Generative AI in Education: Examining Burnout, Self-Efficacy, and Family Environment Among Teachers
- DOI
- 10.2991/978-2-38476-575-1_13How to use a DOI?
- Keywords
- Teacher Burnout; Self-Efficacy; Family Environment; Generative AI; Indian Teachers
- Abstract
This paper studies the relationship between teacher burnout, self-efficacy, and family environment in the evolving context of generative artificial intelligence in education. As pedagogy is currently changing with the increasing use of AI-based tools, it is essential to analyze how personal and socio-cultural factors impact teachers and their ability to adapt to these changes. This research paper adopts a quantitative approach and presents a cross-sectional study based on data collected from both primary and secondary school teachers in Prayagraj, India. Standardized instruments are used to measure burnout, teacher self-efficacy, and family environment. Relevant descriptive and inferential statistical methods are used for data analysis. The research results show that stronger self-efficacy beliefs and a positive family environment can reduce burnout levels among teachers, and that these act as powerful psychosocial resources in the context of technological change. Gender differences and differences in the workplace also illustrate the effect of contextual and cultural conditions on the well-being of teachers. The paper finds out that teacher self-efficacy can be improved through specific professional development and understanding the importance of family environment in decreasing burnout and responsible and fair incorporation of generative AI in the school’s education. The implications of these insights to teacher development programmes and educational policy are sustainable adoption of AI technologies.
- 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
TY - CONF AU - Radha Kumari AU - Kanak Priya AU - Jyotsana Jaiswal PY - 2026 DA - 2026/05/06 TI - Generative AI in Education: Examining Burnout, Self-Efficacy, and Family Environment Among Teachers BT - Proceedings of the International Conference on Dynamics of Environment, Sustainability, and Gender Disparities: A Holistic Dialogue for Inclusive Futures (ICDESGD 2025) PB - Atlantis Press SP - 208 EP - 222 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-575-1_13 DO - 10.2991/978-2-38476-575-1_13 ID - Kumari2026 ER -