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

被引:82
作者
Kizilcec, Rene F. [1 ]
Perez-Sanagustin, Mar [2 ]
Maldonado, Jorge J. [2 ,3 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Pontificia Univ Catolica Chile, Santiago, Chile
[3] Univ Cuenca, Cuenca, Ecuador
来源
PROCEEDINGS OF THE THIRD (2016) ACM CONFERENCE ON LEARNING @ SCALE (L@S 2016) | 2016年
关键词
Massive Open Online Course; Self-Regulated Learning;
D O I
10.1145/2876034.2893378
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 17 highly successful learners about their 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 the 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.
引用
收藏
页码:101 / 104
页数:4
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