Dependency Factor Analysis in the Evaluation of College English Teaching Quality

Abstract

Teaching quality encompasses a multifaceted approach to education that prioritizes student engagement, comprehension, and empowerment. It extends beyond the mere imparting of knowledge to fostering critical thinking, creativity, and lifelong learning skills. A high-quality teaching environment is characterized by clear communication, supportive relationships between educators and students, and innovative instructional methods that cater to diverse learning styles. Effective feedback mechanisms, assessment practices, and curriculum design also contribute to teaching quality, ensuring that students receive personalized attention and opportunities for growth. Ultimately, teaching quality is measured not only by academic achievement but also by the holistic development of students as confident, curious, and socially responsible individuals prepared for success in an ever-evolving world. This paper introduces a novel approach to evaluating college English teaching quality through Dependency Factor Analysis, incorporating Point Feature Probability Classification Dependency Factor (PFP-DF). The proposed framework aims to provide a comprehensive assessment of teaching quality by analyzing dependencies between various factors influencing English instruction in college settings. Through simulated experiments and empirical validations, the effectiveness of the PFP-DF model in evaluating teaching quality is assessed. Results demonstrate significant improvements in accuracy and granularity compared to traditional evaluation methods. The PFP-DF model achieved an average accuracy rate of 85% in identifying key dependencies impacting teaching quality, allowing for targeted interventions and improvements. Additionally, the framework enables a more nuanced understanding of teaching dynamics, facilitating data-driven decision-making and continuous improvement in English instruction. These findings underscore the potential of Dependency Factor Analysis with PFP-DF in enhancing the evaluation of college English teaching quality, leading to more effective and impactful educational outcomes.