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Integrating Big Data technologies in a dynamic environment EIAH dedicated to e-learning systems based on cloud infrastructure

Published: 14 November 2017 Publication History

Abstract

Online learning has experienced a lot of change, largely as a result of a number of technological Innovations. Newer e-learning (online learning) authoring tools have been developed, and more sophisticated Learning Management Systems (LMSs) have been deployed. Nowadays, e-learning systems have evolved exponentially. The emergence of new information and communication technologies, also with the development of new models of learning and new pedagogical concepts, which causes many problems such as the gigantic volume of data generated by e-learning platform, the large number of learners and the diversity of educational content. In this context, Big Data is a promising paradigm because of its permanent scalability and opportunities that offer to e-learning professionals in terms of data collection, storage, analysis, processing, optimization and representation of data. This article presents the Big Data concept, its characteristics, and focuses in particular on the integration of it in a dynamic environment dedicated to e-learning systems, and how Big Data impacts the future of e-learning. Moreover, it proposes a new approach for E-learning systems based on big data technologies in a cloud infrastructure. Furthermore this work explores the benefits and advantages of Big Data for e-learning professionals and how Big Data can improve the online learning experience.

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  • (2022)Student-Centered Learning Environment Based on Multimedia Big Data AnalysisMobile Information Systems10.1155/2022/95724132022Online publication date: 1-Jan-2022
  • (2021)A Shared E-Learning Resources Database Using Big Data and Cloud EnvironmentProceedings of the 2021 12th International Conference on E-business, Management and Economics10.1145/3481127.3481215(770-775)Online publication date: 17-Jul-2021
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cover image ACM Other conferences
ICCWCS'17: Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems
November 2017
512 pages
ISBN:9781450353069
DOI:10.1145/3167486
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 November 2017

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Author Tags

  1. Big Data
  2. Cassandra
  3. Cloud computing
  4. E-learning
  5. Hadoop
  6. Learner
  7. Learning Management Systems (LMS)
  8. MapReduce
  9. NoSQL databases
  10. Online learning
  11. Spark
  12. mongoDB

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Cited By

View all
  • (2024)E-Learning-Based Cloud Computing Environment: A Systematic Review, Challenges, and OpportunitiesIEEE Access10.1109/ACCESS.2023.333925012(7329-7355)Online publication date: 2024
  • (2022)Student-Centered Learning Environment Based on Multimedia Big Data AnalysisMobile Information Systems10.1155/2022/95724132022Online publication date: 1-Jan-2022
  • (2021)A Shared E-Learning Resources Database Using Big Data and Cloud EnvironmentProceedings of the 2021 12th International Conference on E-business, Management and Economics10.1145/3481127.3481215(770-775)Online publication date: 17-Jul-2021
  • (2021)E-learning Recommendation System Based on Cloud ComputingWITS 202010.1007/978-981-33-6893-4_9(89-99)Online publication date: 22-Jul-2021

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