2024 Vol.7 Dec.N06

• Title: Construction of a student mental health warning model based on big data: integration of education and psychology
• Name: Ruiran Zhang
• Company: The University of Melbourne，Australia Victoria, Melbourne ，3052
• Abstract:

  With the development of education and the continuous improvement of society's requirements for students' comprehensive quality, students' mental health has become a focus of attention in the field of education. This study focuses on building a student mental health warning model based on big data, emphasizing the integration of education and psychology. By elaborating on the importance of integrating the two in researching students' mental health, analyzing the current application status of big data in this field, constructing a warning indicator system that integrates the two, and then building a warning model. To provide effective tools for timely detection and intervention of students' mental health problems, and to improve their mental health level.

  
  

• Keyword: Big data; Student mental health; Early warning model; education; Psychology; Integration;
• DOI: 10.12250/jpciams2024090722
• Citation form: Ruiran Zhang.Construction of a student mental health warning model based on big data: integration of education and psychology[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.95-99

[1] Ziyi Z .Early warning model of adolescent mental health based on big data and machine learning[J].Soft computing: A fusion of foundations, methodologies and applications, 2024, 28(1):811-828.

[2] Feng Y , Li J , Liu T ,et al.Construction of a mental health risk model for college students with long and short-term memory networks and early warning indicators[J].Journal of Intelligent Systems, 2024, 33(1):37-40.

[3]Xiao-Li Mao,Hong-Mei Chen.Investigation of contemporary college students’mental health status and construction of a risk prediction model[J].World Journal of Psychiatry,2023,13(8):573-582.