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

2026-09-12

AI Summary

CRITICS项目通过结合大型语言模型的机器翻译与教育技术，解决科学教育中的语言障碍问题，提高科学材料的可访问性和理解度，促进批判性思维。

Abstract

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-learning proposals grounded in curriculum-aligned teaching-learning. Thus, CRITICS will investigate key components of scientific argumentation and critical thinking practices together with textual feedback aligned with learning objectives and assessment criteria inspired by competence-based evaluation frameworks. CRITICS aims to break down language barriers to accessing cutting-edge research and educational materials currently available only in high-resourced languages, thereby facilitating the democratization of scientific knowledge and fostering critical thinking in science education.

Problem

• science accessibility
• literacy
• language barriers
• scientific knowledge
• critical thinking

Innovation

• Machine Translation
• Large Language Models
• Science Education
• Critical Thinking
• Cultural Relevance