The Effect of Workload and Work-Life Balance on Teacher Performance with Gemini AI Utilization as a Mediating Variable
DOI:
https://doi.org/10.55681/economina.v5i9.4088Keywords:
Workload, Work–life balance, Gemini AI Utilization, Teacher PerformanceAbstract
This study examines the effect of workload and work-life balance on teacher performance, and tests the mediating role of Gemini AI utilization. The sample consisted of 250 teachers from schools registered as Google Reference School Candidates (KSRG) across Indonesia, selected using purposive sampling followed by proportional random sampling. The instrument was developed from indicators of workload, work-life balance, Gemini AI utilization, and teacher performance, measured on a five-point Likert scale. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings show that workload has a positive and significant effect on Gemini AI utilization but a negative and significant effect on teacher performance, work-life balance has a positive and significant effect on both Gemini AI utilization and teacher performance, and Gemini AI utilization has a positive and significant effect on teacher performance. Gemini AI utilization also significantly mediates the effect of workload (competitive mediation) and work-life balance (complementary mediation) on teacher performance. Managerially, KSRG school management should keep teachers' workload proportional, strengthen work-life balance policies, and provide structured training so that Gemini AI can be optimally integrated into teachers' daily instructional and administrative tasks.
Downloads
References
Acosta-Enriquez, B. G., Ballesteros, M. A. A., Guzman Valle, M. de los A., Morales Angaspilco, J. E., Aquino Lalupú, J. del R., Jaico, J. L. B., Germán Reyes, N. C., Alarcón García, R. E., & Castillo, W. E. J. (2025). The mediating role of academic stress, critical thinking and performance expectations in the influence of academic self-efficacy on AI dependence: Case study in college students. Computers and Education: Artificial Intelligence, 8(January). https://doi.org/10.1016/j.caeai.2025.100381
Aghaee, N., Vrågård, J., & Brorsson, F. (2024). Generative AI in Higher Education: Educators’ Perspectives on Academic Learning and Integrity. European Conference on e-Learning, 23, 406–414. https://doi.org/10.34190/ecel.23.1.3090
ANTARA News. (2025). HaiGuru Impact sebut AI dorong produktivitas guru. https://www.antaranews.com/berita/4797365/haiguru-impact-sebut-ai-dorong-produktivitas-guru
Arbab, K., Swati, S., & Zahur, H. (2025). Impact of Hybrid Work on Employees’ Work-Life Balance: The Mediating Role of Artificial Intelligence. Research Journal for Social Affairs, 3(6), 771–779. https://doi.org/10.71317/rjsa.003.06.0508
Assalamah, S., Winata, H., & Hernawan, Y. (2026). The Influence of Work-Life Balance on Teachers’ Performance at SMK Negeri 3 Bandung. Proceedings of the International Conference on Education, Economics, Business, Entrepreneurship, and Finance (ICEBEF), 4, 1–4.
Atay, S., Müftüoğlu, C. T., Gülmez, N., & Şahin, M. (2025). Society 5.0 and human-centered technology: Redefining talent management in the digital age. Sustainable Futures, 9, 100733. https://doi.org/https://doi.org/10.1016/j.sftr.2025.100733
Azizah, A., & Hidayatullah, D. (2025). The Influence of Service Quality, Product Quality, and Price on Customer Loyality Throught Customer Satisfaction: A Study of Online Wood Sales at Perhutani Stores in West Java and Banten. International Journal of Science and Society, 7, 120–134. https://doi.org/10.54783/ijsoc.v7i4.1549
Gao, J. (2023). R-Squared (R 2 ) – How much variation is explained? Research Methods in Medicine & Health Sciences, 5, 104–109. https://doi.org/10.1177/26320843231186398
Google for Education. (2025). How Albuquerque Public Schools uses Google Gemini for teaching, learning and administration. https://edu.google.com/resources/customer-stories/albuquerque-gemini/
Google Indonesia. (2024). Indonesia jadi negara pertama yang membekali para guru melalui Gemini Academy. Google Blog. https://blog.google/intl/id-id/gwg2023/
Hanjaya, Y., Ratih, I., & Halik, A. (2025). The Influence of Job Characteristics and Work Motivation on Teacher Performance: The Mediating Role of Digital Dexterity and The Moderating Role of Perceived Organizational Support at Vocational High School Ketintang Surabaya. Journal of Economics, Management, and Accounting, 1, 299–311. https://doi.org/10.65310/0znyfn34
Hilhamsyah, H., Hidayati, D., & Imama, M. L. (2024). Teacher Habits And Workload In The Digitalization Of Education. JKTP: Jurnal Kajian Teknologi Pendidikan, 7(4), 195. https://doi.org/10.17977/um038v7i42024p195
Hobfoll, S. (1989). Conservation of Resources. American Psychologist, 44, 513–524. https://doi.org/10.1037/0003-066X.44.3.513
Hobfoll, S., Halbesleben, J., Neveu, J.-P., & Westman, M. (2018). Conservation of Resources in the Organizational Context: The Reality of Resources and Their Consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640
Imran, M., & Almusharraf, N. (2024). Google Gemini as a next generation AI educational tool: a review of emerging educational technology. Smart Learning Environments, 11, 1–8. https://doi.org/10.1186/s40561-024-00310-z
Ismail, I., Pernadi, N., & Febriyanti, A. (2022). How to Grab And Determine the Size of The Sample For Research. 6, 88–92.
Karina, K., Permana, J., & Suharto, N. (2025). The Influence of Work-Life Balance on Teacher Performance in Integrated Islamic Primary School. International Journal of Pedagogy and Teacher Education, 9, 252. https://doi.org/10.20961/ijpte.v9i2.98309
Khoirunnisa, A. I., Iklila, H., Ali, N., Alifah, N., Yulia, S., & Safira, A. (2025). Curriculum Digitalization: The Impact of Technology on Curriculum Development in The Era of Industrial Revolution 4.0. Indonesian Journal of Educational Research and Technology, 5(2), 179–190.
Kibambila, V. K. (2026). From work attributes to engagement: the crucial role of work-life balance for secondary school teachers in Tanzania. Cogent Education, 13(1), 2641286. https://doi.org/10.1080/2331186X.2026.2641286
KSRG Indonesia. (2024). Profil dan kisah dari Kandidat Sekolah Rujukan Google (KSRG). https://www.ksrgindonesia.id/home
McCarthy, A. M., Maor, D., McConney, A., & Cavanaugh, C. (2023). Digital transformation in education: Critical components for leaders of system change. Social Sciences & Humanities Open, 8(1), 100479. https://doi.org/https://doi.org/10.1016/j.ssaho.2023.100479
Muchenje, G., & Seppänen, M. (2023). Unpacking task-technology fit to explore the business value of big data analytics. International Journal of Information Management, 69, 102619. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2022.102619
Mustofa, & Rulyansah, A. (2025). Penggunaan Artificial Intelligence untuk Mengurangi Beban Kerja Guru dan Meningkatkan Kesejahteraan Psikologis Guru di SDI Ar-Rahmah. Journal of Community Development Diversity, 1(2), 42–47. https://doi.org/10.64595/jcdd.299
Muthinnah, M., Mardiah, A., Astari, D., Efendi, M., & Lubis, H. (2025). The Effect of Workload on Teacher Performance at SDN 2 Idi Rayeuk, East Aceh Regency. East Asian Journal of Multidisciplinary Research, 4, 5593–5606. https://doi.org/10.55927/eajmr.v4i11.452
Nguyen, C. Q., Nguyen, A. M. T., & Ba Le, L. (2022). Using partial least squares structural equation modeling (PLS-SEM) to assess the effects of entrepreneurial education on engineering students’s entrepreneurial intention. Cogent Education, 9(1), 2122330. https://doi.org/10.1080/2331186X.2022.2122330
Ninghardjanti, P., Umam, M., Subarno, A., Winarno, A., Langgi, N., & Widodo, J. (2025). Evaluating the impact of AI on the critical thinking skills among the higher education students by combining the TAM model and critical thinking theory. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1719625
Rahaman, M. A., Hassan, H. M. K., Asheq, A., & Islam, K. M. A. (2022). The interplay between eWOM information and purchase intention on social media: Through the lens of IAM and TAM theory. PLOS ONE, 17. https://doi.org/10.1371/journal.pone.0272926
Rotama, A., & Santoso, A. (2026). PENGARUH LINGKUNGAN KERJA, BUDAYA KERJA, DAN JENJANG KARIER TERHADAP KINERJA KARYAWAN DENGAN KOMPENSASI DAN BENEFIT SEBAGAI VARIABEL MEDIASI PADA PT. MITRA MULIA MAKMUR PLANT SIDOARJO. JIMEK : Jurnal Ilmiah Mahasiswa Ekonomi, 9, 1–13. https://doi.org/10.30737/jimek.v9i1.7728
Slater, P., & Hasson, F. (2025). Quantitative Research Designs, Hierarchy of Evidence and Validity. Journal of Psychiatric and Mental Health Nursing, 32(3), 656–660. https://doi.org/10.1111/jpm.13135
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Suryani, W. D., & Sumiyana, S. (2015). Task-Technology Fit and Person-Job Fit: a Beauty Contest To Improve the Success of Information Systems. Journal of Indonesian Economy and Business, 29(2), 99–117. https://doi.org/10.22146/jieb.v29i2.6203
Tambunan, W., Partiwi, S. G., & Sudiarno, A. (2024). Predictors of employee well-being: A global measurements using reflective-formative model. Heliyon, 10(22), e40222. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e40222
Tang, K. (2026). The Impact of Artificial Intelligence Adoption on Employee Performance in Malaysian SMEs: The Mediating Role of Work Motivation. Uniglobal Journal of Social Sciences and Humanities, 5(1), 23–30. https://doi.org/10.53797/ujssh.v5i1.4.2026
Yuliani, R., Harun, C., & Yusrizal, Y. (2022). The Positive Influence of Satisfaction and Workload on Teachers Performance. Journal of Education Research and Evaluation, 6, 195–201. https://doi.org/10.23887/jere.v6i1.37850
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 JURNAL ECONOMINA

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








