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¶
Claim · All claims
Evidence · 1 study · qualitativer2·q1
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? In expert-led mapping of an AI Engineering and a Media Pedagogy curriculum, technical programs emphasized Technical Knowledge and Skills and Application Proficiency, while the humanities-oriented program focused more on Ethical Awareness and Reasoning and Social Impact Understanding. → Veronika Hackl 2025
Evidence¶
Veronika Hackl 2025¶
Veronika Hackl, Alexandra Elena Müller, Maximilian Sailer. (2025). The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Education. https://arxiv.org/abs/2509.18900 doi:10.48550/arxiv.2509.18900
q1 · i? · qualitative · r2
Qualitative expert-led curriculum mapping (collaborative profiling sessions) with two experts, one per program, assigning target proficiency levels per dimension. The authors report that "technical programs emphasize Technical Knowledge and Skills (TKS) and Application Proficiency (AP)"; profiles are illustrative, not measurements of student performance.
"As expected, technical programs emphasize Technical Knowledge and Skills (TKS) and Application Proficiency (AP), while humanities-oriented programs focus more on Ethical Awareness and Reasoning (EAR) and Social Impact Understanding (SIU)."
Discussion¶
Related Claims¶
- Iterative coding of 27 AIL sources yields seven dimensions, with technical, application and critical-thinking dimensions most frequent and legal/regulatory knowledge rarest — related
- 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
- 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) — related
- AI literacy requires discipline-specific calibration beyond prompt-writing skills — a broader claim this one bears on
- Industrial arts teacher education must foster understanding of both the technical and the human sides of enterprise — 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
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
curriculum-mapping-discipline-specific-ail-profiles |
title |
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 |
description |
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 |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — veronika-hackl-2025 |
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