Wordcaster: A Gamified Speech-Based Reading Game for Young Learners Using Real-Time ASR
Al-Ali, Hamdan Aldarmaki, Hanan
Al-Ali, Hamdan
Aldarmaki, Hanan
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Natural Language Processing
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Conference proceeding
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Abstract
This paper examines the potential of combining gamification and speech technology to support early reading development in children. We introduce Wordcaster, a game where players cast spells by pronouncing words aloud, using real-time automatic speech recognition (ASR) to provide feedback and encourage participation. A pilot study was conducted with three bilingual children—native Arabic speakers learning English—using a fixed list of 20 English words. Results showed increased ASR accuracy between sessions, and all children reported high enjoyment. These findings support a direction for scalable, speech-driven reading support.
Citation
H. Al-Ali, H. Aldarmaki, "Wordcaster: A Gamified Speech-Based Reading Game for Young Learners Using Real-Time ASR," 2026, pp. 500-504.
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Conference
2025 International Conference on Education Technology and Computers (ICETC)
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47 Language, Communication and Culture, 4704 Linguistics, 4 Quality Education
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2025 International Conference on Education Technology and Computers (ICETC)
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IEEE