In view of the immature evaluation of mixed teaching quality and the lack of suitable training and evaluation standards for applied talents, taking the evaluation of students' learning ability and comprehensive quality in Applied Colleges and Universities as the background, this paper explores the construction of student-centered teaching quality evaluation index system with ability training as the main line, quantifiable learning process and easy evaluation, starting with the in-depth analysis of the typical activities of teachers and students in the process of pre-class preparation, in-class implementation and after-class feedback of mixed teaching. At the practical level, taking the students majoring in Internet of things engineering as the research object, the 2020 students are included in the experimental group and the 2019 students as the reference group. Through the analysis of the significance of the final results of the two groups of students and the questionnaire survey on the course satisfaction of 2020 students, it is verified that the constructed teaching evaluation system can effectively stimulate students' learning interest and improve teaching quality. Using the teaching process data of the experimental group collected on the cloud platform, the weight reliability of the evaluation index system is analyzed by SPSS software, which shows that the evaluation system has high reliability. The construction of mixed teaching evaluation index system provides new ideas and reference value for peers to further carry out relevant research from the theoretical and practical levels.