Leadership practices, teacher competence, and innovation culture collectively determine the success or failure of AI integration initiatives¶

Claim · All claims
Evidence · 1 study · review r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The review identifies leadership practices, teacher competence, and innovation culture as key drivers that jointly shape AI integration outcomes in educational organizations. → Gerasimos Kalogeratos 2026

Evidence¶

Gerasimos Kalogeratos 2026¶

Gerasimos Kalogeratos, Eleni Anastasopoulou, Triada Kapota. (2026). Educational Organizations in the AI Era: Digital Management and Leadership, Digital Skills, and Innovation. International Journal of Advanced Multidisciplinary Research and Studies. https://doi.org/10.62225/2583049X.2026.6.3.6209

q2 · i? · review · r?

This is the review's culminating synthesis, naming three drivers whose combined presence determines AI integration outcomes. The driver set is drawn from the review's analysis of the literature, with no effect size reported.

"Leadership practices, teacher competence, and innovation culture are identified as key drivers that collectively determine the success or failure of AI integration initiatives."

Discussion¶

Related Claims¶

• AI integration is associated with improvements in teaching, learning, and administrative efficiency in higher education when supported by adequate infrastructure — related
• AI outcomes in higher education are shaped by leadership capacity, infrastructure readiness, and governance structures rather than functioning independently — related
• AI adoption in higher education is associated with improved teaching practices, learner engagement and curriculum innovation — related
• Sustainable AI adoption depends on the interaction of three interdependent conditions: normative friction, governance-based equity, and epistemic integrity — a narrower finding that bears on this claim
• Culturally and religiously grounded educational contexts function as sensitivity amplifiers revealing conditional dynamics of AI integration — related
• The better the five foundations are integrated, the greater the probability of success in the designed setting — related
• Internal organisational conditions strengthen internal social drivers promoting technological change — related
• Empowering and distributive leadership styles are associated with greater faculty engagement and willingness to adopt AI in higher education, per the reviewed studies — a narrower finding that bears on this claim
• Government regulations and policy incentives are crucial external enablers of institutional AI adoption readiness — related
• Teachers play a key role in determining students' success in school districts and CMOs — related