Evaluation Model of College Students’ Psychological Education Quality Based on Data Technology

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Abstract

With the advent of the era of big data, it is urgent to use information technology to help the comprehensive reform of students’ psychological education. This paper expounds from the perspective of comprehensive evaluation of students’ psychological education quality. By formulating national unified data standards, this paper constructs a comprehensive evaluation platform of students’ psychological education quality, provides interfaces for provinces, cities and counties, and forms an integrated comprehensive system of students’ psychological education quality to serve the country At the same time, it also provides services for students’ psychological education decision-making by students’ psychological education institutions at all levels, so as to promote the process of comprehensive reform of students’ Psychological Education in China. The course of College Students’ mental health and students’ psychological education is close to life, which provides us with a good ideological guidance, consolidates the positive, healthy and upward spiritual bond of college students, stimulates our spiritual motivation of self-improvement, helps us maintain the spiritual motivation of hitting the water in the middle stream, and makes me think more about myself, Use big data to provide opportunities for multi participation in education evaluation. Tablet computers and other devices can be used to carry out data processing on learning data, so as to realize the data information collection of teachers on students’ learning process, and provide data basis for the development of informatization in the field of education. From the perspective of comprehensive evaluation of students’ psychological education quality, this paper briefly analyzes and discusses the help of big data in education.

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APA

Chen, B., & Zhao, X. (2023). Evaluation Model of College Students’ Psychological Education Quality Based on Data Technology. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 466 LNICST, pp. 535–545). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-23947-2_57

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