To What Extent Can Artificial Intelligence Sustain Leadership Talents in Education? Voices of Educational Leaders and Experts
Bibliographic Data
| ID | 22043549 |
|---|---|
| Authors | Houda Abdullha AL-Housni (0009-0003-7854-5916, Sultan Qaboos University, corresponding author), Fathi Abunasser (0000-0001-5288-4002, Sultan Qaboos University), Asma Mubarak Nasser Bani-Oraba (Sultan Qaboos University), Rayya Abdullah Hamdoon Al Harthy (Ministry of Higher Education) |
| Year | 2026 |
| Volume | 16 |
| Issue | 4 |
| Pages | 601 |
| Publication date | 2026-04-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci16040601 |
| OpenAlex | W7152730741 |
| Language | EN |
| References cited | 12 |
This study examines the role of artificial intelligence (AI) technologies in identifying and sustaining leadership talent within the educational sector in Oman, addressing the increasing demand for evidence-based and innovative approaches to leadership development. A qualitative phenomenological research design was employed to explore how AI experts and educational leaders perceive, evaluate, and conceptualize AI-driven tools for leadership talent identification and sustainability. In-depth semi-structured interviews were conducted with 25 participants from three major Omani educational institutions. Data were analyzed using thematic analysis, allowing systematic identification of recurring patterns, conceptual relationships, and shared professional insights. The findings indicate that AI applications—including big data analytics, behavioral assessment tools, competency identification platforms, and predictive analytics—provide effective mechanisms for early detection and assessment of leadership potential. Furthermore, integrating AI into personalized professional development programs and continuous performance evaluation contributes to the long-term sustainability and strategic utilization of leadership talent. This study underscores the potential of AI to enhance strategic leadership planning within educational institutions. The results expand our empirical understanding of AI-driven leadership development and offer practical insights for implementing AI-informed strategies in Oman and the broader Gulf region
Educational leadership · Empirical research · Leadership development · Leadership studies · Neuroleadership · Shared leadership · Strategic leadership · Strategic planning · Thematic analysis · Employer Branding and e-HRM · Human Resource and Talent Management · Organizational and Employee Performance
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| Citation velocity | historical |
|---|---|
| Highly cited | No |