Abstract
In recent years, the issue of student stress has attracted increasing attention from mental health professionals, educators, and researchers. Understanding the factors contributing to student stress is essential for effective interventions and support systems. This paper aims to investigate the real-life features associated with stress among students. In particular, this work examines and compares how stress levels correlate to five categories of factors, which consist of twenty features in total. The experiment was conducted on a publicly accessible dataset, and the analysis results show that students' stress associated with features from five factors demonstrates different patterns. Bullying and poor sleep quality are the main stressors among students.
| Original language | English |
|---|---|
| Title of host publication | Proceedings : 2025 International Symposium on Educational Technology ISET 2025 |
| Editors | Kwok Tai CHUI, Chaiporn JAIKAEO, Jitti NIRAMITRANON, Wattana KAEWMANEE, Kwan-Keung NG, Pornthipa ONGKUNARUK |
| Publisher | IEEE |
| Pages | 60-65 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331595500 |
| ISBN (Print) | 9798331595517 |
| DOIs | |
| Publication status | E-pub ahead of print - 19 Aug 2025 |
| Event | 2025 International Symposium on Educational Technology - Bangkok, Thailand Duration: 22 Jul 2025 → 25 Jul 2025 |
Publication series
| Name | International Symposium on Educational Technology |
|---|---|
| Publisher | IEEE |
| Volume | 2025 |
| ISSN (Print) | 2766-2128 |
| ISSN (Electronic) | 2766-2144 |
Conference
| Conference | 2025 International Symposium on Educational Technology |
|---|---|
| Abbreviated title | ISET |
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 22/07/25 → 25/07/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Funding
The research has been supported by Teaching Development Grant (TDG) entitled "Flipping and Gamifying Data Science Classrooms" (Project No. 102722) and UGCfunded Inter-institutional Collaborative Activities for Fund for Innovative Technology-in Education (IICA-FITE) entitled "Advancing digital competency for university teachers and students in the era of generative artificial intelligence" (Project No. 120045) of Lingnan University, Hong Kong. This research has received the financial support from HKMU Conference Award for Research Students.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Student stress
- stress factors
- stress feature analysis
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