媒体前因对 MOOC 学习者坚持学习和学习成果的影响

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH
Yung-Ming Cheng
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引用次数: 0

摘要

目的本研究旨在提出一个基于刺激-组织-反应(S-O-R)模型的研究模式,以探讨社交媒体的可负担性和媒体的丰富性作为大规模开放在线课程(MOOCs)激发学习者参与的环境刺激,是否会影响学习者在MOOCs中的学习坚持性,进而影响他们在MOOCs中的学习成果。本研究进一步探讨了人口统计学变量是否能调节学习者在MOOCs中的学习坚持性与其学习结果之间的关系。本研究的样本数据来自于台湾某知名大学推出的MOOCs平台,这些学习者都有参加MOOCs学习的经历,本研究使用结构方程模型对396份可用问卷进行了分析。研究结果本研究证明,学习者在MOOCs中感知到的社交媒体可负担性和媒体丰富性对他们在MOOCs中激发的认知卷入和情感卷入有积极影响,这同时也提高了他们在MOOCs中的学习持久性,进而提升了他们在MOOCs中的学习效果。研究结果支持了所有假设,研究模型分别解释了学习者在 MOOCs 中的学习坚持性和学习成果的 70.5% 和 61.8%。原创性/价值 本研究以S-O-R模型为理论基础,将学习者在MOOCs中的学习结果构建为一系列心理过程,而这一心理过程又受到社交媒体可承受性和媒体丰富性的影响。值得注意的是,虽然S-O-R模型在以往的文献中被广泛使用,但很少有研究使用S-O-R模型来解释MOOCs中学习者学习坚持性和学习结果的媒介前因。因此,本研究丰富了研究内容,有助于了解学习者如何通过使用媒体功能来支持他们在MOOCs中的学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of media antecedents on persistence and learning outcomes of MOOC learners
Purpose The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether social media affordances and media richness as environmental stimuli to learners’ involvement elicited by massive open online courses (MOOCs) can affect their learning persistence in MOOCs and, in turn, their learning outcomes in MOOCs. This study further examines whether demographic variables can moderate the relationship between learners’ learning persistence in MOOCs and their learning outcomes. Design/methodology/approach Sample data for this study were collected from learners who had experience in taking MOOCs provided by the MOOCs platform launched by a well-known university in Taiwan, and 396 usable questionnaires were analyzed using structural equation modeling. Findings This study proved that learners’ perceived social media affordances and media richness in MOOCs positively influenced their cognitive involvement and affective involvement elicited by MOOCs, which concurrently expounded their learning persistence in MOOCs and, in turn, uplifted their learning outcomes in MOOCs. The results support all proposed hypotheses and the research model, respectively, explains 70.5% and 61.8% of the variance in learners’ learning persistence in MOOCs and learning outcomes. Besides, this study showed that learners’ usage experience moderated the relationship between learners’ learning persistence in MOOCs and their learning outcomes. Originality/value This study uses the S-O-R model as a theoretical groundwork to construct learners’ learning outcomes in MOOCs as a series of the psychological process, which is affected by social media affordances and media richness. Noteworthily, while the S-O-R model has been extensively used in previous literature, little research uses the S-O-R model to explain the media antecedents of learners’ learning persistence and learning outcomes in MOOCs. Hence, this study enriches the research for understanding how learners value their learning gains via using media features to support them in MOOCs.
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来源期刊
Interactive Technology and Smart Education
Interactive Technology and Smart Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
12.00
自引率
2.30%
发文量
30
期刊介绍: Interactive Technology and Smart Education (ITSE) is a multi-disciplinary, peer-reviewed journal, which provides a distinct forum to specially promote innovation and participative research approaches. The following terms are defined, as used in the context of this journal: -Interactive Technology refers to all forms of digital technology, as described above, emphasizing innovation and human-/user-centred approaches. -Smart Education "SMART" is used as an acronym that refers to interactive technology that offers a more flexible and tailored approach to meet diverse individual requirements by being “Sensitive, Manageable, Adaptable, Responsive and Timely” to educators’ pedagogical strategies and learners’ educational and social needs’. -Articles are invited that explore innovative use of educational technologies that advance interactive technology in general and its applications in education in particular. The journal aims to bridge gaps in the field by promoting design research, action research, and continuous evaluation as an integral part of the development cycle of usable solutions/systems.
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