Dynamic monitoring and optimization of teaching quality based on biomechanical models: A case study of private universities, with Shanghai Lida University as an example

The quality of teaching in private higher education institutions has become a significant concern in recent years. Traditional evaluation methods, such as student surveys and academic performance, are often insufficient in capturing the full complexity of teaching effectiveness, particularly in terms of teacher-student interaction. This study proposes a novel approach for assessing and optimizing teaching quality at Shanghai Lida University, a private institution in China, by integrating biomechanical models to analyze non-verbal communication between teachers and students. A mixed-methods approach was adopted, combining survey data from 150 students and 20 teachers with biomechanical modeling techniques to evaluate the impact of teacher behaviors—such as gestures, eye contact, posture, and body movements—on student engagement. The findings reveal that teacher non-verbal communication, especially consistent eye contact and frequent use of hand gestures, significantly enhances student attentiveness and participation. Additionally, classroom environmental factors, such as lighting and temperature. They are found to influence student engagement levels. A multiple linear regression model identified teacher non-verbal behaviors and student engagement as the strongest predictors of teaching effectiveness. The study highlights the potential of biomechanical models to offer real-time insights into teacher-student interactions and presents actionable strategies for improving teaching practices. This research offers valuable contributions to the understanding and optimization of teaching quality in private universities.