arbiter
JournalsPricingAccount

Enhancing College Students' Mental Health via PE Teachers

Dang Jian et al.

International Journal of Healthcare Information Systems and Informatics2025https://doi.org/10.4018/ijhisi.382812article
ABDC C
Weight
0.37

What the paper says

During the COVID-19 pandemic college students faced significant pressures impacting their mental health. This article explores the psychological challenges encountered and presents strategies whereby physical education teachers can support students' mental well-being. A deep learning approach was employed using a Convolutional Neural Network-Recurrent Neural Network model for intelligent psychological state evaluation, focusing on textual data analysis related to metaphor usage and the reflection of students' mental states. This study demonstrated that the prediction accuracy for core psychological factors exceeded 90%, showing substantial improvement when compared with traditional single-factor predictions. The findings indicated that this algorithm effectively identified mental health issues, therefore offering valuable theoretical guidance for teachers in helping students regulate their psychological states. Additionally, this research underscored the critical role of physical education in fostering mental resilience among students, particularly during challenging periods, such as the pandemic.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.4018/ijhisi.382812

Or copy a formatted citation

@article{dang2025,
  title        = {{Enhancing College Students' Mental Health via PE Teachers}},
  author       = {Dang Jian et al.},
  journal      = {International Journal of Healthcare Information Systems and Informatics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijhisi.382812},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Enhancing College Students' Mental Health via PE Teachers

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.