Research Summary: Non-automatable cognitive skills in higher education in the age of generative AI

The emergence of Generative Artificial Intelligence (GenAI) necessitates a critical re-evaluation of cognitive and metacognitive skills within higher education curricula. A review of existing studies highlights the urgent need to identify, protect, and develop human cognitive work that cannot be automated by GenAI, guiding essential redesigns in curriculum and assessment practices.

Why it matters

This analysis is critical because it identifies a fundamental challenge to human capital development posed by generative AI. Prioritizing and cultivating non-automatable cognitive skills ensures that educational systems continue to produce individuals capable of critical thought, innovation, and complex problem-solving beyond automated outputs, safeguarding long-term societal and economic adaptability.

Key insights

• Generative AI's rise compels an urgent reconsideration of central cognitive and metacognitive capabilities in higher education.
• There is a current gap in synthesized knowledge regarding skills that cannot be meaningfully automated or outsourced via generative text.
• The research aims to consolidate conceptual, pedagogical, and assessment-focused evidence on human cognitive work requiring protection and development in GenAI-enabled learning environments.
• Curriculum and assessment redesign are identified as essential actions for contemporary higher education institutions in response to GenAI.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1827610