Technical AI literacy elements dominate STEAM implementations: Fundamental AI Concepts (36 studies), Data Literacy (30) and Computational Thinking (29) far exceed Managing AI (6), Designing AI (8) and Creative Imagination (9)¶

Claim · All claims
Evidence · 1 study · review r3 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Fundamental AI Concepts, Computational Thinking and Data Literacy were the most frequently developed AILEs, while Managing AI, Designing AI and Creative Imagination appeared least often. → Niri 2026

Evidence¶

Niri 2026¶

Niri, G., Chiu, T. K. F., Ombid, A. M. O., Ybañez, D. L. J. B., Dennerlein, S. M., Zhou, X., & Lavicza, Z. (2026). STEAM education for AI literacy: a systematic literature review. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00629-8

q3 · i? · review · r3

Frequency-based co-occurrence analysis of the ten AILEs across the 39 reviewed studies (Fig. 6 diagonal). The review reports the printed study counts and concludes that "practical, creative, and managerial dimensions of AI literacy remain relatively underrepresented in current educational practices".

"Fundamental AI Concepts (n = 36 studies), Computational Thinking (n = 29), and Data Literacy (n = 30) emerged as the most frequently developed AI literacy elements across the studies, confirming their central role in AI education"

Discussion¶

Related Claims¶

• Technology disciplines, especially Computer Science and Data Science, lead contributions to AI literacy across TIECD dimensions, while Design (AILE 5.1) is underrepresented across all STEAM clusters — related
• AIL is delineated from related literacies: it extends Data, Media and Computational Literacy with human-AI interaction and ethical reasoning about autonomous systems — related
• Expert-led curriculum mapping of two programs shows discipline-specific AIL emphasis: technical programs stress TKS and AP, humanities-oriented programs stress EAR and SIU — related
• Ethical reflection is often addressed separately from technical and creative AI activities, showing weak co-occurrence with Social Reasoning (42%), Using AI (41%) and Creating with AI (55%) — related