Optimizing Human Resource Management in Education through Big Data and Learning Analytics

Authors

  • Hermania Bhoki Sekolah Tinggi Pastoral Reinha Larantuka, Flores, Indonesia

DOI:

https://doi.org/10.21009/jtp.v27i3.60928

Keywords:

Human Resource Management, Big Data, Learning Analytics

Abstract

This study explores the optimization of Human Resource Management (HRM) in education through the integration of Big Data and Learning Analytics. Despite the growing availability of educational data, many institutions still face challenges in fully utilizing these technologies to enhance HRM practices. The research focuses on how Big Data and Learning Analytics can improve key HRM processes such as recruitment, performance evaluation, professional development, and teacher retention. By reviewing existing literature, this study identifies gaps in the current use of these technologies and proposes strategies to overcome barriers related to their implementation. The findings suggest that integrating Big Data and Learning Analytics into HRM practices can significantly improve decision-making, foster teacher development, and ultimately contribute to better academic and non-academic outcomes. The study concludes that a data-driven approach to HRM is essential for optimizing educational management and achieving sustainable improvements in teaching and learning. Further research is needed to explore effective strategies for the integration of these technologies into HRM practices to fully realize their potential in education.

References

Anwar, G., & Abdullah, N. N. (2021). The impact of Human resource management practice on Organizational performance. International Journal of Engineering, Business and Management (IJEBM), 5.

Armstrong, M., & Taylor, S. (2023). Armstrong’s handbook of human resource management practice: A guide to the theory and practice of people management. Kogan Page Publishers.

Arulrajah, A. A. (2022). Contribution of human resource management in creating and sustaining ethical climate in the organisations. Sri Lankan Journal of Human Resource Management, 5(1), 31.

Ashurov, S., Musse, O. S. H., & Abdelhak, T. (2024). Evaluating corporate social responsibility in achieving sustainable development and social welfare. BRICS Journal of Economics, 5(2), 77–102.

Bai, Y. (2022). Innovative mode of human resource management of university teachers based on intelligent big data analysis. Computational Intelligence and Neuroscience, 2022(1), 7345547.

Chiarello, F., Giordano, V., Spada, I., Barandoni, S., & Fantoni, G. (2024). Future applications of generative large language models: A data-driven case study on ChatGPT. Technovation, 133, 103002.

Dessler, G. (2015). Manajemen Sumber Daya Manusia. Edisi 14. In Human Resource Management (Vol. 14). Penerbit Salemba Empat.

Garcia-Arroyo, J., & Osca, A. (2021). Big data contributions to human resource management: a systematic review. The International Journal of Human Resource Management, 32(20), 4337–4362.

Gravili, G., Hassan, R., Avram, A., & Schiavone, F. (2023). Big data and human resource management: paving the way toward sustainability. European Journal of Innovation Management, 26(7), 552–590.

Groenewald, C. A., Groenewald, E., Uy, F., Kilag, O. K., Abendan, C. F., & Pernites, M. J. (2024). Driving performance improvement: HRM approaches in education office settings. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (IMJRISE), 1(3), 135–141.

Jiang, Y., Jamil, S., Zaman, S. I., & Fatima, S. A. (2024). Elevating organizational effectiveness: synthesizing human resource management with sustainable performance alignment. Journal of Organizational Effectiveness: People and Performance, 11(2), 392–447.

Malleck, D. J., & Kitula, P. R. (2023). Role of human resource management practices in enhancing students’ performance: A case of public and private secondary schools in Mbulu District. Tanzania. Journal of Research Innovation and Implications in Education.

Mulyati, M., Mulawarman, W. G., Warman, W., Akhmad, A., Haeruddin, H., & Nurlaili, N. (2025). Human Resource Management in Improving the Quality of Education in Elementary Schools in the Tropical Forest Area of Berau Regency. Journal Of Education And Sociology, 4(3), 6–17.

Owolabi, O. R., Olatoye, F. O., Elufioye, O. A., & Okunade, B. (2024). Human resources management in healthcare: Recruitment, retention, and workforce development: A review. World Journal of Advanced Research and Reviews, 21(2), 950–957.

Permatasari, N., & Tandiayuk, S. (2023). Human resource management in education: Optimizing teacher performance for better learning outcomes. Golden Ratio of Mapping Idea and Literature Format, 3(1), 35–59.

Porter, M. E. (2023). Changing patterns of international competition. In International Strategic Management (pp. 61–86). Routledge.

Rohayati, T. (2024). Integrating Human Resources Management and Digital Competencies: A Strategic Approach in Higher Education. Al-Ishlah: Jurnal Pendidikan, 16(2), 1118–1127.

Rosyalita, D. (2024). Strategi Inovatif dalam Manajemen Sumber Daya Manusia untuk Meningkatkan Kinerja Organisasi. Journal of Knowledge and Collaboration, 1(7), 324–330.

Singun, A. J. (2025). Unveiling the barriers to digital transformation in higher education institutions: a systematic literature review. Discover Education, 4(1), 37.

Syafriani, V., & Yuliani, T. (2025). Bridging theories and practice: Organizational management in an Indonesian school context. Global Review of Tourism and Social Sciences, 1(2), 99–118.

Wang, Z. (2021). Human resource management mode based on big data. Journal of Physics: Conference Series, 1852(2), 22018.

Downloads

Published

2025-12-22

How to Cite

Bhoki, H. (2025). Optimizing Human Resource Management in Education through Big Data and Learning Analytics. JTP - Jurnal Teknologi Pendidikan, 27(3), 878–886. https://doi.org/10.21009/jtp.v27i3.60928

Issue

Vol. 27 No. 3 (2025): Jurnal Teknologi Pendidikan

Section

Full Articles

License

Copyright (c) 2025 Hermania Bhoki

Creative Commons License

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

Jurnal Teknologi Pendidikan is an Open Access Journal. The authors who publish the manuscript in Jurnal Teknologi Pendidikan agree to the following terms.

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

 

  • You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
  • No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.