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The Acceptance of E-learning Recommender System for Saudi Universities: Framework and Hypotheses |
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Editor(s): Shadi Aljawarneh and Bassam Al-Shargabi |
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Association for Computing Machinery (ACM) |
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New York, United States of America |
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| Abstract |
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In this paper, a framework is presented to explore the factors of the e-learning recommender system acceptance for Saudi universities. This will assist to investigate the students/instructors experience according to the e-learning service quality. Such framework that is based on the Technology Acceptance Model (TAM), describes the factors of online learning acceptance should be considered in the e-learning recommender system because it is viewed as a determinant of student/instructor/university satisfaction. |
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| Citation |
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Proceedings of the The International Conference on Engineering & MIS 2015, p. 1-6 |
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