An 8-hour AI-literacy module for primary-teacher trainees at Mondragon Unibertsitatea (Basque Country, Spain) raised measured awareness, attitude and trust toward AI across a two-cohort pre/post study (n=60, 48 completing post-test), published in Frontiers in Education, 2025.
60 students
Students trained across two cohorts (2023/24–2024/25)
48 students
Students completing both pre- and post-training questionnaires (2023/24–2024/25)
Mondragon Unibertsitatea's Faculty of Humanities and Education (Arrasate-Mondragon, Basque Country) embedded a foundational AI-literacy session into the 'Artificial Intelligence in Education' module of its Digital Innovation specialization within the Primary Education Bachelor's degree.
Objectives
Prepare future primary teachers to guide children's interactions with AI tools by building AI literacy — awareness, attitudes and trust — before graduation.
Activities
Across the 2023/24 and 2024/25 academic years, a convenience sample of 60 students attended an 8-hour training session introducing key AI concepts and applications; 48 completed both the pre- and post-training questionnaires, which measured awareness of 16 specific AI-enabled products plus attitudes toward and trust in AI.
Results
All 16 awareness items showed an increase in the share of students reporting familiarity after the session, and attitude and trust measures shifted positively as well.
Conclusions
The study has no control group and relies on a single 8-hour session and self-report measures at one institution; the authors call for larger, multi-site replication with comparison groups and longer follow-up.
Implementation
Indicative cost
Low (< €50k) — No budget disclosed; delivered as an 8-hour session inside an existing degree module using existing faculty and course infrastructure.
Time to results
Short (< 1 year) — One 8-hour training session per cohort, repeated across the 2023/24 and 2024/25 academic years.
Staffing & skills
Mondragon Unibertsitatea, Faculty of Humanities and Education
Conditions for success
Embedding the AI-literacy session directly inside an existing 'Artificial Intelligence in Education' module within the Digital Innovation specialization, rather than as a stand-alone add-on
Common failure modes
No control group and self-report measures limit causal confidence
Single 8-hour session at one institution; the authors explicitly call for larger, multi-site replication with comparison groups and longer follow-up
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