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¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2–r3 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? The Technology domain is the most dominant across the TIECD framework, with Computer Science and Data Science covered across all five dimensions. → Niri 2026 q3 i? Design (AILE 5.1) is consistently underrepresented across clusters, indicating a gap in product- and co-creation-oriented learning experiences. → Niri 2026 (2)

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

Disciplinary mapping of 31 unique subjects across the 39 studies, classified via ISCED-F 2013 and grouped into six STEAM clusters (Fig. 7). The review reports Computer Science and Data Science are "the most comprehensively covered, appearing across all five TIECD dimensions".

"A cluster-level analysis reveals that the Technology domain is the most dominant across the TIECD frame - work (see Fig. 7). It shows particularly strong align - ment with the Technology dimension (AILE 1.1–1.3), with subjects like Computer Science (CS) and Data Sci - ence appearing frequently"

Niri 2026 (2)¶

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 · r2

Same disciplinary mapping analysis (Fig. 7). The review reports the Design dimension gap across clusters and notes Collaboration "remains comparatively thin in Science, Mathematics, and Engineering"; engineering appeared only once in the corpus despite its natural alignment with Designing AI.

"By contrast, Design (AILE 5.1) is consistently underrepresented across clus - ters, indicating a gap in product- and co-creation–ori - ented learning experiences relative to the prevailing conceptual or analytical emphasis"

Discussion¶

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