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Empowering Adaptive Digital Game-Based Language Learning for Under-Resourced Languages Through Text Analysis

Uí Dhonnchadha, Elaine orcid logoORCID: 0000-0003-3448-4288, Bruen, Sally, Xu, Liang orcid logoORCID: 0000-0002-2619-1883 and Ward, Monica orcid logoORCID: 0000-0001-7327-1395 (2024) Empowering Adaptive Digital Game-Based Language Learning for Under-Resourced Languages Through Text Analysis. In: The 10th Workshop on Games and Natural Language Processing@ LREC-COLING 2024, 20-25 May 2024, Turin, Italy.

Abstract
This study explores Cipher, an adaptive language learning game tailored for the under-resourced Irish language, aimed mainly at primary school students. By integrating text analysis techniques, Cipher dynamically adjusts its difficulty based on the player's language proficiency, offering a customised learning experience. The game's narrative involves decoding spells to access Irish myths and stories, combining language learning with cultural elements. Development involved collaboration with educators to align the game content with curriculum standards and incorporate culturally relevant materials. This paper outlines the game's development process, emphasising the use of text analysis for difficulty adjustment and the importance of engaging, educational gameplay. Preliminary results indicate that adaptive games like Cipher can enhance language learning by providing immersive, personalised experiences that maintain player motivation and engagement.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Adaptivity, text analysis, digital game-based language learning
Subjects:Computer Science > Artificial intelligence
Computer Science > Computational linguistics
Computer Science > Interactive computer systems
Humanities > Irish language
Humanities > Linguistics
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
Research Institutes and Centres > ADAPT
Research Institutes and Centres > d-real
Published in: Proceedings of the 10th Workshop on Games and Natural Language Processing@ LREC-COLING 2024. . ELRA and ICCL.
Publisher:ELRA and ICCL
Official URL:https://aclanthology.org/2024.games-1.2.pdf
Funders:Science Foundation Ireland
ID Code:31995
Deposited On:11 Dec 2025 13:41 by Liang Xu . Last Modified 11 Dec 2025 13:41
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