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.

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Published
2024-10-17
DOI
https://doi.org/10.3390/engproc2024076018
Citations
1
Primary Topic
Technology Adoption and User Behaviour
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article
Field-Weighted Citation Impact
1.05
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article

Strategic Assessment of E-Learning Platform Selection: A Multi-Criteria Decision Analysis for Students in India

Golam Kabir, Yash Bhavsar, Vaishnavi J. Patel
1 citations
Technology Adoption and User Behaviour
1.05
article

Strategic Assessment of E-Learning Platform Selection: A Multi-Criteria Decision Analysis for Students in India

Golam Kabir, Yash Bhavsar, Vaishnavi J. Patel
article en
1 citations

Abstract

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.

University of Regina (CA)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Technology Adoption and User Behaviour
1.05
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Strategic Assessment of E-Learning Platform Selection: A Multi-Criteria Decision Analysis for Students in India — Golam Kabir, Yash Bhavsar, et al. · (2024) | TGRS Research Map | TGRS