New Empirical Data Findings for Student Experiences of E-Learning analytics Recommender Systems and their Impact on System Adoption

Hadeel Alharbi and Kamaljeet Sandhu
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Hadeel Alharbi: University of New England, Armidale, Australia
Kamaljeet Sandhu: University of New England, Armidale, Australia

International Journal of Innovation in the Digital Economy (IJIDE), 2019, vol. 10, issue 2, 54-63

Abstract: This article examines Saudi Arabian students' experiences of using an e-learning analytics recommender system during their study and the extent to which their experiences were predictors of their adoption and post-adoption of the system. A sample of 353 students from various universities in Saudi Arabia completed a survey questionnaire for data collection. Results showed that user experience is a significant predictors of student adoption and post-adoption of an e-learning recommender system. Based on these findings, this study concluded that universities must support students to develop their awareness of, and skills in using an e-learning recommender system to support students' long-term acceptance and use of the system.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jide00:v:10:y:2019:i:2:p:54-63

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