Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC

René F. Kizilcec, M. Pérez-Sanagustín, Jorge J. Maldonado
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引用次数: 121

Abstract

Many committed learners struggle to achieve their goal of completing a Massive Open Online Course (MOOC). This work investigates self-regulated learning (SRL) in MOOCs and tests if encouraging the use of SRL strategies can improve course performance. We asked a group of 17 highly successful learners about their own strategies for how to succeed in a MOOC. Their responses were coded based on a SRL framework and synthesized into seven recommendations. In a randomized experiment, we evaluated the effect of providing those recommendations to learners in the same course (N = 653). Although most learners rated the study tips as very helpful, the intervention did not improve course persistence or achievement. Results suggest that a single SRL prompt at the beginning of the course provides insufficient support. Instead, embedding technological aids that adaptively support SRL throughout the course could better support learners in MOOCs.
推荐自我调节的学习策略并不能提高MOOC的学习成绩
许多坚定的学习者努力实现完成大规模开放在线课程(MOOC)的目标。本研究调查了mooc中的自我调节学习(SRL),并测试了鼓励使用SRL策略是否可以提高课程表现。我们采访了17位非常成功的学习者,询问他们如何在MOOC上取得成功。他们的回答是基于SRL框架编码的,并综合成7条建议。在一项随机实验中,我们评估了在同一课程中向学习者提供这些建议的效果(N = 653)。尽管大多数学习者认为学习技巧非常有帮助,但干预并没有提高课程坚持度或成绩。结果表明,在课程开始时,单一的SRL提示不能提供足够的支持。相反,在整个课程中嵌入自适应支持SRL的技术辅助可以更好地支持mooc中的学习者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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