Practical Exploration and Optimization Path of Teaching Supervision Mechanisms in Colleges and Universities: Analysis of Teaching Quality Data in the Autumn Semester of 2024 at School A, University Z

Teaching quality is the core guarantee for universities to achieve their talent cultivation goals, and teaching supervision, as an important means of monitoring teaching quality, runs through the entire process of teaching management. Based on the teaching quality report of School A at University Z for the autumn semester of 2024, this paper systematically analyzes the current situation, problems, and causes of the teaching supervision mechanism through multi-dimensional data analysis of expert classroom observation, peer evaluation, and classroom feedback. On this basis, combined with the application prospects of artificial intelligence technology, it proposes paths to optimize the teaching supervision mechanism, including improving the classroom observation feedback mechanism, increasing supervision coverage, and strengthening the linkage between feedback and teaching reform, providing practical experience and theoretical support for improving teaching quality in universities.