The Future of Work in Education: How AI is Reshaping HR Roles

Authors

DOI:

https://doi.org/10.31384/jisrmsse/2026.24.1.1

Keywords:

Analytic Intelligence, Human Resource Management, education sector

Abstract

Artificial Intelligence (AI) revolutionises educational organisations and Human Resource (HR) management. This study examines how artificial intelligence reshapes HR functions in educational environments, highlighting emerging efficiencies, new trends, challenges and ethics. This research focuses on four case studies on how to use AI for acceptance and implementation and their influence across HR functions. Findings reveal that AI impacts training and development (T&D) through technology and automation in the learning process. T&D is one of the most significant functions of HR. In contrast, administrative functions and Human Resource forecasting are less affected due to implementation barriers, resource availability and ethical issues. Additionally, the study highlights the importance of sufficient budget, technological setup, and skill development for the proper implementation of AI in schools. The paper also emphasises data privacy as an ethical issue that protects and responsibly handles personal information, especially for students and employees. The study suggests a theoretical framework to support HR practice in the most competitive and technologically advanced ways. Practically, using AI in education is achievable if institutions create education policies, protect data, invest in education, and encourage data-driven policy-making and unbiased and objective decisions.

Downloads

Download data is not yet available.

References

Ahammad, T. (2017). Personnel management to human resource management (HRM): How HRMfunctions. Journal of Modern Accounting and Auditing, 13(9), 412–420.

Aldamoe, F. M. A., Yazam, M., & Ahmid, K. B. (2012). The mediating effect of HRM outcomes (employee retention) on the relationship between HRM practices and organizational performance. International Journal of Human Resource Studies, 2(1),

–75.

Amin, M. M., Cambria, E., & Schuller, B. W. (2023). Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT. IEEE Intelligent Systems, 38(2), 15–23.

Cavaliere, L. P. L., Nath, K., Wisetsri, W., Villalba-Condori, K. O., Arias-Chavez, D., Setiawan, R., & Regin, R. (2021).

Deb, T. (2006). Strategic approach to human resource management. Atlantic Publishers & Dist.

Duke, J. I., & Udono, E. N. (2012). A new paradigm in traditional human resources management practices. Journal of Management and Sustainability, 2, 158–158.

Edralin, D. M. (2004). Training: A strategic HRM function. Centre for Business and Economic Research and Development, 7(4), 1–4.

Farndale, E., & Kelliher, C. (2013). Implementing performance appraisal: Exploring the employee experience. Human Resource Management, 52(6), 879–897.

Greenwood, M., & Anderson, E. (2009). “I used to be an employee but now I am a stakeholder”: Implications of labelling employees as stakeholders. Asia Pacific Journal of Human Resources, 47(2), 186–200.

Gupta, N., & Shaw, J. D. (2014). Employee compensation: The neglected area of HRM research. Human Resource Management Review, 24(1), 1–4.

Hsu, Y. R., & Leat, M. (2000). A study of HRM and recruitment and selection policies and practices in Taiwan. The International Journal of Human Resource Management, 11(2), 413–435.

Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38, 635–672.

Jain, S., & Barik, S. (2023). Role of AI on HRM functions: An empirical study on private IT and educational sectors in India. Advances in management research, 45–52.

Karimian, G., Petelos, E., & Evers, S. M. (2022). The ethical issues of the application of artificial intelligence in healthcare: A systematic scoping review. AI and Ethics, 2(4), 539–551.

Kizilcec, R. F., & Lee, H. (2022). Algorithmic fairness in education. The ethics of artificial intelligence in education, 174–202.

Milon, M., Alam, M. A., & Pias, M. H. (2022). Exploring the key practices of E-HRM in place of traditional HRM: A study on private industry of Bangladesh. Journal of Human Resource and Sustainability Studies, 10(3), 403–417.

Roche, W. K., Teague, P., & Colvin, A. J. (Eds.). (2014). The Oxford handbook of conflict management in organizations. Oxford University Press.

Sabry, F. (2023). Narrow artificial intelligence: Fundamentals and applications (Vol. 167). One Billion Knowledge.

Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., &Jiya, T. (2022). Organisational responses to the ethical issues of artificial intelligence. AI & Society, 37(1), 23–37.

Sutanto, E. M. (2000). Forecasting: The key to successful human resource management. Jurnal Manajemen dan Kewirausahaan, 2(1), 1–8.

Wang, Q., Madaio, M., Kane, S., Kapania, S., Terry, M., & Wilcox, L. (2023). Designing responsible AI: Adaptations of UX practice to meet responsible AI challenges. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,

–16

Downloads

Published

2026-06-30

How to Cite

Syed, S. B. (2026). The Future of Work in Education: How AI is Reshaping HR Roles. JISR Management and Social Sciences & Economics, 24(1), 1–22. https://doi.org/10.31384/jisrmsse/2026.24.1.1