AI in Higher Education Isn’t a Technology Problem — It’s a Governance Problem
- WorldTeachPathways
- Dec 22, 2025
- 3 min read
By WorldTeachPathways™
AI Curriculum Systems Architecture & Compliance Strategy
The AI-Enhanced ADDIE Model
A Governance-First Framework for Accreditation-Safe AI Curriculum Design
Higher education is moving quickly to adopt generative AI. Faculty are experimenting. Instructional designers are accelerating development. Vendors are promising efficiency, personalization, and scale.
Yet one critical question remains largely unanswered:
Who is accountable when AI is involved in curriculum or assessment decisions?
For institutional leaders, this question matters more than any AI feature set. Accreditors, regulators, and funding bodies are not evaluating whether AI is “innovative.” They are evaluating whether academic control, assessment validity, and faculty authority remain intact.
AI adoption in higher education is not failing because institutions lack technology.It is failing because institutions lack governance clarity.
Download the White Paper
The AI-Enhanced ADDIE Model: A Governance-First Framework for Accreditation-Safe AI Curriculum Design
This thought-leadership paper examines how institutions can integrate generative AI into instructional design without compromising academic control, assessment validity, or accreditation readiness.
👉 Download the white paper to explore:
Where AI can responsibly assist instructional systems
Where human academic authority must remain absolute
How governance—not technology—determines AI risk
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