Please use this identifier to cite or link to this item: https://dspace.univ-guelma.dz/jspui/handle/123456789/19469
Title: AI-Assisted Peer Feedback System for Learning Scientific Writing
Authors: BOUKAIL, MOATEZ BILLEH
Keywords: large language models, prompt, scientific writing, e-learning, .
Issue Date: 2026
Publisher: University of Guelma
Abstract: Scientific writing is a fundamental skill for students and researchers at the beginning of their careers. However, many learners struggle to produce high-quality scientific texts, often due to a lack of experience and consistent guidance. Developing strong scien- tific writing skills typically requires extensive practice, detailed feedback, and iterative revision, resources that are not always readily available in traditional learning environ- ments. Recent advances in artificial intelligence, particularly large language models, have opened new avenues for supporting and enhancing the writing process. The ob- jective of this work is to develop a system that leverages Artificial Intelligence (AI) to assist learners in improving the quality of their scientific writing. The proposed system aims to provide learners with accurate, constructive, and actionable quidance, thereby supporting the development of stronger scientific writing skills.
URI: https://dspace.univ-guelma.dz/jspui/handle/123456789/19469
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