The Impact of Artificial Intelligence on Teacher Burnout and Professional Well-Being

Authors

  • Vaishali Yadav, Dr Mudasir Hamid

Keywords:

Teacher Burnout, Artificial Intelligence in Education, Teacher Well-being, Educational Technology, Workload Management

Abstract

Teacher burnout has become an increasingly significant concern in modern education systems due to rising workload, emotional demands, administrative responsibilities, and continuous technological change. Prolonged exposure to these stressors often results in emotional exhaustion, reduced professional effectiveness, and declining job satisfaction among teachers. In recent years, Artificial Intelligence (AI) has emerged as a transformative tool in education, offering solutions such as automated administrative processes, intelligent assessment systems, adaptive learning platforms, and data-driven instructional support. This study examines the role of Artificial Intelligence in addressing teacher burnout by analyzing its potential to reduce workload, enhance teaching efficiency, and support professional well-being. At the same time, the study acknowledges the challenges associated with AI integration, including technological anxiety, ethical concerns, and issues related to data privacy and professional autonomy. By exploring teachers’ perceptions and experiences with AI-based tools, the study aims to provide insights into how AI can be strategically utilized to mitigate burnout while preserving the human-centered nature of teaching.

References

Aloe, A. M., Amo, L. C., & Shanahan, M. E. (2014). Classroom management self-efficacy and burnout: A multivariate meta-analysis. Educational Psychology Review, 26(1), 101–126.

Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285.

Benevene, P., De Stasio, S., Fiorilli, C., Buonomo, I., & Ragni, B. (2020). The impact of emotional exhaustion on teachers’ turnover intentions: The mediating role of job satisfaction. International Journal of Educational Management, 34(3), 451–465.

Bondanini, G., Giorgi, G., Ariza-Montes, A., Vega-Muñoz, A., & Andreucci-Annunziata, P. (2020). Technostress dark side of technology in the workplace: A scientometric analysis. International Journal of Environmental Research and Public Health, 17(21), 8013.

Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands–resources model of burnout. Journal of Applied Psychology, 86(3), 499–512.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Klusmann, U., Richter, D., & Lüdtke, O. (2016). Teachers’ emotional exhaustion is negatively related to students’ achievement. Journal of Educational Psychology, 108(8), 1193–1203.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

Maslach, C., & Leiter, M. P. (2016). Understanding the burnout experience: Recent research and its implications. World Psychiatry, 15(2), 103–111.

OECD. (2021). Teachers at the core of education recovery. OECD Publishing.

P. Devi, H. Kaur, R. Kumar, S. Aluvala and S. Singh, "Artificial Intelligence is Revolution or Devolution for Employability," 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India, 2023, pp. 367-371, doi: 10.1109/ICIMIA60377.2023.10425850.

Schaufeli, W. B., Leiter, M. P., & Maslach, C. (2009). Burnout: 35 years of research and practice. Career Development International, 14(3), 204–220.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. British Journal of Educational Technology, 50(4), 1731–1744.

Sokal, L., Trudel, L. E., & Babb, J. (2020). Canadian teachers’ attitudes toward change, efficacy, and burnout during COVID-19. International Journal of Educational Research Open, 1, 100016.

Taris, T. W. (2006). Is there a relationship between burnout and objective performance? A critical review. Work & Stress, 20(4), 316–334.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39), 1–27.

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How to Cite

Vaishali Yadav, Dr Mudasir Hamid. (2025). The Impact of Artificial Intelligence on Teacher Burnout and Professional Well-Being. International Journal of Research & Technology, 13(4), 638–649. Retrieved from https://ijrt.org/j/article/view/751

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