Factors affecting the deployment of learning analytics in developing countries: case of Egypt

Mahmoud, Mai, Dafoulas, George ORCID logoORCID: https://orcid.org/0000-0003-2638-8771, Abd ElAziz, Rasha and Saleeb, Noha ORCID logoORCID: https://orcid.org/0000-0002-8509-1508 (2022) Factors affecting the deployment of learning analytics in developing countries: case of Egypt. International Journal of Emerging Technologies in Learning (iJET), 17 (03) . pp. 279-298. ISSN 1863-0383 [Article] (doi:10.3991/ijet.v17i03.24405)

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The higher education institutions in developing countries such as Egypt are challenged with the high enrollment student rates, crowded classes and inability to track the progress of each student individually which increased the demand to find a solution that can redeem those problems. Although the usage of learning analytics is an expanding solution to support different educational challenges from performance tracking to detecting students at risks, learning analytics’ developments concentrated on addressing solutions for developed countries. Accordingly, the discipline still requires a broader and indepth interpretation of its contextual usage in developing countries especially Egypt. A research model has been constructed based on literature and tested for its validity and reliability. A questionnaire has been distributed on 148 university students. The study used smart-PLS to interpret and analyze the collected data. The study revealed that organizational culture, data accessibility, trustworthy, visualization has a positive effect on the awareness, while lack of ability has a negative effect on the awareness. Both infrastructure and awareness have significant positive effect on learning analytics impact. The research indicates high learning analytics awareness and high perceived impact on the Egyptian higher education. Evidence should be provided with the collection of more insights from students, faculty members and decision makers.

Item Type: Article
Sustainable Development Goals:
Research Areas: A. > School of Science and Technology
Item ID: 36496
Notes on copyright: Copyright (c) 2022 Mai Mahmoud, Georgios Dafoulas, Rasha Abd ElAziz, Noha Saleeb
Creative Commons License: This work is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
Useful Links:
Depositing User: Noha Saleeb
Date Deposited: 10 Oct 2022 09:37
Last Modified: 29 Nov 2022 17:35
URI: https://eprints.mdx.ac.uk/id/eprint/36496

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