Evaluating English Teaching Quality in Colleges Using Fuzzy Logic and Online Game-Based Learning

English teaching quality assessment is an integral measure of college teaching management and an efficient tool to enhance teaching quality and higher education operational effectiveness. Game-based learning occurs when teachers use competitive, interactive, and entertaining activities to encourage students to engage in online learning. In addition, game-based learning impacts students' emotional and personal worlds and motivates them to study, with self-realization and knowledge progress in the English language as the ultimate goals. However, students have varying requirements and learning styles; thus, designing a universally applicable adaptive learning system might be difficult. Hence, this article suggests the Improved Fuzzy Analytical Hierarchy Process (IF-AHP) to effectively assess English teaching quality using Game-based learning in Colleges. The data are taken from the English language learner dataset for analyzing the teaching quality. Based on fuzzy variables, AHP, and entropy techniques, are suggested to deal with the difficulty of the instructor's teaching quality assessment problem. Firstly, this study builds hierarchy models and calculates the weight of assessment factors by AHP, then executes the hierarchical assessment and obtains the overall assessment outcomes by FCE. The online game-based learning system with the proposed IF-AHP model helps students to learn English speedily, and the system gets a good utility evaluation in system efficiency and satisfaction. The experimental outcomes demonstrate that the suggested IF-AHP model increases the student engagement ratio of 98.5%, teacher knowledge level ratio of 97.9%, teacher performance ratio of 98.9%, accuracy ratio of 96.7%, and teacher involvement ratio of 95.5% compared to other existing approaches. © 2024 CAD Solutions, LLC, http://www.cad-journal.net.