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.
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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。
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