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The influence of instructional design on learner control, sense of achievement, and perceived effectiveness in a supersize MOOC course

机译:在超大型MOOC课程中,教学设计对学习者控制,成就感和感知效率的影响

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Responding to the lack of empirical studies on the effects of instructional design components on MOOCs, this study explores which instructional design components (e.g., course content, transactional interaction between student and content, structure/organization, assessment) influence learner control, sense of progress in the achievement of learning goals (sense of progress), and perceived effectiveness in a large-scale MOOC course called "Learning How to Learn" hosted in Coursera, a MOOC learning platform. Using an online survey distributed to learners who registered for the current Coursera English-language version of the course, we collected 1364 responses. Three separate hierarchical regression analyses revealed that all course design factors, transactional interaction between student and content (beta=.111, p0.01; beta=.117, p.01), structure (beta=.432, p0.001; beta=.281, p.001), and assessment (beta=.108, p0.01; beta=.102, p.05) were significant predictors of learner control and sense of progress. For perceived effectiveness, only transactional interaction (beta=.073, p0.05) and structure (beta=.416, p0.001) were significant while assessment was not statistically significant (beta=.030, p=.373). These findings provided empirical evidence that instructional components are critical predictors of student learning in MOOCs, which have been conceptualized as important factors in prior studies. Future research should focus on identifying effective and efficient ways to facilitate assessments as part of the learning process while accommodating personalized learning needs. Interpretations of the findings, discussions, and limitations are also addressed in this paper.
机译:针对缺乏关于教学设计要素对MOOC的影响的实证研究,本研究探讨了哪些教学设计要素(例如,课程内容,学生与内容之间的交易互动,结构/组织,评估)影响学习者的控制力,进步感学习目标的实现(进步的感觉),以及在MOOC学习平台Coursera举办的大规模MOOC课程“学习如何学习”中所获得的效果。使用分发给注册了当前Coursera英语版本课程的学习者的在线调查,我们收集了1364份回答。三个单独的层次回归分析显示,所有课程设计因素,学生与内容之间的交易交互(beta = .111,p <0.01; beta = .117,p <.01),结构(beta = .432,p <0.001; beta = .281,p <.001)和评估(beta = .108,p <0.01; beta = .102,p <.05)是学习者控制和进步感的重要预测指标。对于感知到的有效性,只有交易互动(beta = .073,p <0.05)和结构(beta = .416,p <0.001)是显着的,而评估没有统计学意义(beta = .030,p = .373)。这些发现提供了经验证据,说明教学内容是MOOC中学生学习的关键预测因子,这些已被概念化为先前研究中的重要因素。未来的研究应侧重于确定有效和高效的方式,以促进评估作为学习过程的一部分,同时适应个性化的学习需求。本文还讨论了对发现,讨论和局限性的解释。

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