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Big Data and Learning Analytics: A Big Potential to Improve E-Learning

Khalid Adam, Ismail Hammad and Noor Akma, Abu Bakar and Fakhreldin, Mohammed Adam Ibrahim and Mazlina, Abdul Majid (2018) Big Data and Learning Analytics: A Big Potential to Improve E-Learning. Advanced Science Letters, 24 (10). pp. 7838-7843. ISSN 1936-6612

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Abstract

The learning management systems (LMS) in education sector is widely used and it evolved nowadays. It led to enormous and several of data from the students' activities using online content. It generates a large amount of wasted and unused data these issues cannot be wasted and unused data these issues cannot be processed and supported by the traditional learning analytics. The sophisticated technology of Big Data and also became a recent trend now is vastly evolved relates to data-driven dicision making. It is known as big data analytics and appropriate to apply fpr e-Learning in higher education institution. This paper reviews and explores the impact of Big Data in e-Learning. Big Data Analytics has been proved as an effective approach for education data mining and learning analytics.

Item Type: Article
Additional Information: JCR® Category: Multidisciplinary Sciences. Quartile: Q2
Uncontrolled Keywords: Big Data; E-Learning; Learning Analytics; Data Mining
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 26 Mar 2018 06:00
Last Modified: 29 Nov 2018 03:04
URI: http://umpir.ump.edu.my/id/eprint/20144
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