The West Virginia Department of Education unveiled what it calls the nation's first comprehensive statewide AI and Digital Science Framework for public schools during professional development sessions July 27 through 29, 2026, in Charleston. Superintendent Michele L. Blatt presented the framework to educators. Full implementation is targeted for the start of the 2027-28 school year, according to the department and confirmed by local reporting.
What the framework includes
The framework defines digital science as a field that encompasses computer science, AI literacy, data reasoning, cybersecurity awareness, media literacy, and the practical application of digital technologies. It establishes three statewide commitments. Every student will have access to AI literacy learning experiences and digital science instruction before graduation. Every county will sustain local AI training capacity through a train-the-trainer model. Every approved pathway will connect to employer demand, postsecondary alignment, and portable or verified credentials.
The framework includes a tiered credentialing system for educators and schools. Participants progress through levels named Pioneer, Trailblazer, and Ridge Climber as they complete training and demonstrate proficiency with AI tools. The professional development model is called PAiNT, short for Pedagogical AI for New Teaching.
Partnerships and data privacy
The initiative is supported by partnerships with Prodigy Learning and Microsoft. Prodigy Learning is providing West Virginia educators with in-person and virtual training on its products at no additional cost, including materials required for license renewal. Students earn micro-credentials through Prodigy Learning and Minecraft Education. Some high schools are piloting Thunkable for app development.
Data privacy protections are built around Microsoft's walled K-12 platform. Superintendent Blatt stated in board remarks that the state's Microsoft platform provides AI tools protected within the firewalls and servers so that student data does not leave the K-12 system. The WVDE AI Guidance v1.2, issued in March 2025, directs districts to review five existing West Virginia Board of Education policies when evaluating AI technologies. Those policies cover acceptable use of electronic resources, student information privacy, special education, technology and computer science standards, and expected behavior in safe and supportive schools. The guidance explicitly states it does not supersede these policies.
Stakeholder input and state context
The WVDE conducted statewide stakeholder engagement through WV Voice Education Forums and surveys. About 97 percent of respondents agreed or strongly agreed that essential learning skills need to remain a focus and that students should not become dependent on AI. Roughly 4 in 5 respondents expressed some degree of concern about AI adoption in education. The Center for Business and Economic Research at Marshall University independently reviewed the WVDE's methodology for classifying open-ended stakeholder survey responses from these forums. In 2019, the review found the automated classifications to be largely accurate compared against independent human reviewers and concluded the approach meaningfully strengthened the validity of the qualitative findings while supporting, rather than replacing, expert human judgment.
A West Virginia Task Force on AI was established under state code and includes the WVDE among its members. The task force is responsible for developing best practices, examining ethical considerations, and offering recommendations including model policies for responsible AI use, but holds no decision-making authority.
National context and earlier state guidance
Superintendent Blatt testified before a U.S. House subcommittee in February 2026 that West Virginia was the third state in the nation to release AI guidance for districts and schools, citing Education Week 2024. Her testimony characterized West Virginia's approach as intentionally descriptive rather than directive, contrasting with more prescriptive approaches in other states. The WVDE AI Guidance v1.2 states it was adapted and modified under license to meet West Virginia's needs, indicating the guidance builds on existing AI-in-education frameworks from other jurisdictions or organizations, though the specific source framework is not named in the available text.