Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data

Écrit par

Xiaona Xia

Xiaona Xia is a professor and earned her PhD from Qufu Normal University. She is also a member of IEEE Computer Society and China Computer Federation (CCF)

Wanxue Qi

Wanxue Qi is a PhD supervisor of Qufu Normal University

Publication date

2024

Book Review

Learning analytics and predictive analytics are being deployed in many post-secondary institutions, both as recruitment resources and as a basis for ongoing student support and guidance. Practices vary, but the underlying challenge of choosing the right data sets and analysis models is universal, as are some of the key issues: algorithmic bias, data privacy and security, and false positives. The Chinese authors are sensitive to these issues, but suggest that improving student completion and success outweigh the concerns.

Target Audience

Academic Administrators and Policy-Makers

Faculty and Instructors

Link to book

https://www.routledge.com/Early-Warning-Mechanisms-for-Online-Learning-Behaviors…

APA Citation

Xi, X. & Qi, W. (2024). Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data. Routledge.

Sujets

Learning Analytics

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Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data

Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data

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Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data

Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data

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