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2023 - Volume 6 - Number 1

Educational Data Analytics and Fog Computing in Education 4.0

Jackson Machii * ORCID: 0000-0001-8237-7116
The Technical University of Kenya, School of Business and Management Studies, Nairobi, KENYA

Julius Murumba
The Technical University of Kenya, School of Business and Management Studies, Nairobi, KENYA

Elyjoy Micheni
Tom Mboya University, Homabay, KENYA

Open Journal for Information Technology, 2023, 6(1), 47-58 * https://doi.org/10.32591/coas.ojit.0601.04047m
Received: 24 December 2022 ▪ Revised: 28 January 2023 ▪ Accepted: 13 April 2023

LICENCE: Creative Commons Attribution 4.0 International License.

ARTICLE (Full Text - PDF)

ABSTRACT:
Universities are generating massive amounts of educational data. Most universities are now focusing on how to harness that data to optimize and visualize it to provide better and more extended education services. Given this scenario, a literature review was used to conduct this study guided by the following objectives: (1) Assess suitable fog computing and educational data analytics architectures; (2) Examine the opportunities offered by fog computing and educational data analytics; (3) Investigate fog computing and educational data analytics challenges; and (4) Examine disruptions and future directions of these technologies in Education 4.0. The study concludes that institutions must use integrated data analytics techniques and distributed technology systems to make decisions about administration, resource allocation, student retention, performance, and improvement strategies. The study also identified the challenges of using fog computing and educational data analytics and concludes that education 4.0 is a learning style that is aligned with the fourth industrial revolution, requiring transformational learning readiness.

KEY WORDS: education data analytics, learning analytics, fog computing, Education 4.0.

CORRESPONDING AUTHOR:
Jackson Machii, The Technical University of Kenya, School of Business and Management Studies, Nairobi, KENYA.

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