Strategic Assessment of E-Learning Platform Selection: A Multi-Criteria Decision Analysis for Students in India
The transformative impact of technological advancements has ushered in a new era in education, digitizing traditional learning approaches into accessible E-learning platforms. In the context of India, where students increasingly rely on digital education, the multitude of available platforms has introduced a challenge: selecting the most suitable one. This project addresses this concern by providing information on the optimal E-learning platform. The selection is based on critical criteria such as cost-effectiveness, user experience, technological factors, assessment methods, and the quality of education. To determine the significance of each criterion and rank them, the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) method is employed. Subsequently, the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy-TOPSIS) is utilized to evaluate and identify the best E-learning platform. The key findings from this research aim to guide students, educators, and institutions in making informed decisions about E-learning platforms, ultimately enhancing the digital learning experience for Indian students.
Authors
- Golam Kabir (ORCID: https://orcid.org/0000-0001-9591-0629)
- Yash Bhavsar
- Vaishnavi J. Patel (ORCID: https://orcid.org/0009-0002-2839-2344)
Institutions
- University of Regina (CA)
Publication Details
- Published
- 2024-10-17
- DOI
- https://doi.org/10.3390/engproc2024076018
- Citations
- 1
- Primary Topic
- Technology Adoption and User Behaviour
- Type
- article
- Field-Weighted Citation Impact
- 1.05