| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 03017 | |
| Number of page(s) | 9 | |
| Section | Large Language Models, Generative AI, and Multimodal Learning | |
| DOI | https://doi.org/10.1051/itmconf/20268403017 | |
| Published online | 06 April 2026 | |
Research and Analysis on the Predictive Effect of Time Allocation on College Students’ Academic Performance and Psychological Stress
1 International Business School Suzhou at XJTLU, Xi’an Jiaotong-Liverpool University, Suzhou 215000, China
2 School of Software, Henan Polytechnic University, Jiaozuo 454000, China
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study investigates a correlation between time spent and Grade Point Average (GPA) of college students and their mental health. In order to determine these associations, multivariate regression and multinomial logistic regression analyses were done. The Multiple linear regression model accounted 54.09 percent of the variance of GPA (R2 = 0.5409) and the multinomial logistic regression explained the stress levels with a general model of 82.6% percent and a McFadden pseudo R2 of 0.5988. The findings showed that the amount of time that one spent studying also positively correlated with GPA (β= 0.5926, p < 0.001) though with increased odds of developing the elevated stress condition (OR = 8192.15, p < 0.001). It has been observed that the duration of sleep was a stress protective factor (OR = 0.1, p < 0.001), which is about a 90% fall in risk of being stressed. As a contrast, the direct effects of extracurricular activities and exercise on stress were not significant.
© The Authors, published by EDP Sciences, 2026
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