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<p>Advances in big data technology herald a new era for mental health education in higher education, offering novel solutions to age-old challenges in student psychological care. This paper investigates how big data’s analytical capabilities can surpass traditional, one-size-fits-all mental health assessments by leveraging detailed student data for personalized care. We applied data mining techniques to the mental health data of 1,200 students from College G, creating a rich database of psychological patterns and a mental health information exchange platform. The analysis led to the identification of 500 instances of psychological distress with an accuracy of 79.5% and unveiled patterns linking academic stress and adjustment difficulties to mental health issues. Our research underscores big data’s role in enhancing mental health interventions, providing the groundwork for more individualized and effective mental health services in academic settings.</p>
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Advances in big data technology herald a new era for mental health education in higher education, offering novel solutions to age-old challenges in student psychological care. This paper investigates how big data’s analytical capabilities can surpass traditional, one-size-fits-all mental health assessments by leveraging detailed student data for personalized care. We applied data mining techniques to the mental health data of 1,200 students from College G, creating a rich database of psychological patterns and a mental health information exchange platform. The analysis led to the identification of 500 instances of psychological distress with an accuracy of 79.5% and unveiled patterns linking academic stress and adjustment difficulties to mental health issues. Our research underscores big data’s role in enhancing mental health interventions, providing the groundwork for more individualized and effective mental health services in academic settings.

The Application of Big Data Technology in Teaching College Students’ Mental Health Education in Colleges and Universities

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Advances in big data technology herald a new era for mental health education in higher education, offering novel solutions to age-old challenges in student...

The Application of Big Data Technology in Teaching College Students’ Mental Health Education in Colleges and Universities

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 02. Feb. 2024

Akzeptiert: 09. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0792

Schlüsselwörter
Big data technology, College mental health, Data mining, Psychological crisis assessment, Personalized intervention

© 2024 Jin Tan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Application of Big Data Technology in Teaching College Students’ Mental Health Education in Colleges and Universities

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 02. Feb. 2024

Akzeptiert: 09. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0792

SchlüsselwörterBig data technology, College mental health, Data mining, Psychological crisis assessment, Personalized intervention

© 2024 Jin Tan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Big data technology, College mental health, Data mining, Psychological crisis assessment, Personalized intervention