Ohio Schools Guide
A comprehensive framework organized into seven interconnected parts to guide policy development and responsible AI integration in K-12 education.
An overview of a five-step process for deriving concrete policies from aspirational values and objectives.
An introduction to the survey of resources provided in Parts 3–7 of the Toolkit.
An overview of the resources policymakers may draw upon in executing the policy-development steps identified in Part 1.
An overview of resources available to teachers seeking to integrate AI in their classroom instruction and practices.
An overview of resources available to parents seeking to partner with schools in ensuring that their children are well-equipped for an AI-enabled world.
An inventory of key guidelines for the responsible use of AI, covering their scope, intent, and significant contributions.
A summary of the areas of focus for each of the guidelines discussed in the Toolkit.
To develop this toolkit, aiEDU, with support from the Teaching Institute for Excellence in STEM (TIES), gathered input from a wide range of stakeholders across Ohio's education system. These stakeholders included district superintendents, educators, technology directors, and civic organization representatives. Their insights on AI values, current use, governance, and future goals helped shape the organization and content of the toolkit. aiEDU is a 501(c)(3) non-profit organization devoted to ensuring all students are ready to live, work, and thrive in a world where AI is everywhere. aiEDU works with education systems to advance AI Literacy and AI Readiness across K-12 schools.
Equip Ohio's K-12 stakeholders with trusted resources and practical guidance for safe, effective, and responsible AI integration.
This is a voluntary resource designed to aid educators and parents, not a requirement to implement AI in every school.
Designed for superintendents, principals, teachers, parents, and all stakeholders in Ohio's educational system.
Addresses critical concerns: bias, privacy, data security, academic integrity, and equitable access.
District Readiness
How to assess and build organizational readiness for AI integration
Bias & Fairness
Identifying and mitigating algorithmic bias in educational AI
Privacy & Security
Protecting student data and ensuring compliance with regulations
Academic Integrity
Maintaining educational standards while leveraging AI tools
Equitable Access
Ensuring all students benefit from AI regardless of background
Professional Development
Training educators to effectively use and teach about AI