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Enhancing language learning for dyslexic learners: Integrating text-to-speech AI in CALL

Ward, Monica orcid logoORCID: 0000-0001-7327-1395, Thomson, Jenny, Xu, Liang orcid logoORCID: 0000-0002-2619-1883 and Uí Dhonnchadha, Elaine orcid logoORCID: 0000-0003-3448-4288 (2024) Enhancing language learning for dyslexic learners: Integrating text-to-speech AI in CALL. In: EuroCALL 2024, 26-29 August 2024, Trnava, Slovakia.

Abstract
This paper presents the development and adaptation of the Cipher game, a digital language learning resource adapted for dyslexic learners using text-to-speech (TTS) Artificial Intelligence (AI) technology. Modifications to the original Irish Cipher game include simplified texts, adjusted game rules, and AI-generated audio for instructions, vocabulary, and sentences. These elements reduce cognitive load and enhance comprehension, aligning with the needs of dyslexic students. The TTS technology used produces clear, game-appropriate speech, facilitating a more engaging and supportive learning experience. This paper provides a comprehensive overview of the design and development process of the dyslexia-focused Cipher game. It highlights the potential benefits of incorporating advanced AI technologies in educational tools for learners with reading difficulties. Future research is necessary to empirically evaluate the efficacy of this tool in realworld settings, involving dyslexic learners in the testing phase. This paper contributes to the ongoing discourse on leveraging technology to promote inclusive education and support diverse learner needs in CALL environments.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:CALL; text-to-speech; dyslexia; digital game-based language learning
Subjects:Computer Science > Artificial intelligence
Computer Science > Interactive computer systems
Computer Science > Multimedia systems
Humanities > Irish language
Humanities > Language
Social Sciences > Educational technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Research Institutes and Centres > d-real
Published in: Proceedings of the 2024 EUROCALL Conference. . Editorial Universitat Politècnica de València.
Publisher:Editorial Universitat Politècnica de València
Official URL:https://riunet.upv.es/server/api/core/bitstreams/d...
Funders:Science Foundation Ireland
ID Code:31993
Deposited On:11 Dec 2025 13:26 by Liang Xu . Last Modified 11 Dec 2025 13:26
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