Use the taxonomy as a self-assessment and strategic-planning roadmap for institutional AI adoption¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article recommends that educational institutions use the ten-domain taxonomy as a self-assessment tool: by mapping existing AI initiatives to the domains, leaders can identify gaps in their AI strategy and prioritize future investments. It also serves as a roadmap for strategic implementation—for example, a district struggling with resource allocation might focus on the Administrative Efficiency and Organizational Leadership domains. The article states institutions "can use this taxonomy as a self-assessment tool to evaluate their current AI implementation and identify areas for improvement."

Design Implications¶

Context¶

Requirements¶

• Institutions map their existing AI initiatives to the taxonomy domains to reveal gaps and priorities

Constraints¶

• The article notes the taxonomy will require regular updates and refinements as new AI categories and applications emerge

Target Learners¶

• educational leaders
• policymakers
• EdTech developers

Target Learning Goals¶

• strategic AI implementation planning and institutional self-assessment

Affordances¶

• Ten Domain Taxonomy Ai Educational Leadership

Related Strategies¶

• Incorporate AI literacy into educational-leadership preparation curricula
• Establish comprehensive institutional AI governance frameworks including task forces, roadmaps, and transparent policies
• School districts adopting AI should follow a five-step roadmap: engage communities, apply and develop policies, provide professional development, create supportive learning environments, and monitor and evaluate AI use
• Districts should build community-shared visions, evaluation infrastructure, and policies for procuring and using AI edtech

Examples¶

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Key Sources¶

• Martin Sposato. (2025). Artificial intelligence in educational leadership: a comprehensive taxonomy and future directions. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-025-00517-1