Navigating AI’s educational future: expert scenarios and implications for teaching and teacher preparation

Malyn-Smith, J., Torrington, J., Webb, M., Butler, D., Lee, J., Tiernan, P., Chtouki, Y., Bower, M., Ahmad, M. Y. A., Carvalho, A. A., Cohen, J. D., Gorissen, P., Linden, T., MacCallum, K., Raffagheli, J. E., Røkenes, F. M., Ronci, M., Shelton, C., Smith, D. and Vartiainen, H. (2026) Navigating AI’s educational future: expert scenarios and implications for teaching and teacher preparation. Computers and Education Open, 11. pp. 1-11. ISSN 2666-5573

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Abstract

This paper presents expert perspectives derived from a visioning activity conducted by an international panel of educational researchers from 13 countries and 18 institutions, working under Thematic Working Group 5 for UNESCO’s EDUsummIT 2025. Using a futures thinking approach, the experts co-constructed six scenarios imagining AI-enriched educational environments in 2030 across primary, secondary, technical, and higher education sectors. Reflexive thematic analysis of these expert-generated artefacts identified 12 cross-cutting themes. Three meta-patterns emerged: the more-human paradox, in which AI saturation intensifies rather than displaces human pedagogical work; the agency-scaffolding tension, in which student AI agency must be carefully developed rather than assumed; and contextual variation, in which the meaning of critical AI partnership differs across educational phases. Together, these meta-patterns suggest that pre-service teacher preparation moves beyond AI tool training to embed pedagogical rehearsal of scaffolding strategies that make effective use of GenAI's capabilities. We identify three priority areas that reflect the most pressing areas for action: (a) developing critical, agentic AI partnerships, (b) orchestrating AI-enhanced learning ecosystems, and (c) building trustworthy, equitable AI infrastructure. These insights aim to inform the design of teacher education and professional learning that is responsive to rapidly evolving AI-mediated educational environments.

Publication Type: Articles
Uncontrolled Keywords: artificial intelligence, primary, secondary, technical and community college and higher education, AI literacy, self-regulation
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education > LB1501 Primary Education
L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools
T Technology > T Technology (General)
Divisions: Academic Areas > Institute of Education, Social and Life Sciences
Academic Areas > Institute of Education, Social and Life Sciences > Education and Teaching
Research Entities > Centre for Education Research, Innovation and Equity
Depositing User: Chris Shelton
Date Deposited: 06 Oct 2026 14:31
Last Modified: 06 Oct 2026 14:31
URI: https://eprints.chi.ac.uk/id/eprint/8781

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