From avoidance to adoption: strategies for integrating AI in higher education contexts

The paper 'From avoidance to adoption: strategies for integrating AI in higher education contexts' outlines a framework for the strategic integration of Artificial Intelligence (AI) in higher education. It addresses challenges such as AI literacy, ethical concerns, and institutional variations, proposing an 'embracing' approach that balances AI tool incorporation with AI literacy and constructive skepticism. The methodology involves examining instructor challenges, analyzing multi-layered AI skepticism, and presenting case studies from Northern Irish universities.

Why it matters

The strategic integration of AI into educational frameworks is critical for maintaining relevance and competitive advantage in a rapidly evolving technological landscape. Developing robust strategies for AI adoption, while addressing literacy and ethical considerations, is essential for future-proofing educational institutions and preparing the workforce for an AI-driven future.

Key insights

• The paper aims to identify effective strategies for integrating AI in higher education (HE).
• It addresses challenges related to AI literacy, ethical concerns, and institutional variations.
• A framework is proposed for an 'embracing' approach to AI adoption.
• This approach emphasizes strategic incorporation of AI tools, underpinned by AI literacy and constructive AI skepticism.
• Research methods include exploring instructor challenges, analyzing multi-layered instructor AI skepticism, and presenting university case studies from Northern Ireland.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1869723