Author(s)

Hexia Yao ^1,2, Elizabeth M. Sagubo ¹

Affiliation(s)

¹ College of Teacher Education, University of the Cordilleras, Baguio, Benguet, Philippines
² Student Affairs Department, Hebei University of Engineering, Handan, Hebei, China

Corresponding Author

Hexia Yao

ABSTRACT

College students' education and psychologic wholesome management is an important subject of ideological and political work in colleges and universities. The development of college students' psychologic wholesome needs to continuously strengthen and improve the education and management of college students' psychologic wholesome. After years of development, China's education system has deeply realized the influence and role of college students' psychologic wholesome education and management. This paper studied the text mining of teaching resources and teaching methods in colleges and universities, and explored new models of innovative management methods to solve current problems. This paper used various algorithms to investigate the content and teaching methods of text mining teaching resources under the psychologic wholesome of college students, and summarized and discussed the experiments. The research results show that the text mining model research and teaching methods established in this paper have improved the effectiveness of college students' psychologic wholesome by 9.31%.

KEYWORDS

Psychologic Wholesome, Efficient Teaching, Text Mining, Teaching Methods

CITE THIS PAPER

Hexia Yao, Elizabeth M. Sagubo, Text Mining and Teaching Methods of College Teaching Resources Based on College Students' Mental Health. Applied & Educational Psychology (2023) Vol. 4: 101-112. DOI: http://dx.doi.org/10.23977/appep.2023.041016.

REFERENCES

[1] Andersen R, Holm A. The student mental health crisis: Assessing psychiatric and developmental explanatory models. Journal of Adolescence, 2021, 86(7):101-114.
[2] Baber M, Bate W. Student mental health – a public health challenge? Perspectives in Public Health, 2021, 141(3):127-128.
[3] Nesbitt A E, Collins K J, Nalder E. Occupational Outcomes of a Physical Activity Intervention for Post-Secondary Student Mental Health: Canadian Journal of Occupational Therapy, 2021, 88(3):254-265.
[4] Ma Z R, Ma W H, Idris S. COVID-19 impact on high school student's education and mental health: A cohort survey in China. World Journal of Psychiatry, 2021, 11(6):10-17.
[5] Medina A M, Mead J. MS-Speech-Language Pathology Student Mental Health: Establishing a Virtual Safety Net during COVID-19. Journal of Indian Speech Language & Hearing Association, 2021, 35(1):22-25.
[6] Bas G. Relation between Student Mental Health and Academic Achievement Revisited: A Meta-Analysis. Journal of Physics: Conference Series, 2021, 2(9):4-10.
[7] Wattick R A, Hagedorn R L, MD Olfert. Impact of resilience on college student mental health during COVID-19. Journal of American College Health, 2021, 7(6):1-8.
[8] Yan C. Innovative Research on German Education Teaching Mode in Colleges and Universities from the Perspective of BD. Journal of Physics: Conference Series, 2021, 1852(3):6-32.
[9] Bayrak T. A content analysis of top-ranked universities' mission statements from five global regions. International Journal of Educational Development, 2020, 2(7):102-130.
[10] Chao Y, Guo X, Wang R. Exploration of Teaching and Education: Integration of Sports and Medicine in Physical Education in Colleges and Universities. Contemporary Education Research, 2022, 6(1):63-67.
[11] Liu H. Application and Strengthening Strategies of Network Resources in the Construction of Teaching Platform. Journal of Physics: Conference Series, 2021, 1915(4):42-56.
[12] Bai J. A Brief Talk on the Computer Multimedia Network as a Powerful Aid to the Teaching of Guzheng in Colleges and Universities. Journal of Physics Conference Series, 2020, 15(33):16-22.
[13] Liu Z. Discussion on Network Classroom Teaching of the Meteorology and Climatology in Common Colleges and Universities. Meteorological and Environmental Research: English Edition, 2020, 11(5):2-3.
[14] Liu Y, Li J. Study on the application and teaching strategy of multimedia technology in music teaching in colleges and universities. Journal of Intelligent and Fuzzy Systems, 2021, 7(1):1-8.
[15] Yang Feng. Application Research of Text Classification Based on Linear Support Vector Machine. Information Technology and Informatization, 2020, 42(3):3-4.
[16] Zhu Baojun, Xian Shili, Fan Huifang. Research on Transformer Fault Diagnosis Technology Based on WRSR and Improved Naive Bayesian Fusion. Power System Protection and Control, 2021, 49(20):9-32.
[17] Niu Guiqin, Chen Xiaoping. Construction of a classification evaluation index system for young scientific and technological talents. Future and Development, 2020, 44(9):8-17.
[18] Xie Jun. Analysis of mental health factors of college students. Psychological Exploration, 2019, 21(1):5-6.
[19] Li Rui, Huang Yukun, Dong Lutong. Research and application of machine learning algorithm based on multi-text data mining of power grid regulation business. Electronic Design Engineering, 2021, 29(9):51-62.
[20] Qin Jing. Research on the optimization of online teaching evaluation indicators of mental health education courses under the background of curriculum ideology and politics—taking Shanghai Electronic Information Vocational and Technical College as an example. Educational Research, 2021, 4(9):107-109.

Sponsors, Associates, and Links

---

• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education