发表机构
University of the Basque Country EHU; CNRS; ZHAW School of Engineering; Vytautas Magnus University（巴斯克大学; 法国国家科学研究中心; 苏黎世应用科技大学工程学院; 维陶塔斯·马格努斯大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
CRITICS项目结合基于LLM的机器翻译与教育技术，提供科学材料母语翻译，研究科学论证与批判性思维及反馈，旨在打破语言障碍，促进科学知识民主化。
AI 中文摘要
CRITICS项目通过将基于大型语言模型（LLM）的先进机器翻译（MT）与教育技术相结合，致力于解决科学可及性和科学素养问题。通过利用专门针对科学内容优化的机器翻译系统，教育机构可以提供准确且具有文化相关性的科学材料母语翻译，确保复杂科学概念易于理解，同时保持技术准确性。在这些翻译的基础上，该项目探索了基于课程对齐的教学-学习设计的创新科学教学方案的设计与评估。因此，CRITICS将研究科学论证和批判性思维实践的关键组成部分，以及符合学习目标和基于能力评估框架启发的评估标准的文本反馈。CRITICS旨在打破获取前沿研究和教育材料的语言障碍，这些材料目前仅以高资源语言提供，从而促进科学知识的民主化，并培养科学教育中的批判性思维。
英文摘要
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.
Comments9 pages
Journal refSEPLN 2026: 42nd International Conference of the Spanish Society for Natural Language Processing, León, Spain, 22-25 September 2026
