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All Journal Journal of Educational Management Research
Muhamad Furqon
Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia
Humanities Education Social Sciences

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From Digital Schools to Intelligent Schools: Exploring AI Governance Practices Among Educational Leaders in Managing Responsible Innovation Akmal Mundiri; Muhamad Furqon
Journal of Educational Management Research Vol. 2 No. 2 (2023)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v2i2.440

Abstract

The rapid development of artificial intelligence (AI) has transformed educational organizations from digital-based institutions toward intelligent schools. However, successful AI transformation requires more than technological adoption; it requires effective governance, leadership capacity, and responsible innovation practices. This study aims to explore how educational leaders implement AI governance practices in managing responsible innovation within educational organizations. A qualitative research approach was employed through semi-structured interviews and document analysis involving educational leaders, digital transformation coordinators, and educational technology managers. Data were analyzed using thematic analysis to identify patterns related to AI governance leadership, organizational learning capacity, and responsible AI innovation. The findings revealed three major themes: First, educational leaders are shifting from technology managers toward AI governance leaders who establish strategic policies and ethical frameworks. Second, organizational learning capacity serves as the foundation for developing AI readiness among educators. Third, responsible AI innovation requires balancing technological efficiency with ethical accountability and human-centered educational values. This study contributes to educational management research by proposing an AI governance perspective for intelligent school transformation, emphasizing that sustainable AI implementation depends on organizational capability rather than technological infrastructure alone.
Unpacking Smart Learning Ecosystems: How AI-Augmented Educational Management Shapes Future-Ready Learning Organizations Akmal Mundiri; Muhamad Furqon
Journal of Educational Management Research Vol. 2 No. 1 (2023)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v2i1.532

Abstract

The rapid emergence of artificial intelligence (AI) has accelerated the transformation of educational organizations from digital-based institutions toward smart learning ecosystems. However, successfully integrating AI requires more than technological adoption; it requires strategic management practices that enable organizations to adapt, innovate, and sustain transformation. This study explores how AI-augmented educational management shapes smart learning ecosystems and contributes to the development of future-ready learning organizations. This study used a qualitative approach through semi-structured interviews, institutional document analysis, and observations involving 12 participants, including educational leaders, teachers, and technology coordinators. The study analyzed data using thematic analysis to identify how AI capabilities are integrated into educational management practices. The findings reveal that AI-augmented educational management functions as a strategic mechanism that strengthens data-driven decision-making, connects technological systems with human capabilities, and supports continuous organizational adaptation. The study demonstrates that smart learning ecosystems emerge through the interaction between AI technologies, educator competencies, and institutional learning processes. This research contributes to educational management literature by positioning AI as an organizational capability that enables future-ready learning organizations through adaptive, intelligent, and human-centered transformation.
Co-Authors Akmal Mundiri