The Role of Big Data in Improving E-Learning Transition

Author:

Moharm Karim,Eltahan Muhammed

Abstract

Abstract Educational organizations are operating in a dynamic competitive environment. Online learning, education, emerging technologies, and the number of learners are growing very fast and produce big data that contain meaningful information to be extracted and processed. The idea of applying the big data in e-learning supports developing and analyzing the students as well as the educational organization’s stakeholders. A big data framework architecture, methods, and tools in the e-learning platform are introduced. The paper studies briefly the opportunities of big data deployment in the educational sector and the value that the students and organizations gain. However, it also highlights the challenges and future research directions as the tool’s selection and value extraction from complex educational data sets.

Publisher

IOP Publishing

Subject

General Medicine

Reference37 articles.

1. Delivering e-learning: a complete strategy for design;Fee,2009

2. Students’ achievement and opinions on the implementation of e-learning for phonetics and phonology lectures at Airlangga University;Kwary;Educ. e Pesqui.,2018

3. Big data for institutional planning, decision support and academic excellence;Bhat,2016

4. Data warehouse with big data technology for higher education;Santoso;Procedía Comput. Sci.,2017

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Role of Big Data in Intelligent Educational Platform: A Functional Architecture;2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE);2023-11-02

2. Instructor-assisted question classification system using machine learning algorithms with N-gram and weighting schemes;Discover Artificial Intelligence;2023-08-08

3. Exploring Technological Success Factors of Big Data in E-Learning Systems;2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT);2023-07-04

4. Decentralized Edge Intelligence for Big Data Analytics-Assisted E-Learning;Advances in Electronic Government, Digital Divide, and Regional Development;2023-05-19

5. Learning Analytics and Big Data: Huge Potential to Improve Online Education;Digital Technologies and Applications;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3