E-learning 3.0 - an intelligent learning system to enhance students' engagement
[Abstract] | |
Type | Article |
Author | Alammari, Abdullah Mohammed. Faculty of Education, Curriculums and Teaching Department, Umm Al_Qura University, Saudi Arabia |
Pages | pp. 402-424 |
Host Item Entry |
Umm Al-Qura University Journal of Education and Psychology Sciences. Vol. 13, no. 1, March 2021
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Electronic Location |
Full text (PDF)
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Descriptors | Electronic learning - Learning activities - Learning strategies - Educational technology - Student motivation - Distance education |
Language of document | English |
Country | Saudi Arabia |
Web 3.0 is transforming e-Learning systems using artificial intelligence and machine learning approaches. Such as e-learning 3.0 tend to focus on collaborative intelligent agents to facilitate human learning greatly. This study validates e-learning 3.0 framework in Saudi context. The survey was conducted to empirically test the critical success factors of e-learning 3.0 framework. The findings show that technology, content and stakeholders’ collaboration significantly and positively influence students’ motivation to engage in e-learning 3.0. The importance-performance map analysis provides further implications for managerial actions. (Published abstract)
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Alammari, Abdullah Mohammed. (2021). E-learning 3.0 - an intelligent learning system to enhance students' engagement . Umm Al-Qura University Journal of Education and Psychology Sciences. Vol. 13, no. 1, March 2021. pp. 402-424 Retrieved from search.shamaa.org |