Education instills ideals and aids in the overall growth of society. It allows people to shape themselves into more fiscally responsible contributors to society. Student evaluation of teaching is an important part of the management process of the digital campus, which is of great significance to the improvement of teaching quality and the implementation of teaching supervision and management. Conventional teaching evaluation mechanisms are based on students' feedback, which is time consuming and not accurate. Hence, this research work proposes a 5-level teaching evaluation system that utilizes information technology to efficiently and accurately establish a deep teaching evaluation system centered on objective data that can be further analyzed and processed. This teaching evaluation model dynamically analyzes and mines teaching evaluation data, reflecting teaching level more truly and objectively and improving teaching effectiveness. Experimental results show that the proposed model based on a deep evaluation system is statistically significant and is used to assess student quality quickly and accurately.