Effects of Big Data Analytics in Learning Management Systems for Improving Learners’ Academic Success
DOI:
https://doi.org/10.3145/epi.2024.0016Keywords:
Big Data, Blackboard, Learning Management Systems, LMS, Academic Success.Abstract
In education, big data utilization has offered significant opportunities to support students in the era of e-learning platforms. The present research investigated the impact of big data utilization on learning management systems (LMSs) in the context of developing students' academic success. The sample consisted of 120 students of the third level of the Department of Education and Psychology in Najran University, Saudi Arabia. Participants were divided into two equal experimental groups, The first experimental group learned through using reports derived from big data analysis while studying "Research Methods" course via Blackboard; while the second experimental group studied the same course via Blackboard only, without any data analytics intervention. An achievement test, at the end of the course, was administered on both groups to assess the level of academic success. Findings revealed that integration of big data reports as intervention via Blackboard significantly enhanced learner's academic success.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Profesional de la información
This work is licensed under a Creative Commons Attribution 4.0 International License.
Dissemination conditions of the articles once they are published
Authors can freely disseminate their articles on websites, social networks and repositories
However, the following conditions must be respected:
- Only the editorial version should be made public. Please do not publish preprints, postprints or proofs.
- Along with this copy, a specific mention of the publication in which the text has appeared must be included, also adding a clickable link to the URL: http://www.profesionaldelainformacion.com
- Only the final editorial version should be made public. Please do not publish preprints, postprints or proofs.
- Along with that copy, a specific mention of the publication in which the text has appeared must be included, also adding a clickable link to the URL: http://revista.profesionaldelainformacion.com
Profesional de la información journal offers the articles in open access with a Creative Commons BY license.