E-learning quality and the learners’ choice using spherical fuzzy analytic hierarchy process decision-making approach (Record no. 527300)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02251nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240821b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nguyen, Phong Thanh et al |
| 245 ## - TITLE STATEMENT | |
| Title | E-learning quality and the learners’ choice using spherical fuzzy analytic hierarchy process decision-making approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Vikalpa: The Journal for Decision Makers |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 49(2), Apr-Jun, 2024: p.143-156 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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.- Reproduced https://journals.sagepub.com/doi/full/10.1177/02560909241255003#tab-contributors |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Vikalpa: The Journal for Decision Makers |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | E-LEARNING |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-08-21 | 49(2), Apr-Jun, 2024: p.143-156 | AR132746 | 2024-08-21 | Articles |