Generative AI-Driven Emotional Education for Students: Theoretical Reconstruction and Practical Pathways

DOI

10.2991/978-2-38476-553-9_40How to use a DOI?

Keywords

Generative Artificial Intelligence; Emotional Education; Social-Emotional Learning Theory

Abstract

The rapid advancement of generative AI and the innovation of emotional education concepts have opened dual pathways for student emotional education: technological empowerment and theoretical reconstruction. Addressing the core tension between technological efficiency and humanistic values, this study integrates social-emotional learning theory, generative AI technical characteristics, and critical technology philosophy perspectives to propose a “technology-emotion” symbiotic framework. Through three-dimensional integration at the technological, theoretical, and philosophical orientation levels, this framework overcomes the traditional disconnect between instrumental rationality and value rationality in emotional education. The study reveals three dilemmas of generative AI in emotional education: limitations of disembodied interaction, ambiguous ethical responsibility, and disconnect in technological practice, proposing collaborative solutions. Student emotional education will inevitably offer dialectical insights into the worldview and value systems of future education, necessitating systematic and forward-looking theoretical exploration and practical reflection.

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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TY  - CONF
AU  - Shiying Li
AU  - Kaiwen Ren
AU  - Li Ma
PY  - 2026
DA  - 2026/03/25
TI  - Generative AI-Driven Emotional Education for Students: Theoretical Reconstruction and Practical Pathways
BT  - Proceedings of the 2025 4th International Conference on Educational Science and Social Culture (ESSC 2025)
PB  - Atlantis Press
SP  - 345
EP  - 358
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-553-9_40
DO  - 10.2991/978-2-38476-553-9_40
ID  - Li2026
ER  -