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通过反思性写作教授自我调节学习:一年级医学生在掌握适应性学习模型中的体验。

Teaching Self-Regulated Learning Through Reflective Writing: Experiences of First-Year Medical Students With the Master Adaptive Learner Model.

作者信息

Koh Shawn, Townsend Jonathan

机构信息

Department of Medical Education, California University of Science and Medicine, Colton, USA.

出版信息

Cureus. 2024 Oct 29;16(10):e72664. doi: 10.7759/cureus.72664. eCollection 2024 Oct.

Abstract

BACKGROUND

In recent years, the Master Adaptive Learner (MAL) model has received widespread attention as a self-regulated learning (SRL) model in medical education. Yet, little research has been done on exploring the benefits of explicitly teaching this model to undergraduate medical students.

METHODS

We taught this model in a required social science course to first-year medical students at the California University of Science and Medicine. Education was delivered via three two-hour sessions, each involving one hour of didactic presentation followed by one hour of small group discussion. Students then applied the model through a series of six structured reflection essays. After this intervention, we deployed a survey to understand student responses to using the MAL model.

RESULTS

The majority of respondents indicated that the MAL model increased their self-awareness and intentionality in learning. Students also attested that it increased the depth and breadth of learning about self-identified learning gaps.

CONCLUSION

This study suggests that the MAL is an effective SRL model to promote metacognition and depth of learning in undergraduate medical students.

摘要

背景

近年来,主适应性学习者(MAL)模型作为医学教育中的一种自我调节学习(SRL)模型受到了广泛关注。然而,关于向本科医学生明确教授该模型的益处的研究却很少。

方法

我们在加利福尼亚科学与医学大学的一门必修社会科学课程中向一年级医学生教授了该模型。教学通过三个两小时的课程进行,每个课程包括一小时的理论讲授,随后是一小时的小组讨论。然后,学生通过一系列六篇结构化反思文章应用该模型。在这次干预之后,我们进行了一项调查,以了解学生对使用MAL模型的反应。

结果

大多数受访者表示,MAL模型提高了他们在学习中的自我意识和学习意图。学生们还证明,它增加了对自我确定的学习差距的学习深度和广度。

结论

本研究表明,MAL是一种有效的SRL模型,可促进本科医学生的元认知和学习深度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/11606618/0eb86db2f101/cureus-0016-00000072664-i01.jpg

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