Exploring the Teaching Mode of College Students’ Mental Health Education under Artificial Intelligence Technology Guided by Cognitive Behavioral Theory

[1] Vhaduri, S., Dibbo, S. V., & Kim, Y. (2021). Deriving college students’ phone call patterns to improve student life. IEEE Access. Search in Google Scholar

[2] Pitakchinnapong, N., & Rhein, D. (2019). Exploration of the causation of stigmatization of mental illness in thailand: perceptions of thai university students. Computers in Human Behavior. Search in Google Scholar

[3] Zhang, K., Lin, Z., Peng, Y., & Li, L. (2021). A longitudinal study on psychological burden of medical students during covid-19 outbreak and remission period in china. European Journal of Psychiatry(4). Search in Google Scholar

[4] Marin, Kelly, A., Rotondo, & Elena, K. (2017). Rumination and self-reflection in stress narratives and relations to psychological functioning. Memory. Search in Google Scholar

[5] Sosik, John, J., Chun, Jae, & Uk et al. (2017). Relationships between psychological wellbeing of thai college students, goal orientations, and gender. Psychology in the Schools. Search in Google Scholar

[6] Cao, W., Fang, Z., Hou, G., Han, M., & Zheng, J. (2020). The psychological impact of the covid-19 epidemic on college students in china. Psychiatry Research, 287, 112934. Search in Google Scholar

[7] Karasawa, M., Asai, N., & Hioki, K. (2019). Psychological essentialism at the explicit and implicit levels: the unique status of social categories. Japanese Psychological Research. Search in Google Scholar

[8] Yu, H., Zhang, G., Liu, J., & Li, K. (2019). Intelligent knowledge service system based on depression monitoring of college students. International Journal of Emerging Technologies in Learning (iJET), 14(12), 71. Search in Google Scholar

[9] Wang, M., & Qin, H. (2017). Experimental control study of mental sub-health of college students on different interventions. Boletin Tecnico/Technical Bulletin, 55(8), 658–662. Search in Google Scholar

[10] Okuhara, T., Ishikawa, H., Okada, M., Kato, M., & Kiuchi, T. (2018). How to attract interest in health materials: lessons from psychological studies. Health, 10(4), 422–433. Search in Google Scholar

[11] Reifman, A., Oblad, T., & Niehuis, S. (2017). Long-term psychological health among individuals pursuing emerging adulthood-type pathways in the 1950s and 1960s. Journal of Adult Development, 24(2), 119–132. Search in Google Scholar

[12] Wu, Z. (2017). Construction of positive psychological health education mode for institutions of high learning. Revista de la Facultad de Ingenieria, 32(16), 1033–1038. Search in Google Scholar

[13] Srivastava, S., Pant, M., & Nagar, A. (2017). Yuva: an e-health model for dealing with psychological issues of adolescents. Journal of Computational Science, 21(jul.), 150–163. Search in Google Scholar

[14] Mei, C. (2017). An optimized research mode of college students psychological health and education based on data mining technology. Revista de la Facultad de Ingenieria, 32(9), 93–99. Search in Google Scholar

[15] Li, Q. (2017). A brief analysis of college students’ network psychological health. Revista de la Facultad de Ingenieria, 32(16), 952–957. Search in Google Scholar

[16] Huang, C. (2017). New exploration of network mental health education in colleges and universities. Boletin Tecnico/Technical Bulletin, 55(19), 449–455. Search in Google Scholar

[17] Meng, X., & Zhang, J. (2020). Anxiety recognition of college students using a takagi-sugeno-kang fuzzy system modeling method and deep features. IEEE Access, PP(99), 1–1. Search in Google Scholar

[18] Chang, R. (2017). Optimum modeling and simulation of mental health literacy for college students. Boletin Tecnico/Technical Bulletin, 55(20), 461–467. Search in Google Scholar

[19] Zhang, J. (2021). A study on mental health assessments of college students based on triangular fuzzy function and entropy weight method. Mathematical Problems in Engineering, 2021(10), 1–8. Search in Google Scholar