Exploring the Potential of Artificial Intelligence in Supporting Dyslexic ESL Learners in Higher Education: A Theoretical Perspective
This paper examines how AI can transform the delivery of learning to dyslexic learners of English as a Second Language (ESL), specifically within higher education. It explores how dyslexia impedes the acquisition of a second language, particularly in relation to reading, comprehension, and writing. AI tools are opening new avenues that provide exciting opportunities for tackling these challenges, through personalized adaptive learning experiences that respond to each learner's differing needs. The paper employs a comprehensive survey of the literature on dyslexia, language learning, and AI in education, to identify key gaps in dyslexic learners support. AI-based tools, such as speech recognition, NLP and adaptive learning platforms, are also assessed in terms of optimizing ESL learning for dyslexic students. It also discusses some case studies where AI-based tools have been successfully integrated in ESL classroom. The study reveals that even though AI enhances learning and student engagement, it raises privacy, infrastructure and educator readiness issues. It concludes with strategic recommendations and advocates for a collaborative approach involving educators, technology This paper examines how AI can transform the delivery of learning to dyslexic learners of English as a Second Language (ESL), specifically within higher education. It explores how dyslexia impedes the acquisition of a second language, particularly in relation to reading, comprehension, and writing. AI tools are opening new avenues that provide exciting opportunities for tackling these challenges, through personalized adaptive learning experiences that respond to each learner's differing needs. The paper employs a comprehensive survey of the literature on dyslexia, language learning, and AI in education, to identify key gaps in dyslexic learners support. AI-based tools, such as speech recognition, NLP and adaptive learning platforms, are also assessed in terms of optimizing ESL learning for dyslexic students. It also discusses some case studies where AI-based tools have been successfully integrated in ESL classroom. The study reveals that even though AI enhances learning and student engagement, it raises privacy, infrastructure and educator readiness issues. It concludes with strategic recommendations and advocates for a collaborative approach involving educators, technology developers, and policymakers to harness AI's full potential in supporting dyslexic ESL learners, thereby promoting equitable access to educational opportunities.
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