A data-driven data-based model for assessing the quality of graduate quality education

The assessment of graduate quality education quality is an important support to guarantee the quality of graduate quality education, and the promotion of assessment activities and the improvement of the assessment system are conducive to colleges and universities to find out the real problems in the management of quality education. This paper proposes a set of evaluation indexes for the quality of graduate quality education based on the CIPP model, and determines the conceptual model of graduate quality education quality evaluation index system through the Delphi method. Hierarchical analysis is used to assign weights to the first and second level evaluation indexes of the model, and the quality of quality education is assessed based on the TOPSIS method. Eight polytechnic colleges and universities were selected as the empirical objects to score the first-level evaluation indexes and the overall quality of quality education by applying the quality assessment model of postgraduate quality education proposed in this paper. The results show that at the level of overall quality education quality, A1>A3>A4>A2>A5>A6>A7>A8, and the relative proximity of A1 is 0.914 and that of A8 is 0.304.