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Learning Profiles, Behaviors and Outcomes: Investigating International Students' Learning Experience in an English MOOC

机译:学习档案,行为和结果:调查英语MOOC中的国际学生的学习经验

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Learning analytics provided new opportunities to investigate students' online learning experience in a more in-depth and comprehensive way. In this study, learning analytics were utilized to investigate international students' learning experience in an English MOOC in addition to survey data and test results. Using K-means cluster analysis and stepwise linear regression, this study classified international MOOC students into four major categories and identified three types of learning behaviors as significant predictors for MOOC learning performance. The research findings provide several interesting perspectives on international students' online learning behaviors, and can inform the design and evaluation of online instruction for global audiences.
机译:学习分析提供了新的机会,以更深入地综合的方式调查学生的在线学习体验。在这项研究中,除了调查数据和测试结果外,利用学习分析在英语MOOC中调查国际学生的学习经验。本研究使用K-Means集群分析和逐步线性回归,将国际MooC学生分为四大类,并确定了三种类型的学习行为,作为MooC学习表现的重要预测因子。研究结果为国际学生的在线学习行为提供了几个有趣的观点,可以为全球观众的在线教学提供信息和评估。

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