Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students

Suyan Zhang, Xin Dong, Yan Feng, Li Chen, Guanghui Huang, Jianhua Zhang

2024

Abstract

Contemporary children’s mental health has emerged as a focal point of societal concern, particularly given that children are in the foundational stages of physical and psychological development. The exploration of children’s mental health through expressive art therapies, including art therapy, has attracted widespread attention. First, we conduct mosaic art classes for 50 students at a primary school in Henan Province, China, collect students’ works, and test the students’ psychological status according to the mental health scale. Subsequently, we categorize the artworks into positive and negative types, combine them with various deep neural network models to classify the student works, and analyse the correlation between colors, brightness, and student psychological states in the works, aiming to provide a theoretical model for student mental health assessment. Finally, we found that the ResNet model achieved an accuracy of 76% in the artwork classification task. Brightness in student works cannot be a representative factor of psychological states, whereas the role of color (yellow, blue, green, brown) was particularly prominent. Through this study, we conclude that color in artistic expression has potential value for the mental health of primary school students, providing scientific evidence and theoretical support for contemporary children’s mental health through expressive therapy.

Paper Citation

in Harvard Style

Zhang S., Dong X., Feng Y., Chen L., Huang G. and Zhang J. (2024). Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students. In Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS; ISBN 978-989-758-715-3, SciTePress, pages 108-112. DOI: 10.5220/0012922100004536

in Bibtex Style

@conference{dmeis24,
author={Suyan Zhang and Xin Dong and Yan Feng and Li Chen and Guanghui Huang and Jianhua Zhang},
title={Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students},
booktitle={Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS},
year={2024},
pages={108-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012922100004536},
isbn={978-989-758-715-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS
TI - Modeling and Analyzing the Impact of Mosaic Art on the Psychological Well-Being of Primary School Students
SN - 978-989-758-715-3
AU - Zhang S.
AU - Dong X.
AU - Feng Y.
AU - Chen L.
AU - Huang G.
AU - Zhang J.
PY - 2024
SP - 108
EP - 112
DO - 10.5220/0012922100004536
PB - SciTePress