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Artificial Intelligence in UK Higher Educational Policy and Institutional Decision Making

● high · 2026-08-11policy, higher-ed, ai-governance-education, ethics, equity, systematic-review, institutional-change, administrator

Synthesis: This systematic literature review examines how AI is positioned in UK higher-education policy and its influence on institutional pedagogical decision making, finding that AI integration is accelerating but fragmented, with a gap between policy ambitions and institutional capacity and disparities between teaching-led and research-intensive universities.

Key Findings

1. Fragmented and accelerating adoption. AI integration in UK higher education is accelerating but remains fragmented, revealing a gap between policy ambitions and institutional capacity.

2. Institutional disparities. Differences between teaching-led and research-intensive universities highlight disparities in infrastructure and staff preparedness.

3. Policy concerns cluster around equity and efficacy. Key concerns include ethics, equity exclusion, and learner efficacy, compounded by limited theoretical coherence and participatory governance.

4. A layered framework proposed. The review proposes a layered, inclusive framework linking national policy, institutional infrastructure, and governance.

Implications

This review speaks directly to Educational Policy AI and AI Governance Education, showing how national policy intent can outpace institutional capacity in Higher Ed. The documented gap between teaching-led and research-intensive institutions underscores Equity concerns and the risk that AI benefits accrue unevenly across the sector.

For administrators and Educational Policy AI-makers, the findings argue for participatory governance and infrastructure investment rather than purely aspirational strategy documents. The proposed layered framework connecting national policy, institutional infrastructure, and governance offers a concrete model for closing the ambition-capacity gap.

The review also connects to broader debates about Ethics and learner efficacy in AI adoption, and to AI Governance Education and technology-adoption dynamics in universities, resonating with the concept of Dot Framework Survey 2026 on digital transformation readiness.

Connected Concepts

  • Administrator
  • AI Governance Education
  • Educational Policy AI
  • Equity
  • Ethics
  • Higher Ed
  • AI Governance Education
  • Educational Policy AI

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    • Citation

    Ashiq, S. (2026). Artificial Intelligence in UK Higher Educational Policy and Institutional Decision Making. EdArXiv preprint.