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- Title
E-learning Quality and the Learners' Choice Using Spherical Fuzzy Analytic Hierarchy Process Decision-making Approach.
- Authors
Nguyen, Phong Thanh; Nguyen, Quyen Le Hoang Thuy To; Huynh, Vy Dang Bich; Nguyen, Luan Thanh
- Abstract
E-learning in the context of Industry 4.0 and the outbreak of the COVID-19 pandemic has transformed traditional education. However, the smooth transition from face-to-face education to e-learning remains a challenging task, given concerns about e-learning quality. This study aims to explore the quality criteria and the adoption of e-learning via the spherical fuzzy analytic hierarchy process (SF-AHP). The extended technical acceptance model is used as a theoretical framework for constructing quality in an adoption hierarchical model. The input data derived from in-depth interviews of 20 experts in the field and the SF-AHP calculator have generated the priority weights of quality criteria in the model of e-learning adoption. The findings confirm the role of three major criteria, in order of importance, as follows: system, resources and core factors. The results highlight system factors as most crucial, including aspects such as governmental policies and institutional leadership, which are essential for setting a conducive environment for e-learning. Resource factors are ranked second, emphasizing the importance of IT applications, human capital and facilities to support e-learning infrastructure. Core factors, though ranked lower, are vital in ensuring the effectiveness of e-learning through course materials, instruction, and learner support. The weights of 14 sub-criteria have further shed light on policies to promote e-learning quality and its adoption. The implied priority of each weight a valuable guideline for the stakeholders' actions to reach the targeted goals under the constraint resources.
- Subjects
VIETNAM; ANALYTIC hierarchy process; DIGITAL learning; DECISION making; COVID-19 pandemic; HUMAN capital
- Publication
Vikalpa: The Journal for Decision Makers, 2024, Vol 49, Issue 2, p143
- ISSN
0256-0909
- Publication type
Article
- DOI
10.1177/02560909241255003