AIL is delineated from related literacies: it extends Data, Media and Computational Literacy with human-AI interaction and ethical reasoning about autonomous systems¶
Claim · All claims
Evidence · 1 study · reviewr2·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? AIL overlaps with but is distinct from Data, Media and Computational Literacy: it goes beyond Computational Literacy by emphasizing human interaction with AI systems and ethical considerations, and expands Media Literacy by addressing how AI-driven algorithms shape information flow. → 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? · review · r2
Conceptual analysis within the integrative literature review (RQ1), comparing AIL against Data, Media and Computational Literacy and presenting a comparative table. The review states AIL "goes beyond Computational Literacy by emphasizing human interaction with AI systems and ethical considerations"; no empirical data are reported.
"AIL goes beyond Computational Literacy by emphasizing human interaction with AI systems and ethical considerations. Unlike Data Literacy, which focuses primarily on data management and statistical reasoning, AIL involves understanding how AI models process and generate outputs."
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
- 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 — related
- Ethical considerations are a sidelined research theme, addressed by only seven of 183 publications, mostly on stereotype perpetuation by generative AI — related
- Over-reliance on AI in chemical experimentation carries ethical considerations and pitfalls as AI automates routine tasks and alters how experiments are conceptualized — 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
- Iterative coding of 27 AIL sources yields seven dimensions, with technical, application and critical-thinking dimensions most frequent and legal/regulatory knowledge rarest — related
- AI intuition emphasizes epistemic judgment rather than output optimization, distinguishing it from prompt engineering — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ail-delineation-from-related-literacies |
title |
AIL is delineated from related literacies: it extends Data, Media and Computational Literacy with human-AI interaction and ethical reasoning about autonomous systems |
description |
AIL is delineated from related literacies: it extends Data, Media and Computational Literacy with human-AI interaction and ethical reasoning about autonomous systems |
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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