Between technological innovation and human decision-making: teachers' perceptions of the use of artificial intelligence in personnel selection
DOI:
https://doi.org/10.36097/rsan.v1iEspecial_3.4206Keywords:
Teaching, Artificial Intelligence, Recruitment, Human talent managementAbstract
Artificial intelligence (AI) is transforming human talent management by automating tasks and supporting decision-making in recruitment and personnel selection. This study analyzes university faculty members’ perceptions of the use of AI in personnel selection processes. A quantitative, non-experimental, cross-sectional, descriptive, exploratory, and correlational study was conducted. The sample comprised 33 faculty members selected through non-probability convenience sampling. A 25-item questionnaire, validated by experts and yielding Cronbach’s alpha reliability coefficient of 0.77, was administered. The data were analyzed using descriptive statistics and Spearman’s rank correlations. Of the participants, 73% reported using AI tools. Their levels of knowledge and assessments of the benefits, risks, ethical implications, and acceptance of AI fell within moderate ranges. A relative preference for hybrid models involving human oversight was observed. No statistically significant associations were identified between perceptions of AI and the sociodemographic variables analyzed. AI was regarded as a complementary tool for personnel selection; however, its acceptance depends on appropriate training, technological infrastructure, institutional regulation, and guaranteed human oversight.
Downloads
References
Alshahrani, S. T., Choukir, J., Albelali, S., & AlShalhoob, A. A. (2025). Perceptions of the Impact of AI on Human Resource Management Practices Among Human Resource Managers Working in the Chemical Industry in Saudi Arabia. Sustainability, 17(13), 5815. https://doi.org/10.3390/su17135815
Baldeon, J. L., Chucos, W. L., Baca, B., Villanueva, J. A., & Arteaga, A. E. (2026). Integración de la IA en las metodologías de enseñanza: Revisión sistemática sobre las percepciones docentes. 6(3). https://doi.org/10.5281/zenodo.17982372
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182. https://doi.org/10.1002/job.2735
Baque, V. E., Zavala, M. I., Mendoza, V. P., Recalde, E. B., Nevares, M. D. J., Castillo, N. E., & Barreto, W. W. (2024). Percepciones y experiencias de docentes universitarios sobre la inteligencia artificial: Transformación, ética y desafíos en el uso académico por estudiantes: Perceptions and experiences of university teachers on artificial intelligence: Transformation, ethics and challenges in academic use by students. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 5(6). https://doi.org/10.56712/latam.v5i6.3204
Cedeño, C. L., Burau, E. E., Carrión, O. P., & González, J. R. (2025). Revolucionando la enseñanza universitaria: Inteligencia artificial y estrategias personalizadas para un aprendizaje más eficiente y adaptable. Reincisol., 4(7), 1469–1487. https://doi.org/10.59282/reincisol.V4(7)1469-1487
Cepeda, E., Durán, Y., & Ocaña, A. (2025). Usos y perspectivas de la inteligencia artificial en la comunidad de profesores de la Universidad de Guayaquil. Ñawi, 9(1), 151–165. https://doi.org/10.37785/nw.v9n1.a9
Chin, P. (2025). AI in Higher Education: A Case Study Examining Decision-Making Shifts and Personalised Learning Through Educators’ Perspectives. Education Quarterly Reviews, 23–39. https://doi.org/10.31014/aior.1993.08.02.576
Dima, J., Gilbert, M.-H., Dextras, J., & Giraud, L. (2024). The effects of artificial intelligence on human resource activities and the roles of the human resource triad: Opportunities and challenges. Frontiers in Psychology, 15, 1360401. https://doi.org/10.3389/fpsyg.2024.1360401
Dong, M. M., Stratopoulos, T. C., & Wang, V. X. (2024). A scoping review of ChatGPT research in accounting and finance. International Journal of Accounting Information Systems, 55, 100715. https://doi.org/10.1016/j.accinf.2024.100715
Faqihi, A., & Miah, S. J. (2023). Artificial Intelligence-Driven Talent Management System: Exploring the Risks and Options for Constructing a Theoretical Foundation. Journal of Risk and Financial Management, 16(1), 31. https://doi.org/10.3390/jrfm16010031
Florentino, B., Sestito, C., Cruz, W., de Carvalho, A., & Bonidia, R. (2025). Artificial Intelligence for All? Brazilian Teachers on Ethics, Equity, and the Everyday Challenges of AI in Education. arXiv. https://doi.org/10.48550/arXiv.2512.23834
Hernández, R., Fernández, C., & Baptista, P. (2014). Metodología de la investigación (3ra. Ed.). Mcgraw-hill. https://www.uv.mx/personal/cbustamante/files/2011/06/metodologia-de-la-investigaci%C3%83%C2%B3n_sampieri.pdf
Karran, A. J., Charland, P., Martineau, J.-T., de Arana, A. O. de G. L., Lesage, AM., Senecal, S., & Leger, P.-M. (2024). Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education. arXiv. https://doi.org/10.48550/arXiv.2402.15027
Kuzior, A., & Kwilinski, A. (2022). Cognitive Technologies and Artificial Intelligence in Social Perception. Management Systems in Production Engineering, 30(2), 109–115. https://doi.org/10.2478/mspe-2022-0014
Lee, K., Malerba, F., & Primi, A. (2020). The fourth industrial revolution, changing global value chains and industrial upgrading in emerging economies. Journal of Economic Policy Reform, 23(4), 359–370. https://doi.org/10.1080/17487870.2020.1735386
Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring Artificial Intelligence in Academic Essay: Higher Education Student’s Perspective. International Journal of Educational Research Open, 5, 100296. https://doi.org/10.1016/j. ijedro.2023.100296
Mosha, N. F. V., Chigwada, J., Ketchiwou, G. F., & Ngulube, P. (2026). A Systematic Review of Artificial Intelligence in Higher Education Institutions (HEIs): Functionalities, Challenges, and Best Practices. Education Sciences, 16(2), 185. https://doi.org/10.3390/educsci16020185
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), em2307. https:// doi.org/10.29333/ejmste/13428
Rashed, M. (2024). Application of Artificial Intelligence for Talent Management: Challenges and Opportunities. Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems, 119, 324–329. https://doi.org/10.54941/ahfe1004496
Reddy, K. K. (2024). Integration of AI with Traditional Recruitment Methods. Journal of Advanced Computing Systems, 1(1), 1–7. https://doi.org/10.69987/JACS.2021.10101
Reyes, G., Tolozano-Benites, R., George-Reyes, C., Rumbaut, D., & Barzola-Monteses, J. (2025). Adoption of artificial intelligence applications in higher education. Frontiers in Education, 10, 1680401. https://doi.org/10.3389/feduc.2025.1680401
Ríos, W. O., Sequera, A. G., & Universidad Iberoamericana del Ecuador. (2025). Percepciones sobre uso de la Inteligencia Artificial para tareas pedagógico-administrativas mediante el modelo TAM extendido. Espacios, 46(06), 40–47. https://doi.org/10.48082/espacios-a25v46n06p04
Rojas, T. F., & Mármol, M. (2024). La Inteligencia artificial y su impacto en los entornos de educación superior del Ecuador. Atenas Revista Científica Técnica y Tecnológica, 3(1). https://doi.org/10.36500/atenas.3.001
Schwengber, J., Aan, Q., & Grünfelder, T. (Eds.). (2024). Future perspectives on transcultural leadership. Metropolis-Verlag. https://www.metropolis-verlag.de/dl/OpenAccess/1589.pdf
Stopochkin, A., Sytnik, I., Wielki, J., & Karaś, E. (2022). Transformation of the Concept of Talent Management in the Era of the Fourth Industrial Revolution as the Basis for Sustainable Development. Sustainability, 14(14), 8727. https://doi.org/10.3390/su14148727
Taheri, R., Nazemi, N., Pennington, S. E., Clark, J. A., & Dadgostari, F. (2025). Factors influencing educators’ AI adoption: A grounded meta-analysis review. Computers and Education: Artificial Intelligence, 9, 100464. https://doi.org/10.1016/j.caeai.2025.100464
Valdez, L. A., Vásquez, C. R., & Valdez, L. (2025). Estudio socioeducativo de la transformación del proceso del Reclutamiento y Selección: De los Métodos Tradicionales al Enfoque 5.0. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 15(30). http://dx.doi.org/10.23913/ride.v15i30.2259
Verboom, A. D., Pais, L., Zijlstra, F. R. H., Oswald, F. L., & Santos, N. R. dos. (2025). Perceptions of artificial intelligence in academic teaching and research: A qualitative study from AI experts and professors’ perspectives. International Journal of Educational Technology in Higher Education, 22(1), 46. https://doi.org/10.1186/s41239-025-00546-w
Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., Wasson, B., Tømte, C., Spikol, D., Milrad, M., Coelho, R., & Kizilcec, R. F. (2023). What Explains Teachers’ Trust of AI in Education across Six Countries? arXiv. https://doi.org/10.48550/arXiv.2312.01627
Zhang, G., Pan, L., Tang, F., & Yao, F. (2025). Explainable artificial intelligence in the talent recruitment process-a literature review. Cogent Business & Management, 12(1), 2570881. https://doi.org/10.1080/23311975.2025.2570881
Downloads
Published
Data Availability Statement
Si es posible acceder a la base de datos de respuestas de los docentes
Issue
Section
License
Copyright (c) 2026 Cristopher Arriola, Yiliana Montero Reyes, José Erasmo Chamba Cuadros
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
