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Effects of AI functions in a seamless vocabulary learning environment for young learners
Citation
Wen, Y., & Guo, X. (2024). Effects of AI functions in a seamless vocabulary learning environment for young learners. In H.-C. Chu, D. Sun, Y. Lu, J. C.-Y. Sun, S. C. Kong, & G. Liu (Eds.), Conference Proceedings (English Paper) of the 28th Global Chinese Conference on Computers in Education (pp. 82-89). Global Chinese Conference on Computers in Education.
Abstract
While the potential benefits of AI in education have been widely acknowledged, there is a lack of research investigating how to leverage AI to promote language learning, especially among young learners. In this study, an AIpowered seamless vocabulary learning system – ARCHe – was designed and developed. The purpose of this paper is to report on the learning effectiveness of using ARCHe and explore the pedagogical affordances of AI to power seamless learning for young learners. The system has been implemented and evaluated in three government primary schools in Singapore, involving a total of 140 students and 6 teachers. The findings of the study indicate that the use of ARCHe significantly improves students’ performance in Chinese character and vocabulary learning, regardless of their school contexts and prior language proficiency. Moreover, the results suggest that AI-enabled multimodal feedback may contribute to enhancing students’ engagement in classroom-based collaborative learning activities. Given the absence of correlation among students' emotional engagement, Chinese language proficiency, and the quality and quantity of students' home-based work, future studies on AI-enhanced seamless learning, particularly those focusing on young learners, should delve into background variables that could impact students’ learning engagement.
Date Issued
2024
Publisher
Global Chinese Conference on Computers in Education