Classroom teaching evaluation in universities is of great significance for improving the level of talent cultivation and classroom teaching quality. In this paper, in order to evaluate the university classroom teaching more objectively, the principal component analysis and systematic clustering algorithm are used to establish the course teaching quality assessment model. The data of classroom teaching quality evaluation of 30 teachers in S university are used to verify the example. First, three independent variables, namely, teaching resources and atmosphere creation, faculty situation and classroom teaching situation, were extracted based on the portfolio evaluation method. Then, the teachers’ classroom teaching quality was comprehensively evaluated and ranked by systematic cluster analysis. The error term test proves that the teaching quality of college courses can be accurately assessed based on \( Y = 1.782 + 0.211p_1 + 0.261p_2 + 0.165p_3 \). Finally, the teaching quality improvement countermeasures in three aspects, namely, upgrading the level of “application-oriented” teachers, expanding classroom teaching content, enriching professional learning resources, and creating a professional learning atmosphere, are put forward in the light of the teaching experience of the courses.
