arXiv AI By Rodrigo Agerri, Itziar Aldabe, Elena Cabrio, Mark Cieliebak, Jan Deriu, Mariana Flores, Jurgita Kapociute-Dzikiene, Dovile Kuiziniene, Arantza Rico, Aritz Ruiz-Gonzalez, Aitor Soroa, Mantas Vaskevicius, Serena Villata

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

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arXiv Computation and Language
Sep 3

Expos\'ia: Teaching and Assessment of Academic Writing Skills for Research Project Proposals and Peer Feedback

Exposía is the first public dataset linking academic writing and feedback in higher education, comprising student research project proposals, peer and instructor comments, and free-text reviews collected from a Computer Science course. It includes human assessment scores based on a fine‑grained, pedagogically‑grounded schema for both writing and feedback. The dataset is used to benchmark large language models on automated scoring of proposals and student reviews, revealing that different LLMs excel at each task and that closed‑source models outperform open‑weight ones, while a multi‑aspect prompting strategy proves most effective for classroom deployment.

By Dennis Zyska, Alla Rozovskaya, Ilia Kuznetsov, Iryna Gurevych