Big Data and Learning Analytics: A Big Potential to Improve E-Learning
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...
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ump-201442018-11-29T03:04:11Z http://umpir.ump.edu.my/id/eprint/20144/ Big Data and Learning Analytics: A Big Potential to Improve E-Learning Khalid Adam, Ismail Hammad Noor Akma, Abu Bakar Fakhreldin, Mohammed Adam Ibrahim Mazlina, Abdul Majid QA76 Computer software 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. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20144/1/Big%20Data%20and%20Learning%20Analytics.pdf 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 https://doi.org/10.1166/asl.2018.13028 doi: 10.1166/asl.2018.13028 |
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QA76 Computer software Khalid Adam, Ismail Hammad Noor Akma, Abu Bakar Fakhreldin, Mohammed Adam Ibrahim Mazlina, Abdul Majid Big Data and Learning Analytics: A Big Potential to Improve E-Learning |
description |
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. |
format |
Article |
author |
Khalid Adam, Ismail Hammad Noor Akma, Abu Bakar Fakhreldin, Mohammed Adam Ibrahim Mazlina, Abdul Majid |
author_facet |
Khalid Adam, Ismail Hammad Noor Akma, Abu Bakar Fakhreldin, Mohammed Adam Ibrahim Mazlina, Abdul Majid |
author_sort |
Khalid Adam, Ismail Hammad |
title |
Big Data and Learning Analytics: A Big Potential to Improve E-Learning |
title_short |
Big Data and Learning Analytics: A Big Potential to Improve E-Learning |
title_full |
Big Data and Learning Analytics: A Big Potential to Improve E-Learning |
title_fullStr |
Big Data and Learning Analytics: A Big Potential to Improve E-Learning |
title_full_unstemmed |
Big Data and Learning Analytics: A Big Potential to Improve E-Learning |
title_sort |
big data and learning analytics: a big potential to improve e-learning |
publisher |
American Scientific Publisher |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/20144/ http://umpir.ump.edu.my/id/eprint/20144/ http://umpir.ump.edu.my/id/eprint/20144/ http://umpir.ump.edu.my/id/eprint/20144/1/Big%20Data%20and%20Learning%20Analytics.pdf |
first_indexed |
2023-09-18T22:28:52Z |
last_indexed |
2023-09-18T22:28:52Z |
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1777416150907355136 |