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arXiv Computation and Language By Dennis Zyska, Alla Rozovskaya, Ilia Kuznetsov, Iryna Gurevych

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

Read the original on arXiv Computation and Language →

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.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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