In this paper, aiming at the problem of comprehensive quality evaluation of college students, a comprehensive evaluation model construction method based on multi-modal database is proposed. Firstly, this paper introduces the theory of comprehensive quality evaluation, multi-modal data processing technology and the research status of students' comprehensive quality evaluation model. Then, this paper introduces the process of database design and data acquisition in detail, including database design, data acquisition methods and data processing and cleaning. Then, the methods of multi-modal data fusion and comprehensive evaluation model construction are proposed, including multi-modal data fusion method, comprehensive evaluation model construction method, model parameter adjustment and result analysis. Finally, this paper presents and analyzes the experimental results, and finds that the convolutional neural network has a good effect on the construction of the comprehensive evaluation model, but the performance on different data sets is different. Therefore, the weight of different data sets should be allocated reasonably to improve the accuracy of comprehensive evaluation. The research results of this paper have important reference value for the comprehensive quality evaluation of college students.

Huang Juan. Research on the Construction of College Students Comprehensive Quality Evaluation Model Based on Multi-modal Database. Frontiers in Educational Research (2023) Vol. 6, Issue 11: 29-33. https://doi.org/10.25236/FER.2023.061106.

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