Abstract
Nowadays, learning management systems (LMS) in the education sector are broadly utilized and became a new trend, they generate a large volume of educational data captured from the students’ activities while online learning process. As a result, sophisticated data analysis techniques are required to manage and analyze the vast amount of datasets to improve the online learning experiences of learners. Big Data provides an opportunity for efficient processing of big learning data to add value to the e-learning platforms. This paper explores the characteristics of big data that are relevant to educational institutions and discusses the reasons for the adoption of big data in online learning. It proposes also an approach for integrating big data in online learning systems; our objective is to describe the full process for analyzing e-learning data using advanced big data technologies to improve the quality of e-learning systems.
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Amane, M., Aissaoui, K., Berrada, M. (2022). Big Data in E-learning: Literature Review and Challenges. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_9
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