Open Access
| 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 | |
- X.K. Chen, J.J. Gao, J.Q. Zhang, A Study on the Relationship between College Students’ Time Management Orientation, Academic Self-Efficacy, and Learning Happiness A relevant study on college students’ time management disposition, academic self-efficacy and learning well-being]. Frontiers of Social Science 5, 624–629 (2016) [Google Scholar]
- S. Nasrullah, M.G. Khan, The Impact of Time Management on the Students’ Academic Performance. J. Educ. Pract. 6, 9–16 (2015) [Google Scholar]
- A.M. Ghiasvand, M. Naderi, M.Z. Tafreshi, F. Ahmadi, M. Hosseini, Relationship between time management skills and anxiety and academic motivation of nursing students in Tehran. Electron. Physician 9, 3678–3684 (2017). https://doi.org/10.19082/3678 [Google Scholar]
- E. Alyahyan, D. Düştegör, Predicting academic success in higher education: Literature review and best practices. Int. J. Educ. Technol. High. Educ. 17, 1–17 (2020). https://doi.org/10.1186/s41239-020-0177-7 [Google Scholar]
- M. Liu, The relationship between students’ study time and academic performance and its practical significance. BCP Educ. Psychol. 7, 412–415 (2022) [Google Scholar]
- I.B. Suleiman, O.A. Okunade, E.G. Dada, Key factors influencing students’ academic performance. J. Electr. Syst. Inf. Technol. 11, 41 (2024). https://doi.org/10.1186/s43067-024-00166-w [Google Scholar]
- J.D. Creswell, M.J. Tumminia, S. Price, M.C. Lovett, Nightly sleep duration predicts grade point average in the first year of college. Proc. Natl. Acad. Sci. U.S.A. 120, e2209123120 (2023). https://doi.org/10.1073/pnas.2209123120 [Google Scholar]
- G. Stewart, A. Kamata, R. Miles, E. Grandoit, F. Mandelbaum, C. Quinn, L. Rabin, Predicting mental health help-seeking orientations among diverse undergraduates: An ordinal logistic regression analysis. J. Affect. Disord. 257, 271–280 (2019). [Google Scholar]
- L. Yao, et al., Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation. Front. Psychiatry (2025). https://doi.org/10.3389/fpsyt.2025.1585732 [Google Scholar]
- J.N. Ramos, A.P. Muraro, P.S. Nogueira, M.G. Ferreira, P.R.M. Rodrigues, Poor sleep quality, excessive daytime sleepiness and association with mental health in college students. Ann. Hum. Biol. 48(5), 382–388 (2021). https://doi.org/10.1080/03014460.2021.1983019 [Google Scholar]
- D. Dumuid, Ž. Pedišić, T.E. Stanford, et al., The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour. Stat. Methods Med. Res. 28(3), 846–857 (2019). https://doi.org/10.1177/0962280217737805 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.