Obstacles to Applying the E-Learning Management System (Blackboard) Among Saudi University Students (In the College of Applied Sciences and the College of Sciences and Human Studies)

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Abstract

The study aimed to identify the Obstacles to the implementation of applying the e-learning management system (Blackboard) among Saudi university students. To achieve the objectives of the study, the researcher adopted the descriptive approach. The study sample which was chosen randomly consisted of (250) female students from the College of Applied Sciences and the College of Sciences and Humanities at Imam Abdul Rahman bin Faisal University IAU. The researcher built the study tool “questionnaire” which covers four areas: Administrative barriers, technological barriers, financial (physical) barriers, and social barriers. The data was processed by the statistical method. The findings indicated that the areas of the barriers which face the implementation of the blackboard system among female students at the College of Applied Sciences and the College of Sciences and Humanities at IAU were as follows: Social barriers which ranked first and with a (high degree) followed by financial barriers (moderate degree), administrative barriers (moderate degree) and the technical barriers (low degree) and with the mean 2.60, 2.20, 2.13 and 1.37 respectively. The study recommended promoting the technical aspect in the university through using the blackboard system and providing specialists and technicians with suitable training regarding the use of this system and holding educational sessions for students and the College of Applied Sciences and the College of Sciences and Humanities members to enhance the concept of e-learning.

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Darawsheh, S. R., Alshurideh, M., Al-Shaar, A. S., Barsom, R. M. M., Elsayed, A. M., & Ghanem, R. A. A. A. (2023). Obstacles to Applying the E-Learning Management System (Blackboard) Among Saudi University Students (In the College of Applied Sciences and the College of Sciences and Human Studies). In Studies in Computational Intelligence (Vol. 1056, pp. 389–414). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-12382-5_21

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