Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)

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Research on the Mechanisms for AI-driven Students’ Social-Emotional Learning

Authors
Yajin Qiu1, *
1School of International Digital Economy, Minjiang University, Fujian, China
*Corresponding author. Email: 3337531093@qq.com
Corresponding Author
Yajin Qiu
Available Online 15 February 2026.
DOI
10.2991/978-94-6463-988-9_8How to use a DOI?
Keywords
Artificial Intelligence; Social-Emotional Learning; Emotional Recognition
Abstract

The integration of Artificial Intelligence (AI) into social-emotional learning (SEL) has drawn increasing attention due to its potential to enhance educational support for students’ emotional development, though the application pathways, effectiveness, and influencing factors of AI in this context remain underexplored. This study aims to examine AI application approaches—including types and functions of AI, intervention efficacy, and key influencing factors—while offering theoretical and practical insights for developing AI-driven SEL tools. Through a comprehensive analysis of nearly 20 relevant studies. The findings indicate that AI supports SEL primarily through three pathways: multimodal emotion recognition, adaptive learning systems, and immersive simulation scenarios such as Augmented Reality (AR) and Virtual Reality (VR). Key influencing factors include the accuracy and cultural adaptability of algorithms, accessibility of professional teacher training, involvement of caregivers, and policy support related to ethical and equitable implementation. This study provides a solid theoretical foundation and practical guidance for future research and educational practice in AI-enhanced SEL.

Copyright
© 2026 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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Volume Title
Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 February 2026
ISBN
978-94-6463-988-9
ISSN
2352-5398
DOI
10.2991/978-94-6463-988-9_8How to use a DOI?
Copyright
© 2026 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.

Cite this article

risenwbib
TY  - CONF
AU  - Yajin Qiu
PY  - 2026
DA  - 2026/02/15
TI  - Research on the Mechanisms for AI-driven Students’ Social-Emotional Learning
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 63
EP  - 73
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_8
DO  - 10.2991/978-94-6463-988-9_8
ID  - Qiu2026
ER  -