DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
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.
- ▪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.
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.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
Discussion
0 commentsMore from arXiv.org
