, including a myriad of processes, including defining tasks, making plans, using and monitoring the efficacy of high‐quality learning strategies, and reflecting on the learning process and outcomes. Therefore, higher education instructors and course designers should design computer‐based learning environments to ease learning and free up mental resources for self‐regulation. This chapter describes how design principles from the cognitive theory of multimedia learning can facilitate learning in computer‐based learning environments and promote self‐regulated learning. Examples of the multimedia, personalization, and generative activity principles are presented to show how the cognitive theory of multimedia learning can guide design and promote students’ selection, organization, and integration of content, resulting in better understanding and more mental resources available for self‐regulated learning and the deeper learning it can afford.
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