Evidence record 13 · automatically gathered

Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Analysis

The promise of AI literacy ``for all'' confronts a structural challenge embedded in how nations organise secondary computer science education. In most systems, a general-track subject -- Digital Literacy, ICT, TIC, or SNT -- bears the weight of universal AI literacy, while a specialist Informatics course serves STEM pathways separately. Yet the content and depth of the general track are shaped by governance decisions made largely with reference to the specialist one. This paper presents a compar

Record details

Published: 13 July 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Children & education
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

How to cite this record

ethics.ai (13 July 2026), “Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Analysis,” evidence record 13, https://ethics.ai/record/13 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.