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Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 39

Assessing E-Learning Satisfaction in Saudi Higher Education Post-COVID-19: A Conceptual Framework for e-Services Impact Analysis

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DOI: http://dx.doi.org/10.15439/2024F4887

Citation: Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 39, pages 213–218 ()

Full text

Abstract. After the COVID-19 pandemic, e-learning was adopted by different institutions globally to cope with increasing demands for distance learning, especially in higher education. However, assessing student satisfaction remains challenging due to limitations, such as low motivation without face-to-face interaction. This paper presents a conceptual framework for e-Services Impact Analysis (eSIAF) for higher education institutions in Saudi Arabia. Based on a number of technology acceptance theories, this conceptual framework highlights several models adopted to examine different users' satisfaction with e-learning service quality among students, teachers, administrators, and e-learning technologists. This paper is part of ongoing research, which will be followed by data collection from eight higher education institutions. After data collection and further processing, a quantitative method will be used to validate the framework. Based on the findings of the study, different approaches can be adopted to increase the satisfaction level of e-learning in higher educational institutes in Saudi Arabia.

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