Ward, Monica
ORCID: 0000-0001-7327-1395, Thomson, Jenny, Xu, Liang
ORCID: 0000-0002-2619-1883 and Uí Dhonnchadha, Elaine
ORCID: 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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