Digital transformation has prompted the teaching model in higher education institutions to shift from the traditional offline mode to an integrated online-offline model. The diversification of teaching scenarios and the explosive growth of teaching data have put forward new requirements of “dynamicity, precision, and collaboration” for teaching quality monitoring. Most traditional universities rely on regular inspections and manual evaluations for teaching quality monitoring, which suffer from a series of problems, such as delayed monitoring, fragmented data, and untimely feedback, making it difficult to adapt to the dynamic changes of digital teaching. Combining the key requirements of digital transformation for teaching quality monitoring in universities, this paper analyzes the current shortcomings of the traditional monitoring system, explores the construction paths of a dynamic monitoring system from four aspects: data collection, analysis and early warning, feedback and improvement, and collaborative management, and proposes supporting practical guarantee measures. It aims to provide a practical reference for promoting the digital upgrading of teaching quality monitoring in universities and improving teaching quality.