TOPSIS and VIKOR integrated model to analyse the accuracy of AHP VARK model blended learning data

Ibrahim, Muhammad Farhan (2024) TOPSIS and VIKOR integrated model to analyse the accuracy of AHP VARK model blended learning data. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Blended learning integrates face-to-face and online education, requiring students to attend physical classes and engage in virtual learning at their convenience. This approach became prevalent post-Movement Control Order (MCO) as universities adopted hybrid teaching methods. However, blended learning presents challenges and opportunities as students must adapt to varying teaching styles, planning, and timing from different lecturers. Higher education institutions face the challenge of selecting the most effective approach to cater to diverse learning styles and produce quality graduates. The research objectives include studying AHP VARK model data from previous student projects, applying the integrated TOPSIS VIKOR model, and testing the accuracy of AHP blended learning data. Methodologically, the study involves a comprehensive review of multi-criteria decision-making techniques, detailed analysis using TOPSIS and VIKOR models, and a focus on evaluating the accuracy of blended learning data through these integrated methods. The result shows that TOPSIS and VIKOR method with 88.6% accuracy surpass AHP VARK model with 74% accuracy, these results indicate that the TOPSIS and VIKOR models provide a good method for assessing the accuracy of the AHP VARK model, offering insights into the effectiveness of different blended learning models. Future recommendations include expanding the dataset to include a more diverse student population and different educational contexts. The findings of this study can contribute to the enhancement of decision analysis methodologies in blended learning contexts, providing deeper insights into the effectiveness of the AHP-VARK model.

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