Student epistemic agency in AI-mediated practices

Abstract Little is known about students’ epistemic agency in relation to AI-mediated practices. This study was conducted in a Swedish school that had started the pilot project “AI on the schedule” for compulsory school students, for whom the national curricula do not include AI training. A survey covering the aspects of source evaluation, data privacy, algorithmic manipulation, transparency, responsibility, and governance was distributed to these year 7 students ( n = 47). The data was analysed through cross-tabulations of question pairs. This revealed how epistemic agency varied across aspects within individual students. Results show that students demonstrated strong epistemic agency in certain areas but weak agency in others, for example, in data privacy and algorithmic manipulation, even when these had been part of earlier instruction. The contribution of the study is that epistemic agency in AI-mediated practices is not a unified construct: the data suggest distinct output-directed and system-directed dimensions, each with its own area of application. This has implications for instruction and guidance when integrating AI into K-12 teaching.

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Publication Details

Journal
Smart Learning Environments
Published
2026-10-24
DOI
https://doi.org/10.1186/s40561-026-00464-y
Primary Topic
Educational Strategies and Epistemologies
Type
article
Field-Weighted Citation Impact
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article

Student epistemic agency in AI-mediated practices

Nina Bergdahl
Smart Learning Environments
Educational Strategies and Epistemologies
article

Student epistemic agency in AI-mediated practices

Nina Bergdahl
article en

Abstract

Abstract Little is known about students’ epistemic agency in relation to AI-mediated practices. This study was conducted in a Swedish school that had started the pilot project “AI on the schedule” for compulsory school students, for whom the national curricula do not include AI training. A survey covering the aspects of source evaluation, data privacy, algorithmic manipulation, transparency, responsibility, and governance was distributed to these year 7 students ( n = 47). The data was analysed through cross-tabulations of question pairs. This revealed how epistemic agency varied across aspects within individual students. Results show that students demonstrated strong epistemic agency in certain areas but weak agency in others, for example, in data privacy and algorithmic manipulation, even when these had been part of earlier instruction. The contribution of the study is that epistemic agency in AI-mediated practices is not a unified construct: the data suggest distinct output-directed and system-directed dimensions, each with its own area of application. This has implications for instruction and guidance when integrating AI into K-12 teaching.

Smart Learning Environments
Halmstad University (SE)
Openalex Percentile: Top 5%
Educational Strategies and Epistemologies
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Student epistemic agency in AI-mediated practices — Nina Bergdahl · Smart Learning Environments (2026) | TGRS Research Map | TGRS