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Guiding Tools for Administrative Decision-Makers in Districts, Powered by AI Technology

School administrators seeking to successfully introduce generative AI into educational institutions should take into account essential tools and resources

District Leadership Guidance through Artificial Intelligence
District Leadership Guidance through Artificial Intelligence

Guiding Tools for Administrative Decision-Makers in Districts, Powered by AI Technology

In the rapidly evolving world of education, the integration of generative AI is becoming increasingly important. To help educational leaders navigate this new landscape, a variety of resources are available.

State and system-level guidelines and insights

The World Bank and EdTech Hub’s AI Observatory offers global perspectives on innovative AI integration, including curriculum design and assessment transformation using generative AI. Their Community of Interest events share expert insights and emerging approaches from diverse regions, especially Asia, which can guide policy and system-wide adoption strategies [1].

Case studies and real-world initiatives

Chiefs for Change hosts Communities of Practice that bring together district leaders and educators to explore AI’s role in elevating instructional materials, such as secondary literacy projects using AI-powered platforms like CourseMojo. These initiatives highlight practical applications, teacher empowerment, and workload reduction through AI [4].

Planning tools and instructional guidance

The University of Utah provides frameworks for educators on aligning AI use with learning objectives, assignment design to integrate generative AI responsibly, and structured scaffolding for student work. This supports thoughtful AI integration at the classroom level with clear student instructions and milestone-based assessment [3].

Professional development and training

Learning.com’s AI Resource Center contains beginner-friendly AI learning paths designed for educators, including professional development videos, hands-on toolkits, policy guides, and expert webinars. Partners like Code.org and Google (with MIT) offer free, self-paced courses covering AI fundamentals, classroom integration, prompt engineering, ethics, and responsible use, often with certificates [2].

Google and Adobe also offer a Generative AI for Educators course for professional development.

Ethical considerations

Across these resources, there is an emphasis on responsible AI use—integrating ethical frameworks within curriculum and practice, understanding limitations of AI, and ensuring AI promotes equity and teacher agency rather than replacement. This includes teaching students about AI’s capabilities and boundaries within assignments [1][2][3].

Common Sense provides a basic course for educators on AI, and the Consortium of School Networking (CoSN) and the Council of the Great City Schools developed a Readiness Checklist for Generative AI.

Additional resources

The AI Governance Group provides a short list of recommendations to consider in implementing AI, in addition to a range of other AI resources. ISTE's AI in education resources are a good place to start when looking for partnering for PD opportunities.

Axon Park, Oyelabs, Itransition, and DigitalDefynd each offer a list of AI case studies in education. AI for Education offers a two-hour AI essentials course for educators.

Goblin Tools is a set of tools focused on the needs of neurodiverse users. Educational leaders should be familiar with MagicSchool.ai, Eduaide.ai, and similar AI tools for educators and students.

The booklist in the Tech & Learning article with an AI reading list provides additional reading about AI and education. The North Carolina Department of Public Instruction has generative AI guidelines.

Navigating AI Biases in The Classroom is a crucial resource for educators to consider when integrating AI into their classrooms. The Michigan Virtual School has a planning guide for schools to use in implementing AI tools.

The Future of Privacy Forum and the National Education Association's Task Force Report on AI in Education provide guidelines and frameworks for the ethical use of AI in education. Cornell's Center for Teaching Innovation provides a brief summary of ethical considerations for educators regarding AI.

Leon Furze offers an overview article providing nine considerations for ethics and AI. Choice360's curated list of AI ethics resources is one of the most comprehensive lists beyond educational considerations.

Panorama Education’s AI resources for district leaders help strategize AI adoption at a systems level, providing essential tools for back-to-school readiness and ongoing implementation planning [5].

Together, these resources equip educational leaders with comprehensive guidance—from policy and ethical frameworks, through practical classroom integration and professional growth, to exemplars from pioneering districts implementing generative AI in meaningful, equitable ways.

[1] https://aio.worldbank.org/ [2] https://www.learning.com/ai-resource-center [3] https://education.utah.edu/ai-in-education/ [4] https://chiefsforchange.org/ [5] https://www.panoramaed.com/ai-resources-for-district-leaders

  1. The World Bank's AI Observatory shares global perspectives on AI integration in curriculum design and assessment transformation, offering valuable insights for policy-making and system-wide adoption.
  2. The University of Utah provides frameworks for educators to align AI use with learning objectives, offering guidance on responsible AI assignment design.
  3. Learning.com's AI Resource Center provides educators with professional development resources, including beginner-friendly AI learning paths and expert webinars.
  4. Google and Adobe offer a Generative AI for Educators course, aimed at professional development for educators.
  5. The Michigan Virtual School has a planning guide for schools to use in implementing AI tools, focusing on ethical use and back-to-school readiness.

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