首页> 外文期刊>International Review of Research in Open and Distributed Learning >The Influence of Successful MOOC Learners’ Self-Regulated Learning Strategies, Self-Efficacy, and Task Value on Their Perceived Effectiveness of a Massive Open Online Course
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The Influence of Successful MOOC Learners’ Self-Regulated Learning Strategies, Self-Efficacy, and Task Value on Their Perceived Effectiveness of a Massive Open Online Course

机译:成功的MooC学习者自我监管的学习策略,自我效能和任务价值对巨大开放式在线课程的感知效果的影响

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High dropout rates have been an unsolved issue in massive open online courses (MOOCs). As perceived effectiveness predicts learner retention in MOOCs, instructional design factors that affect it have been increasingly examined. However, self-regulated learning, self-efficacy, and task value have been underestimated from the perspective of instructors even though they are important instructional design considerations for MOOCs. This study investigated the influence of self-regulated learning strategies, self-efficacy, and task value on perceived effectiveness of successful MOOC learners. Three hundred fifty-three learners who successfully completed the Mountain 101 MOOC participated in this study by completing a survey through e-mail. The results of stepwise multiple regression analysis showed that perceived effectiveness was significantly predicted by both self-regulated learning strategies and task value. In addition, the results of another stepwise multiple regression analysis showed that meta-cognitive activities after learning, environmental structuring, and time management significantly predicted perceived effectiveness.
机译:大规模开放在线课程(MOOCS)中,高辍学率是一个未解决的问题。由于感知有效性预测了MOOC的学习者保留,影响其越来越多地检查的教学设计因素。然而,即使他们是MOOCS的重要教学设计考虑,也从教师的角度低估了自我监管的学习,自我效能和任务价值。本研究调查了自我监管的学习策略,自我效能和任务价值对成功MooC学习者的感知效力的影响。通过电子邮件完成调查,三百五十三名学习者成功完成山区101 MooC参加了这项研究。逐步多元回归分析的结果表明,通过自我监管的学习策略和任务价值显着预测了感知有效性。此外,另一个逐步多元回归分析的结果表明,学习后的元认知活动,环境结构和时间管理显着预测了感知的有效性。

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