Designing of an effective e-learning website using inter-valued fuzzy hybrid MCDM concept: A pedagogical approach

Abstract

The demand for effective e-learning platforms requires prioritizing pedagogical excellence in online educational websites. Current approaches struggle with uncertainties, hindering optimal e-learning environments due to a lack of comprehensive evaluation in traditional methods. An integrated approach is crucial to avoid inefficiencies and incomplete understanding of learner needs. This research introduces a pioneering methodology integrating Inter-Valued Fuzzy (IVF) COPRAS-EDAS-PIV hybrid Multiple Criteria Decision-Making (MCDM) techniques, addressing existing limitations. Leveraging the IVF concept allows a holistic assessment of pedagogical parameters, ensuring a thorough understanding of the decision-making landscape. The study involves an extensive literature review, parameter identification, and data acquisition through group decision-making. The selection of a suitable e-learning website is based on seven conflicting parameters, and preference ranking orders are prescribed using EDAS, COPRAS, and PIV MCDM model. Rigorous analysis using these techniques facilitates precise ranking and informed decision-making. The findings underscore the efficacy of the proposed IVF-MCDM approach for the design of a pedagogical e-learning website. Final results reveal that alternative 5 as the most preferable, followed by alternative 2, while alternative 3 is the least favored option among the group. Comparative and sensitivity analyses validate the approach’s superiority, enabling stakeholders to make well-informed decisions for optimal e-learning websites that cater to diverse learner needs, thus enhancing the overall online learning experience.