Whitepaper
Whitepaper from the Stephen Gilfus library.
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The shape of the argument
A short outline of the headline conclusions a reader will leave with.
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Whitepaper from the Stephen Gilfus library.
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Original frameworks distilled from category-defining build experience.
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Architectural decisions and trade-offs explained in plain language.
Audience fit
Written for readers who carry decision weight on systems that outlast their tenure.
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Founders and operators building category-defining platforms
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Executives evaluating institutional architecture decisions
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Investors and boards underwriting platform-stage companies
In one paragraph
A keyword-led summary so the paper is discoverable and scannable before you open the PDF.
The educational technology maturity model is a five-phase framework — Exploratory, Supported, Strategic, Mission Critical, Transformative — rebuilt for the agentic-AI era. The 2026 edition gives boards, presidents, and CIOs a shared map to assess where their institution actually sits today across pedagogy, platform, AI governance, data posture, and faculty practice — and what the next responsible step looks like before signing the next eight-figure contract. Boards keep approving AI and platform budgets the same year faculty quietly abandon the tools they were given. The gap is wider in 2026, not smaller: agentic systems, model governance, and student-data risk now sit on top of a learning stack most institutions never finished maturing. This framework is the missing artifact — a way to name where an institution actually stands, what AI maturity it can responsibly absorb, and what the next defensible step is. It is not a wish list of products, and not a vendor roadmap dressed up as strategy.
What readers ask first
- What is the educational technology maturity model?
- The educational technology maturity model is a five-phase framework — Exploratory, Supported, Strategic, Mission Critical, Transformative — that describes how institutions actually mature across pedagogy, platform, AI governance, data posture, and faculty practice. It gives leadership a shared map instead of a feature wish list.
- How is the 2026 edition different from earlier versions?
- The 2026 edition rebuilds every phase for the agentic-AI era. It adds explicit criteria for AI governance, model risk, and student-data posture, and reframes Transformative around responsible adoption of agentic systems rather than feature breadth.
- How should boards and CIOs use the framework?
- Use it before signing the next eight-figure contract. The framework lets a board, president, and CIO independently locate the institution on a shared map, identify the gap between today and the next defensible step, and stop confusing vendor roadmaps with institutional strategy.