A Query-Based Approach to Mitigate the Shortcomings of Widely Used Learning Methods Through E-Learning

This paper begins with a review of existing learning methods, highlighting the limitations that hinder motivation, development of confidence, and memory retention. To address these gaps, we propose an e-learning strategy that uses technology to create a peer collaborative question development marketplace. The mobile application developed for this purpose is part of a progressive web application that functions as the peer collaborative questioning questions platform. The students’ exchanges of questions are ranked using Bloom’s Taxonomy, encouraging anonymous student questioning that should gradually lead to a deeper topic exploration. Our analysis, comparing an experimental group with a control, reveals that the proposed strategy creates a positive impact on students, enhancing their confidence, motivation, and querying skills. Furthermore, we found that enhanced questioning correlates with improved academic performance. Finally, we also discuss the potential challenges and how the dataset obtained from this study can be utilized for machine learning and artificial intelligence applications in e-learning.