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CRITICS - Critical Science Without Borders: Language Models to Promote Critical Thinking in Science Education

arXiv · AI, language, vision and robotics · article · Sep 12, 2026 · UTC

The CRITICS project addresses science accessibility and literacy by converging advanced Machine Translation (MT) based on Large Language Models (LLMs) with educational technology. By leveraging MT systems specifically optimized for scientific content, educational institutions can provide accurate, culturally relevant translations of scientific materials in students' native languages, ensuring that complex scientific concepts are comprehensible while maintaining technical accuracy. Building on these translations, the project explores the design and evaluation of innovative science teaching-lear

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Evidence & attribution

First collected: 2026-09-20T12:41:04.663Z. This is not the publication date.