Abstract: This study presents a comprehensive framework for cloud-based mobile learning, which investigates critical success factors (CSFs) for effective implementation. The researcher utilizes a multi-method approach consisting of a literature review, expert review, and Analytic Hierarchy Process (AHP) to collect and analyze data. The literature review covers e-learning, mobile learning, and cloud computing to identify the seven major domains containing sub-factors: Mobile Device Compatibility, Data Security, Learner Engagement, Content Quality, Learning Management, Scalability, and Instructor Support. The AHP method is used to select the most significant factors from the literature review. An expert review is conducted to ensure the framework's comprehensiveness and applicability. The study's findings can assist organizations in implementing cloud-based mobile learning by using the identified CSFs to ensure successful competitive performance. Overall, this study provides a comprehensive framework for cloud-based mobile learning using a multi-method approach.
Yousif, E. H., & Abd Elwahab Mekki, W. (2023). Prioritizing the CSFS of Cloud-Based M-Learning Analytic Hierarchy Process and Blackboard Case Study. International Journal of Learning Management Systems, 11(2), 65-78. doi: 10.21608/ijlms.2023.299475
MLA
E. Hashim Yousif; Walaa Abd Elwahab Mekki. "Prioritizing the CSFS of Cloud-Based M-Learning Analytic Hierarchy Process and Blackboard Case Study". International Journal of Learning Management Systems, 11, 2, 2023, 65-78. doi: 10.21608/ijlms.2023.299475
HARVARD
Yousif, E. H., Abd Elwahab Mekki, W. (2023). 'Prioritizing the CSFS of Cloud-Based M-Learning Analytic Hierarchy Process and Blackboard Case Study', International Journal of Learning Management Systems, 11(2), pp. 65-78. doi: 10.21608/ijlms.2023.299475
VANCOUVER
Yousif, E. H., Abd Elwahab Mekki, W. Prioritizing the CSFS of Cloud-Based M-Learning Analytic Hierarchy Process and Blackboard Case Study. International Journal of Learning Management Systems, 2023; 11(2): 65-78. doi: 10.21608/ijlms.2023.299475