[2603.28596] Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection

[2603.28596] Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.28596: Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection

Computer Science > Human-Computer Interaction arXiv:2603.28596 (cs) [Submitted on 30 Mar 2026] Title:Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection Authors:Seyed Parsa Neshaei, Richard Lee Davis, Tanja Käser View a PDF of the paper titled Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection, by Seyed Parsa Neshaei and 2 other authors View PDF HTML (experimental) Abstract:Reflective writing is known to support the development of students' metacognitive skills, yet learners often struggle to engage in deep reflection, limiting learning gains. Although large language models (LLMs) have been shown to improve writing skills, their use as conversational agents for reflective writing has produced mixed results and has largely focused on providing feedback on reflective texts, rather than support during planning and organizing. In this paper, inspired by the Cognitive Process Theory of writing (CPT), we propose the first application of LLMs to the planning and translation steps of reflective writing. We introduce Pensée, a tool to explore the effects of explicit AI support during these stages by scaffolding structured reflection planning using a conversational agent, and supporting translation by automatically extracting key concepts. We evaluate Pensée in a controlled between-subjects experiment (N=93), manipulating AI support across writing phases. Results show significantly greater reflection depth an...

Originally published on March 31, 2026. Curated by AI News.

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