Investigation of Facilitating English Speaking of Elementary School Students in Authentic Contexts with UEnglish

  • Zhao X
  • Hwang W
  • Hoang A
  • et al.
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Abstract

Despite the importance of English in various aspects of life, students learning English as a foreign language often lack sufficient opportunities to practice speaking in their daily lives. To address these issues, this study proposes an innovative mobile app called Ubiquitous English (UEnglish) that facilitates English speaking learning in authentic contexts anytime and anywhere. Leveraging advanced technologies, UEnglish incorporates automatic speech recognition (ASR), cloud machine translation (MT), and text-to-speech (TTS) functionalities. The primary aim of this study is to assess the impact of UEnglish on students’ English speaking ability, specifically focusing on the quality and quantity of their spoken English when describing comic pictures and authentic pictures. To investigate the learning behaviors and the influence on English speaking learning achievement in this study, 56 fifth-grade students were employed, including 28 students in an experimental group (EG) using UEnglish and 28 students in a control group (CG) with a paper-based teaching method. The results indicated that, after the experiment, EG outperformed CG and EG had significant differences in the quality and quantity of English speaking in the context of describing comic pictures and authentic pictures. Students’ learning portfolios revealed that EG students not only could use more English words and more complex sentences to express their thoughts but also easily applied what they learned when encountering similar contexts. Our findings suggested that authentic contextual English learning with UEnglish was helpful for students to practice speaking English related to their surroundings.

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APA

Zhao, X.-J., Hwang, W.-Y., Hoang, A., & Su, Y.-C. (2023). Investigation of Facilitating English Speaking of Elementary School Students in Authentic Contexts with UEnglish. Human-Centric Intelligent Systems, 3(3), 244–262. https://doi.org/10.1007/s44230-023-00031-5

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