Analyzing Critical Success Factors for Sustainable Cloud-Based Mobile Learning (CBML) in Crisp and Fuzzy Environment

Quadri Noorulhasan Naveed (), Adel Ibrahim Qahmash (), Mohamed Rafik N. Qureshi, Naim Ahmad, Mohammed Aref Abdul Rasheed and Md Akhtaruzzaman
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Quadri Noorulhasan Naveed: College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia
Adel Ibrahim Qahmash: College of Education, King Khalid University, Abha 61413, Saudi Arabia
Mohamed Rafik N. Qureshi: College of Engineering, King Khalid University, Abha 61413, Saudi Arabia
Naim Ahmad: College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia
Mohammed Aref Abdul Rasheed: Department of MIS, College of Commerce and Business Administration, Dhofar University, Salalah 211, Oman
Md Akhtaruzzaman: Department of Computer Science and Engineering, Military Institute of Science and Technology (MIST), Dhaka 1216, Bangladesh

Sustainability, 2023, vol. 15, issue 2, 1-19

Abstract: Mobile Learning (M-Learning), driven by technological digital advancement, is one of the essential formats of online learning, providing flexibility to learners. Cloud-based mobile learning (CBML) provides value additions by providing an economic alternative to E-learning. Revolutionary changes in smartphone design and features have enhanced the user experience, thus encouraging mobile learning. During the COVID-19 pandemic, E-Learning and M-Learning allowed continuing education to occur. These methods continue to offer more opportunities to learners than constrained face-to-face classroom learning. There are many main critical success factors (CSFs) and subfactors that play an influential role in sustainable M-Learning success. The current study focuses on the assessment and ranking of various main factors and subfactors of CBML. Analytic hierarchy process-group decision-making (AHP-GDM)- and fuzzy analytic hierarchy process (FAHP)-based methodologies were used to evaluate and model the main factors and subfactors of CBML in crisp and fuzzy environments. Higher education institutes must strive to address these main factors and subfactors if they are to fulfill their vision and mission in the teaching–learning system while adopting sustainable M-Learning.

Keywords: analytic hierarchy process (AHP); cloud-based M-Learning (CBML) cloud computing; fuzzy AHP (FAHP); mobile learning; universities; higher educational institute (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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