Making Barriers to Learning in MOOCs Visible. A Factor Analytical Approach

IF 0.9 Q3 EDUCATION & EDUCATIONAL RESEARCH Open Praxis Pub Date : 2021-10-20 DOI:10.5944/OPENPRAXIS.13.2.124
M. Henderikx, K. Kreijns, Kate M. Xu, M. Kalz
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引用次数: 2

Abstract

Learners in MOOCs often experience challenges that can be identified as barriers to learning. These barriers may be MOOC- or not MOOC-related. By knowing about potential barriers learners would be better prepared and more likely to handle and overcome them. Therefore, the aim of this study was to advance insight and knowledge about barriers to learning in MOOCs. Assessment and reassessment of the data using exploratory factor analysis provided a good model fit for a 6-factor structure. This was confirmed by a confirmatory factor analysis. Further classification of the factors revealed that barriers experienced by learners were predominantly non-MOOC related. To get insight into the barriers learners experience, it was suggested to convert the identified factor structure into a diagnostic instrument (dashboard) powered by learner self-report. This dashboard then provides information about barriers learners experience and can be valuable for making (re) design decisions and for developing learner supporting tools and interventions.
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让mooc的学习障碍可见。因子分析法
mooc的学习者经常会遇到可以被视为学习障碍的挑战。这些障碍可能与MOOC有关,也可能与MOOC无关。通过了解潜在的障碍,学习者将更好地准备,更有可能处理和克服它们。因此,本研究的目的是促进对mooc学习障碍的认识。利用探索性因子分析对数据进行评估和再评估,为6因子结构提供了良好的模型拟合。验证性因子分析证实了这一点。进一步的因素分类表明,学习者遇到的障碍主要与mooc无关。为了深入了解学习者所经历的障碍,建议将已识别的因素结构转换为由学习者自我报告驱动的诊断工具(仪表板)。然后,该仪表板提供了有关学习者遇到的障碍的信息,对于制定(重新)设计决策以及开发学习者支持工具和干预措施非常有价值。
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来源期刊
Open Praxis
Open Praxis EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.50
自引率
6.20%
发文量
0
审稿时长
13 weeks
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