The Impact and Reshaping of Teacher-Student Relationships by Artificial Intelligence
DOI:
https://doi.org/10.54097/8d29mz41Keywords:
Artificial intelligence; teacher-student relationship; structure of interaction; teacher authority; teacher-student trust; emotional connection.Abstract
As artificial intelligence enters the classroom, the modes of interaction between teachers and students are undergoing profound changes. This paper argues that the primary impact of AI on teacher-student relationships is not the replacement of teachers, but rather a shift in teacher-student interaction from direct to indirect, from embodied to abstract, and from emotional to procedural. The key to reshaping this relationship lies in clarifying AI’s role as a tool, allowing teachers to return to their role as emotional companions, and protecting the unquantifiable spaces of interaction in education.
Downloads
References
[1] Su, L. Y. (2018). On the Teacher-Student Relationship in the Age of Artificial Intelligence. Open Education Research, 24(2), 23–30. https://doi.org/10.13966/j.cnki.kfjyyj.2018.02.003
[2] Biesta, G. J. J. (2010). Good Education in an Age of Measurement. Boulder, CO: Paradigm Publishers.
[3] Guilherme, A. (2019). AI and education: The importance of teacher and student relations. AI & SOCIETY, 34(1), 47–54.
[4] Borchers, C., Rodrigues, L., Torrezão da Costa, N., Xavier, C., & Ferreira Mello, R. (2026). Understanding teacher revisions of large language model-generated feedback. arXiv. https://doi.org/10.48550/arXiv.2603.27806
[5] Yang, Z. K., Li, X. G., & Tang, J. P. (2025). Space, relationship, order: The possibilities and limits of AI reconstructing educational scenarios—A dialogue between theory and practice. Educational Research, 46(8), 41–51.
[6] Rohl, T. (2025). Machine teaching? Teachers' professional agency in the age of algorithmic tools in education. British Journal of Sociology of Education.
[7] Luo, J. (2025). How does GenAI affect trust in teacher-student relationships? Insights from students' assessment experiences. Teaching in Higher Education, 30(4), 991–1006.
[8] Alasgarova, R., & Rzayev, J. (2025). The implications of artificial intelligence for teacher agency and teacher-student relationships through the technology acceptance model. International Journal of Technology in Education and Science, 9(3), 450–473.
[9] Calderwood, S. (2025). Surveillance digitisation, performativity, and teacher-student relationships in a blended learning setting. Postdigital Science and Education. Advance online publication. https://doi.org/10.1007/s42438-024-00537-6
[10] Cubio, J. V. (2025). The influence of privacy, bias, and surveillance concerns on teachers‘willingness to use artificial intelligence in education. International Journal of Research and Innovation in Social Science, 9*(3s), 3192–3208.
[11] Luo, J. H., Wang, L., & Liu, L. (2022). AI Enabled Classroom Teaching Evaluation: Ethical Review and Risk Resolution. Modern Distance Education Research, 34(2), 29–36.
[12] Zhao, L. L., Chen, X. M., & Du, X. Y. (2021). The construction of teacher-student relationships in the age of artificial intelligence: Realistic challenges and necessary shifts. Theory and Practice of Education, 41(31), 36–41.
[13] Dang, T. T., & Wang, H. J. (2025). Research on the Dimension and Path of Scene based Construction of Emotional Community Between Teachers and Students in the Era of Human Machine Symbiosis. China Educational Technology, (9), 63–69, 78.
[14] Ouyang, B., & Zeng, Y. L. (2026). Artificial intelligence empowering emotional education in ideological and political theory courses: How it is possible and what can be done. Studies in Ideological Education, (2), 75–81.
[15] Grove T R, Lucas A T, Martin M, et al. (2025) Am I as Effective at Identifying Emotions as Artificial Intelligence? A Comparative Study of Emotion Recognition. Cureus J Comput Sci 2: es44389–025–07224-y. doi: https://doi.org/10.7759/s44389-025-07224-y
[16] Wang, G., & Li, J. H. (2021). Constructing the "Other-I" teacher-student relationship in the age of artificial intelligence: Deepening responsibility, care, and personality inspiration through educational dialogue. Journal of the Chinese Society of Education, (7), 40–44.
[17] [17] Wang, X. M., & Liu, C. J. (2023). Ethical reflection on artificial intelligence empowering education. Jiangsu Social Sciences, (2), 68–77. https://doi.org/10.13858/j.cnki.cn32-1312/c.20230328.003
[18] [18] Oh, S., & Ahn, Y. (2024). Exploring teachers‘perception of artificial intelligence: The socio-emotional deficiency as opportunities and challenges in human-AI complementarity in K-12 education. arXiv, 2405.13065. https://arxiv.org/abs/2405.13065
[19] Ren, J. H. (2025). Changes and challenges of teacher-student ethical relationships in the new era and the reshaping of teacher ethics. Ethics Research, (4), 35–42. https://doi.org/10.15995/j.cnki.llxyj.2025.04.015
[20] Ministry of Education of the People ‘s Republic of China. (2026). The Ethics of Digital Education: A Reference Framework. 2026 World Digital Education Conference, Hangzhou, China. http://www.moe.gov.cn/jyb_xwfb/xw_zt/moe_357/2026/2026_zt05/cgfb/202605/t20260514_1436514.html.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Journal of Education, Humanities and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







