International Collaborative Design, Development and Evaluation of a MOOC on Data Analytics for Educators

This paper presents the systematic development and evaluation methodology of a Massive Open Online Course (MOOC) on data analytics for educators, created through an innovative international collaboration between Universiti Teknologi Malaysia and Liverpool John Moores University. The project uniquely adapts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model to accommodate cross-cultural, inter-disciplinary teamwork while incorporating the Community of Inquiry framework to enhance online learning effectiveness. Our analysis phase revealed significant gaps in existing learning analytics courses through a comprehensive scoping review of 395 courses across major MOOC platforms. The development process showcases novel approaches to remote collaboration in content creation, including synchronized video production across international facilities and standardized quality control measures. The evaluation framework combines multiple approaches: a newly developed Learning Analytics Literacy Scale (LALS), which synthesizes validated instruments for measuring data analytics competencies, and sophisticated learning analytics techniques to track learner engagement and predict course completion. This research provides a detailed roadmap for international MOOC development while addressing the critical need for data analytics training in education. The paper describes both the completed development phases and planned implementation strategies, offering insights for future cross-cultural educational collaborations.

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Published
2025-04-26
DOI
https://doi.org/10.1109/ic4e65071.2025.11075324
Primary Topic
Online Learning and Analytics
Type
article
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article

International Collaborative Design, Development and Evaluation of a MOOC on Data Analytics for Educators

Nurbiha A. Shukor, Frances Tracy, Peter M. Rothwell, Noor Dayana Abd Halim et al.
Online Learning and Analytics
article

International Collaborative Design, Development and Evaluation of a MOOC on Data Analytics for Educators

Nurbiha A. Shukor, Frances Tracy, Peter M. Rothwell, Noor Dayana Abd Halim, Norah Md Noor, Matt McLain, Aini Marina Ma’rof, Graham Downes
article en

Abstract

This paper presents the systematic development and evaluation methodology of a Massive Open Online Course (MOOC) on data analytics for educators, created through an innovative international collaboration between Universiti Teknologi Malaysia and Liverpool John Moores University. The project uniquely adapts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model to accommodate cross-cultural, inter-disciplinary teamwork while incorporating the Community of Inquiry framework to enhance online learning effectiveness. Our analysis phase revealed significant gaps in existing learning analytics courses through a comprehensive scoping review of 395 courses across major MOOC platforms. The development process showcases novel approaches to remote collaboration in content creation, including synchronized video production across international facilities and standardized quality control measures. The evaluation framework combines multiple approaches: a newly developed Learning Analytics Literacy Scale (LALS), which synthesizes validated instruments for measuring data analytics competencies, and sophisticated learning analytics techniques to track learner engagement and predict course completion. This research provides a detailed roadmap for international MOOC development while addressing the critical need for data analytics training in education. The paper describes both the completed development phases and planned implementation strategies, offering insights for future cross-cultural educational collaborations.

Universiti Putra Malaysia (MY), University of Technology Malaysia (MY), Liverpool John Moores University (GB)
Partnerships for the goals
Openalex Percentile: Top 82%
Online Learning and Analytics
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