A Study for Determining Critical Factors of Teaching Quality by Genetic algorithm

Teachers play a crucial role in shaping the curriculum and implementing teaching strategies. Effective evaluation tools are essential for assessing teaching performance, aiding teachers in evaluating their effectiveness, and enhancing overall teaching quality. A tailored teaching quality evaluation system is developed based on the unique characteristics of university educators. Feedback on teaching quality is gathered from students through a comprehensive questionnaire survey, yielding 381 valid responses. The study employs a genetic algorithm to identify critical factors within the teaching quality evaluation framework. The findings highlight the significance of factors such as punctuality in conducting classes, relevance of practical teaching content to subject development, and engaging teaching methods that deviate from traditional approaches. Correlation analysis of these factors offers valuable insights to guide decisionmaking for university administrators and faculty