Research on the Psychology of Art Students in an Intelligent Online Learning System

DOI

10.2991/978-94-6463-502-7_20How to use a DOI?

Keywords

psychoeducation; characteristics collection; university education; arts majors; e-learning

Abstract

Although the restrictions of the COVID-19 have been lifted at present, financial instability and the uncertainty of future careers continue to have a sustained impact on the psychological well-being of college students in the post-pandemic era. To promote early anomaly detection and timely guidance for the mental health of art students, this study combines characteristics collection systems and online questionnaires, utilizing the RESE system, to provide effective psychological education strategies tailored to the unique needs of art students. For this purpose, we conducted an experiment with 1673 university students (49.3% male, 50.7% female; 56.7% art students, 43.3% non-art students) participating in an online trial. The experimental results reveal the prevalence of mental health issues among art students and emphasize the importance of capturing subconscious behavior for accurate analysis. The research demonstrates that art students often face underlying mental health problems, making it difficult for them to openly recognize and express their emotions. Through real-time monitoring and objective data analysis, the study successfully identifies varying degrees of anxiety among art students at different academic levels. The RESE system proves invaluable in understanding the performance, attendance, behavioral characteristics, and progress of each art student in isolated learning environments. By promptly detecting mental health issues, this intelligent system enables timely interventions and guidance, benefiting both students and teachers.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiayao Li
AU  - Li Liu
AU  - Yuntao Zou
AU  - Yuhui He
PY  - 2024
DA  - 2024/08/31
TI  - Research on the Psychology of Art Students in an Intelligent Online Learning System
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 175
EP  - 188
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_20
DO  - 10.2991/978-94-6463-502-7_20
ID  - Li2024
ER  -