DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
arXiv:2606.27619v1 Announce Type: new Abstract: Dyslexic learners increasingly use artificial intelligence (AI) tools to support reading, writing, organisation, and study-related tasks. However, their lived experiences with these tools remain largely underexamined. This paper proposes DysLexLens, a low-resource LLM framework, designed to analyse dyslexic learners experience with AI through online forum discussions. DysLexLens is designed as an end-to-end, evidence-traceable architecture which tr
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Computer Science > Artificial Intelligence arXiv:2606.27619 (cs) [Submitted on 26 Jun 2026] Title:DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums Authors:Dana Rezazadegan, Atie Kia, Phongpadid Nandavong, Dominique Carlon, Jeremy Nguyen, Abhik Banerjee, James Marshall, Anthony McCosker, Yong-Bin Kang View a PDF of the paper titled DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums, by Dana Rezazadegan and 8 other authors View PDF HTML (experimental) Abstract:Dyslexic learners increasingly use artificial intelligence (AI) tools to support reading, writing, organisation, and study-related tasks. However, their lived experiences with these tools remain largely underexamined.
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