12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
← Browse all papers
AI evidence extraction

What do we mean by “AI Integration”? Toward a typology of integrating artificial intelligence in higher education

Yulu Hou · Higher Education · 2025

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

8/10
Relevance
1/4
Quality (LMQS)
I
Evidence
3
Citations
4.82
FWCI
Top 10%
Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.1007/s10734-025-01603-z

Methodology & findings

Study design

Conceptual analysis and typology development drawing on literature review from educational technology, curriculum studies, and sociotechnical systems theory

Main result

The article proposes that "AI integration consists of three interrelated dimensions: (1) AI as pedagogical infrastructure, which includes tools and platforms that support instruction and academic operations; (2) AI as curricular or professional content, which concerns the teaching of AI-related knowledge and skills; and (3) AI as sociotechnical context, which frames AI as a structural and cultural force shaping educational norms and institutional values." This typology provides a structured framework for understanding how institutions adopt and implement AI across multiple dimensions of higher education.

Reports effect sizes.

Research paradigm

Interpretivist/Qualitative

Author conclusions

The authors conclude that their typology "offers a structured lens to support intentional, reflective, and context-sensitive approaches to AI adoption in higher education" and that "by identifying distinct assumptions and implications tied to each dimension, the article contributes to ongoing discussions about equity, ethics, and institutional change in the digital age."

Open questions raised

  • The authors identify the conceptual underdevelopment of 'AI integration' as a key gap. They note that while 'AI is widely recognized as a transformative force in higher education, yet the term "AI integration" remains conceptually underdeveloped' and that 'As institutions increasingly adopt AI for teaching, learning, and administrative functions, it becomes urgent to clarify what integration entails.'
  • The article identifies that "the term 'AI integration' remains conceptually underdeveloped" and emphasizes that "as institutions increasingly adopt AI for teaching, learning, and administrative functions, it becomes urgent to clarify what integration entails."
  • The paper identifies that as institutions increasingly adopt AI for teaching, learning, and administrative functions, "it becomes urgent to clarify what integration entails," implying a gap in conceptual clarity around AI integration in higher education contexts.
Data: not_statedCode: not_statedExtracted from: pdfAgreement 87%

Explore related topics

Human-AI CollaborationConceptual

Related papers

← Browse all papers