Exploring the Effect of Online Course Design on Students’ Knowledge Transfer and Retention through Learning Analytics

Yasemin Gülbahar, M. Ibrahim, Rebecca Callaway
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Abstract

There is a vast amount of data collected on e-learning platforms that can provide insight and guidance to both learners and educators. However, this data is rarely used for evaluation and understanding the learning process. Hence, to fill this gap in the literature this study explored the effect of online course design on students’ transfer and retention of knowledge through learning analytics. The aim was to reveal study behaviours of participants over a short time while exploring their academic performance. Using a mixed method approach, this research is conducted in two different countries in a limited time. The results showed that the more times students visited the learning module and the longer these visits, the higher the students’ transfer knowledge scores in this module. Most importantly, the only variable found to be a significant predictor of students’ transfer learning outcome was the number of sessions in the module website.
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通过学习分析探讨网络课程设计对学生知识转移和保留的影响
在电子学习平台上收集的大量数据可以为学习者和教育工作者提供见解和指导。然而,这些数据很少用于评估和理解学习过程。因此,为了填补这一文献空白,本研究通过学习分析探讨了在线课程设计对学生知识迁移和保留的影响。目的是揭示参与者在短时间内的学习行为,同时探索他们的学习成绩。本研究采用混合方法,在有限的时间内在两个不同的国家进行。结果表明,学生访问学习模块的次数越多,访问时间越长,学生在该模块的迁移知识得分越高。最重要的是,唯一能显著预测学生迁移学习结果的变量是模块网站上的课程数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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