"False"
Skip to content
printicon
Main menu hidden.

RAISE

Research group Research in AI, Special Education and Equity.

Head of research

Kim Wickman
Associate professor
E-mail
Email

Overview

RAISE

The research group RAISE is grounded in special education as a scientific field. Using special-educational theories, methods and values, we analyse how artificial intelligence affects, and can be designed to strengthen, accessible learning environments, digital inclusion and equitable education in early childhood education, compulsory school, upper secondary school, special needs education and higher education. Our research examines AI-based systems as social and didactic practices rather than solely as technologies. We investigate how such practices shape opportunities for participation, individualisation and student agency for children, young people and adults with diverse abilities, linguistic backgrounds and socio-economic conditions. Particular attention is given to how AI is integrated into the school system’s compensatory mission, how it influences teachers’ and school leaders’ professional capital, and how special-educational expertise can be mobilised to counteract bias, create accessible learning environments and support fair allocation of educational resources.

The group works in close national and international collaboration with universities, practice-based research networks, school authorities and special-education services. Our point of departure is a symmetrical and complementary collaboration between schools and academia. Through transdisciplinary partnerships, our research projects generate knowledge that can be applied in local school-development processes and contribute to sustainable guidelines for ethical and inclusive uses of AI. In this way, we ensure that special-educational perspectives guide the development of AI in education and that new digital tools strengthen equitable and accessible education across the life course.

What’s on

Between Promise and Peril: AI, Special Educational Support and the Research–Practice Gap in Nordic Education

Digital Nordic Research Symposium | 19 March 2026 (13:00–17:00 CET)

AI-based technologies are increasingly positioned as solutions for enhancing teaching, assessment, and support systems in compulsory schooling. In the field of special education, these developments raise complex questions concerning inclusion, equity, and professional responsibility. Tools for screening, mapping learning needs, and automated or adaptive support may influence how educational difficulties are identified, how support measures are designed, and how decisions are legitimised within schools and welfare-oriented education systems. Despite growing interest in the educational potential of AI, there is limited empirical knowledge regarding how algorithmically mediated practices affect professional judgement, accountability, and pupils’ opportunities for participation. Of particular concern are risks related to bias, stigmatisation, and the reinforcement of exclusion through data-driven categorisation and decision-making processes. This Nordic digital research symposium brings together researchers to advance a critical and comparative discussion of AI in relation to special educational support and the research–practice gap. By connecting empirical studies, theoretical frameworks, and methodological perspectives across Nordic contexts, the symposium aims to identify key research priorities and strengthen Nordic collaboration through joint research initiatives and scholarly publications.

The symposium is funded by TAIGA – Centre for Transdisciplinary AI, Umeå University and Nordplus Horizontal (NPHZ-2024/10009)

Latest update: 2026-01-21