Learning Analytics of Online Instructional Design during COVID-19: Experience from Teaching Data Analytics Course

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI:10.1109/ICADEIS52521.2021.9702058

N. Sharef, Mohammad Deni Akbar

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Abstract

Emergency remote online learning is a natural response by education providers to ensure program sustainability whilst educators and students adapt to this change through time. The instructional design of these courses has also been adapted but limited learning analytics-based studies are available. This paper presents a case study on the instructional design and learning analytics in an online learning course entitled Data Analytics conducted at Telkom University. The course content, activity and assessment structure are discussed as well as the data analytics tools functions provided in the learning management platform used. Additional learning analytics case study is reported which focused on the student’s response and experience. It is found that students had a good experience learning online despite in a course that requires high group collaboration and psychomotor skills. The analytics also identified strong positive correlation between frequency of access to the learning platform with the learner’s performance.

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新冠肺炎期间在线教学设计的学习分析——《数据分析》课程教学体会

紧急远程在线学习是教育提供者的自然反应，以确保课程的可持续性，同时教育者和学生也随着时间的推移适应这种变化。这些课程的教学设计也进行了调整，但基于学习分析的研究有限。本文介绍了一个案例研究的教学设计和学习分析的在线学习课程，题为数据分析在电信大学进行。讨论了课程内容、活动和考核结构，以及所使用的学习管理平台提供的数据分析工具功能。额外的学习分析案例研究报告，重点是学生的反应和经验。研究发现，尽管在线学习课程需要高度的团队合作和精神运动技能，但学生们的在线学习体验很好。分析还发现，访问学习平台的频率与学习者的表现之间存在强烈的正相关关系。

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2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)

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