Salam, Sazilah (2024) Unlocking learning patterns : MOOC analytics and observatory. Penerbit UTeM Press, Durian Tunggal, Melaka. ISBN 9786297658827
![[img]](http://eprints.utem.edu.my/style/images/fileicons/text.png) |
Text
Unlocking learning patterns - MOOC analytics and observatory.pdf Download (1MB) |
Abstract
In an era where online learning is ubiquitous, this book addresses the critical challenge of managing and analyzing scattered MOOC learning data. As MOOCs become integral to higher education, institutions face the complex task of organizing diverse data from platforms like Coursera, Udemy, and edX. This book offers a pioneering solution to this problem. The journey begins with an exploration of key concepts, including MOOCs, web observatories, and existing MOOC platforms. It then delves into the intricacies of Linked Data and Semantic Webs, illustrating their significance in enhancing MOOC analytics. Chapter Three provides a hands-on guide to designing a MOOC Ontology using Protégé, creating a robust data model to facilitate effective data management. Further, the book explains how to merge MOOC Ontology with datasets using OpenRefine and RDF formats, and how to create a comprehensive MOOC repository with GraphDB. The final chapter reflects on the book's contributions and limitations and outlines future research directions. This comprehensive guide not only simplifies the complex world of MOOC analytics but also equips educators and administrators with practical tools to transform raw data into meaningful insights.
| Item Type: | Book |
|---|---|
| Uncontrolled Keywords: | MOOCs (Web-based instruction), Educational technology -- Computer-assisted instruction |
| Subjects: | L Education > L Education (General) L Education > LB Theory and practice of education |
| Divisions: | Faculty of Information and Communication Technology |
| Depositing User: | Norhairol Khalid |
| Date Deposited: | 06 Jul 2026 00:37 |
| Last Modified: | 06 Jul 2026 00:37 |
| URI: | http://eprints.utem.edu.my/id/eprint/30073 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |