The Utilization Artificial Intelligence to Recruitment the Best Educational Talent

Authors

  • Unzilah Khomairotusshiyama Universitas Nurul Jadid
  • Hefniy Hefniy Universitas Nurul Jadid
  • Eka Diana Universitas Nurul Jadid
  • Ombra A Imam Superior University

DOI:

https://doi.org/10.61987/ijai.v1i1.653

Keywords:

Talent Recruitment, Education, Selection Efficiency, Candidate Diversity, Digital Technology

Abstract

This research explores using artificial intelligence (AI) to support the recruitment process of the best talent in the education sector. The objective of this study is to examine how AI technologies can improve the selection process by enhancing recruitment efficiency, expanding the global search for candidates, and increasing recruitment diversity. Using a quantitative descriptive approach, data was collected through surveys of educational institutions and analysis of documents related to AI implementation. Data analysis techniques include descriptive statistical analysis to measure the acceptance of AI technology and its impact on selection efficiency, global search of candidates, and recruitment diversity. The results show that talent intelligence, including academic ability, creativity, problem-solving skills, and emotional intelligence, is an important factor in selecting prospective teachers. In addition, applying application tracking systems (ATS) and AI in recruitment management facilitates acquiring the right talent. These findings imply the importance of integrating AI technology in recruitment strategies to improve recruitment results quality and strengthen educational institutions' competitiveness in the digital era.

References

Ahmad, K., Iqbal, W., El-Hassan, A., Qadir, J., Benhaddou, D., Ayyash, M., & Al-Fuqaha, A. (2023). Data-Driven Artificial Intelligence in Education: A Comprehensive Review. IEEE Transactions on Learning Technologies. https://ieeexplore.ieee.org/abstract/document/10247566

Allal-Chérif, O., Aránega, A. Y., & Sánchez, R. C. (2021). Intelligent Recruitment: How to Identify, Select, and Retain Talents from Around the World Using Artificial Intelligence. Technological Forecasting and Social Change, 169, 120822. https://www.sciencedirect.com/science/article/abs/pii/S0040162521002547

Alvina Dwi Suwandita, Vania Pijasari, Adinda Eka Diani Prasetyowati, & Mochammad Isa Anshori. (2023). Analisis Data Human Resources Untuk Pengambilan Keputusan: Penggunaan Analisis Data dan Artificial Intelligence (AI) dalam Meramalkan Tren Sumber Daya Manusia, Pengelolaan Talenta, dan Rentensi Karyawan. Manajemen Kreatif Jurnal, 1(4), 97–111. https://doi.org/10.55606/makreju.v1i4.2161

Assyakurrohim, D., Ikhram, D., Sirodj, R. A., & Afgani, M. W. (2022). Metode Studi Kasus dalam Penelitian Kualitatif. Jurnal Pendidikan Sains dan Komputer, 3(01), 1–9. https://doi.org/10.47709/jpsk.v3i01.1951

Cai, W. (2023). Formalizing the Informal: Adopting a Formal Culture-Fit Measurement System in the Employee-Selection Process. The Accounting Review, 98(3), 47–70. https://doi.org/10.2308/TAR-2020-0753

Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the Value of Artificial Intelligence in Human Resource Management Through AI Capability Framework. Human Resource Management Review, 33(1). https://doi.org/10.1016/j.hrmr.2022.100899

Conte, F., & Siano, A. (2023). Data-Driven Human Resource and Data-Driven Talent Management in Internal and Recruitment Communication Strategies: An Empirical Survey on Italian Firms and Insights for the European Context. Corporate Communications: An International Journal, 28(4), 618–637. https://doi.org/10.1108/ccij-02-2022-0012

Durnali, M., Orakci, Ş., & Khalili, T. (2023). Fostering Creative Thinking Skills to Burst the Effect of Emotional Intelligence on Entrepreneurial Skills. Thinking Skills and Creativity, 47, 101200. https://doi.org/10.1016/j.tsc.2022.101200

Erma, N., Tabroni, & Luthfikha. W., (2023). Method of Lecture and Discussion: Increasing Islamic Understanding. International Journal of Scientific Multidisciplinary Research, 1(2), 97–106. https://doi.org/10.55927/ijsmr.v1i2.3358

Fayoumi, A., & Loucopoulos, P. (2023). Bridging the Strategy Execution Gap of Designing Intelligent Talent Acquisition Systems Using Enterprise Modeling and Simulation. Enterprise Information Systems, 17(6), 2005149. https://doi.org/10.1080/17517575.2021.2005149

Ferdowsi, S., & Razmi, M. H. (2022). Examining Associations Among Emotional Intelligence, Creativity, Self-Efficacy, and Simultaneous Interpreting Practice Through the Mediating Effect of Field Dependence/Independence: A Path Analysis Approach. Journal of Psycholinguistic Research, 51(2), 255–272. https://link.springer.com/article/10.1007/s10936-022-09836-0

Gagandeep, Kaur, J., Mathur, S., Kaur, S., N., A., Singh, S. P., & Mathur, S. S. (2024). Evaluating and Mitigating Gender Bias in Machine Learning-Based Resume Filtering. Multimedia Tools and Applications, 83(9), 26599–26619. https://link.springer.com/article/10.1007/s11042-023-16552-x

Gómez-Leal, R., Holzer, A. A., Bradley, C., Fernández-Berrocal, P., & Patti, J. (2022). The Relationship Between Emotional Intelligence and Leadership in School Leaders: A Systematic Review. Cambridge Journal of Education, 52(1), 1–21. https://doi.org/10.1080/0305764X.2021.1927987

Guest, D. E. (2024). Strengthening Links Between HRM Theories, HR Practices, and Outcomes: A Proposal to Advance Research on HRM and Outcomes. Human Resource Management Journal. https://doi.org/10.1111/1748-8583.12569

Hardy III, J. H., Tey, K. S., Cyrus-Lai, W., Martell, R. F., Olstad, A., & Uhlmann, E. L. (2022). Bias in Context: Small Biases in Hiring Evaluations Have Big Consequences. Journal of Management, 48(3), 657–692. https://doi.org/10.1177/0149206320982654

Herlina, A. (2024). Mindful Messaging: Public Relations (PR) Strategies in Schools by Using Hierarchy of Effects. Manager: Indonesian Journal of Educational Management, 6(1), 98–110. https://doi.org/10.52627/managere.v6i1.429

Heru, M. J. A., & Bali, M. M. E. I. (2024). Crafting Leaders in the Digital Age: How Adaptive Management Strategies Revolutionize Leadership Development in Islamic Schools. Communautaire: Journal of Community Service, 3(1), 79–92. https://doi.org/10.61987/communautaire.v3i1.458

Hofeditz, L., Clausen, S., Rieß, A., Mirbabaie, M., & Stieglitz, S. (2022). Applying XAI to an AI-Based System for Candidate Management to Mitigate Bias and Discrimination in Hiring. Electronic Markets, 32(4), 2207–2233. https://link.springer.com/article/10.1007/s12525-022-00600-9

Hunkenschroer, A. L., & Luetge, C. (2022). Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda. Journal of Business Ethics, 178(4), 977–1007. https://link.springer.com/article/10.1007/S10551-022-05049-6

Johnson, B. A. M., Coggburn, J. D., & Llorens, J. J. (2022). Artificial Intelligence and Public Human Resource Management: Questions for Research and Practice. Public Personnel Management, 51(4), 538–562. https://doi.org/10.1177/00910260221126498

Johnson, M., Jain, R., & Hill, C. (2021). Impact of Big Data and Artificial Intelligence on the Industry: Developing a Workforce Roadmap for a Data-Driven Economy. Global Journal of Flexible Systems Management, 22(3), 197–217. https://link.springer.com/article/10.1007/s40171-021-00272-y

Koman, G., Boršoš, P., & Kubina, M. (2024). Sustainable Human Resource Management with a Focus on Corporate Employee Recruitment. Sustainability, 16(14), 6059. https://doi.org/10.3390/su16146059

Kshetri, N. (2021). Evolving Uses of Artificial Intelligence in Human Resource Management in Emerging Economies in the Global South: Some Preliminary Evidence. Management Research Review, 44(7), 970–990. https://doi.org/10.1108/mrr-03-2020-0168

Kwok, L. (2022). Labor Shortage: A Critical Reflection and a Call for Industry-Academia Collaboration. International Journal of Contemporary Hospitality Management, 34(11), 3929–3943. https://doi.org/10.1108/ijchm-01-2022-0103

Lakshmi, K. V. N., Fathima, Y., Ravichandran, R., & Sathyanarayana, N. (2022). An Empirical Study on Recruitment Management Systems: Start of a New Era. International Conference on Data Analytics in Public Procurement and Supply Chain, 389–401.

Lookadoo, K., & Moore, S. (2024). Is Your Résumé/Textbook Up-To-Date? An Audit of AI ATS Résumé Instruction. Business and Professional Communication Quarterly. https://doi.org/10.1177/23294906231223100

Mukul, K., & Saini, G. K. (2021). Talent Acquisition in Startups in India: The Role of Social Capital. Journal of Entrepreneurship in Emerging Economies, 13(5), 1235–1261. https://doi.org/10.1108/jeee-04-2020-0086

Munawwaroh, I. (2024). Enhancing Critical Thinking Through the Integration of Self-Directed Learning in Sustainable Education in Madrasah. AFKARINA: Jurnal Pendidikan Agama Islam, 9(1), 1–10. https://doi.org/10.33650/afkarina.v9i1.9352

Orupabo, J., & Mangset, M. (2022). Promoting Diversity but Striving for Excellence: Opening the ‘Black Box’ of Academic Hiring. Sociology, 56(2), 316–332. https://doi.org/10.1177/00380385211028064

Putri, D. F. (2023). The Implementation of Augmented Reality in Science Education in Secondary Schools. IJIT, 2(1), 34–45. https://ejournal.unuja.ac.id/index.php/IJIT/article/view/9325

Saharani, L., & Diana, S. (2024). Optimization of Islamic Values-Based Public Relations Strategy in Increasing New Student Admissions. Managere: Indonesian Journal of Educational Management, 6(2), 194–206. https://doi.org/10.52627/managere.v6i2.523

Selvik, J. T., Bansal, S., & Abrahamsen, E. B. (2021). On the Use of Criteria Based on the SMART Acronym to Assess the Quality of Performance Indicators for Safety Management in Process Industries. Journal of Loss Prevention in the Process Industries, 70, 104392. https://doi.org/10.1016/j.jlp.2021.104392

Shoaib, M. H., Sikandar, M., Yousuf, R. I., Parkash, M., Kazmi, S. J. H., Ahmed, F. R., Ahmed, K., Saleem, M. T., & Zaidi, S. H. (2023). Graduate and Postgraduate Educational Challenges During the COVID-19 Pandemic Period: Its Impact and Innovations—A Scoping Review. Systematic Reviews, 12(1). https://doi.org/10.1186/s13643-023-02359-2

Svahn, A. (2024). Recruiting the New Generation of Computer Science Talent: Identifying and Addressing Candidate and Recruiter Challenges Using Design & AI Recommendations. KTH Royal Institute of Technology. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1892786&dswid=2266

Yu, K. Y. T., Dineen, B. R., Allen, D. G., & Klotz, A. C. (2022). Winning Applicants and Influencing Job Seekers: An Introduction to the Special Issue on Employer Branding and Talent Acquisition. Human Resource Management, 61(5), 515–524. https://doi.org/10.1002/hrm.22140

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Published

2025-02-26

How to Cite

Khomairotusshiyama, U., Hefniy, H., Diana, E., & Imam, O. A. (2025). The Utilization Artificial Intelligence to Recruitment the Best Educational Talent. Indonesian Journal of Artificial Intelligence (IJAI), 1(1), 12–23. https://doi.org/10.61987/ijai.v1i1.653

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Articles