Evaluation of sports teaching quality in universities based on fuzzy decision support system

Abstract

Sports teaching in universities relies on staff experience, training modes., evaluated by the student’s performance and competitive outcomes. The teaching quality assessment requires a large volume of data related to teaching patterns, training. A Teaching Convoluted Quality Assessment Model (TCQAM) is proposed in this article to provide a robust teaching quality assessment. The proposed model intakes different factors, such as training patterns, sessions, time, associated with the teaching sessions. Based on the sports training requisites, the above, like associated factors, are validated using a fuzzy decision system. In this decision system, the possible factors for maximum teaching quality are convoluted with each of the above-mentioned factors. The fuzzy membership derivatives identify the least performance factor to perform an improvement assessment. This improvement assessment replaces the low teaching quality factors with the recommended or novel inputs. The fuzzy performs high-quality membership derivatives on this improved assessment to ensure better teaching is provided. Therefore, a balanced teaching input improves the quality of sports teaching for different training sessions.