Research on Data-Driven Strategy of Integration of Mental Health Education and Ideological and Political Education in Colleges and Universities

With the development of Internet of Things and big data technology, mental health education in colleges and universities has ushered in new opportunities and challenges. This study proposes a way to identify students' mental health problems at an early stage by constructing a decision support system based on data mining technology (such as a decision tree algorithm), and to integrate ideological and political education into this system, so as to promote the formation of mental health and correct values in students. Empirical research shows that this system can significantly improve the early warning capacity of psychological problems and provide a scientific basis for timely intervention. This advancement will not only help to improve the mental health of college students, but will also promote innovation in mental health education and support the all-around development of students.

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Publication Details

Journal
International Journal of Healthcare Information Systems and Informatics
Published
2025-04-26
DOI
https://doi.org/10.4018/ijhisi.374199
Citations
1
Primary Topic
Ideological and Political Education
Type
article
Field-Weighted Citation Impact
8.93

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article

Research on Data-Driven Strategy of Integration of Mental Health Education and Ideological and Political Education in Colleges and Universities

Zixiang Liu, Mingzhu Xie
1 citations
International Journal of Healthcare Information Systems and Informatics
Ideological and Political Education
8.93
article

Research on Data-Driven Strategy of Integration of Mental Health Education and Ideological and Political Education in Colleges and Universities

Zixiang Liu, Mingzhu Xie
article en
1 citations

Abstract

With the development of Internet of Things and big data technology, mental health education in colleges and universities has ushered in new opportunities and challenges. This study proposes a way to identify students' mental health problems at an early stage by constructing a decision support system based on data mining technology (such as a decision tree algorithm), and to integrate ideological and political education into this system, so as to promote the formation of mental health and correct values in students. Empirical research shows that this system can significantly improve the early warning capacity of psychological problems and provide a scientific basis for timely intervention. This advancement will not only help to improve the mental health of college students, but will also promote innovation in mental health education and support the all-around development of students.

International Journal of Healthcare Information Systems and InformaticsVol. 20(1)
Anhui Xinhua University (CN)
Anhui Xinhua University
Openalex Percentile: Top 5%
Ideological and Political Education
8.93
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