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DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums

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DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
TL;DR · WeSearch summary

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. First, it employs a dictionary-driven filtering method to construct a more focused Reddit corpus on dyslexia and AI, filtering out noisy and weakly related posts to improve the relevance of data collected from low-resource forum contexts.

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Original publisherarXiv.org
Canonical URLhttps://arxiv.org/abs/2606.27619
Publication timeMon, 29 Jun 2026 00:00:00 -0400
Retrieval time2026-06-29T07:20:58.002Z
Last seen2026-06-29T07:20:58.002Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

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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