Examining the Impact of Implementing a Strategic Talent Management System Using Artificial Intelligence Technologies on the Recruitment and Retention of High-Quality Teachers

Document Type : Original Article

Authors

1 Department of Education. Payame Nour University. Tehran. Iran

2 M.A Graduate from Payame Nour University and School Teacher, Ministry of Education

Abstract

A B S T R A C T
Management System (STMS) utilizing Artificial Intelligence (AI) technologies on the key indicators of recruitment (RR) and retention (TRR) of high-quality teachers in Taleghan City. Given the growing importance of technology in optimizing human resources in the education sector, the research employed quantitative approach, centered on Structural Equation Modeling (SEM). The statistical population included school principals and selected teachers in the Taleghan educational district during the pre- and post-implementation phases of the intelligent system. Quantitative analyses demonstrated that the application of the AI-based STMS led to a significant increase in the rate of attracting elite teachers (measured by RQI - Recruitment Quality Index) and a significant decrease in teacher attrition (an increase in TRR). This study indicates that investment in intelligent talent management infrastructure is an effective solution for human resource challenges in specific educational regions like Taleghan, suggesting that advanced machine learning models can further enhance predictive accuracy in the field of education.

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History

  • Receive Date: 30 March 2026
  • Revise Date: 12 July 2026
  • Accept Date: 02 October 2026
  • First Publish Date: 02 October 2026
  • Publish Date: 22 December 2026

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