Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China

Research Article

Chinese University Students' Cognition of Mobile Speech Recognition Software in English Communicative Training

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  • @INPROCEEDINGS{10.4108/eai.23-12-2022.2329142,
        author={Xiaomeng  Li},
        title={Chinese University Students' Cognition of Mobile Speech Recognition Software in  English Communicative Training},
        proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2023},
        month={6},
        keywords={automatic speech recognition case study communicative english university  students mobile-assisted language learning},
        doi={10.4108/eai.23-12-2022.2329142}
    }
    
  • Xiaomeng Li
    Year: 2023
    Chinese University Students' Cognition of Mobile Speech Recognition Software in English Communicative Training
    ITEI
    EAI
    DOI: 10.4108/eai.23-12-2022.2329142
Xiaomeng Li1,*
  • 1: UniSA Education Futures
*Contact email: Liyxy171@mymail.unisa.edu.au

Abstract

With the popularity of intelligent artificial intelligence (AI)-based education programs, many Chinese education scholars have found opportunities in communicative English learning. However, there is little qualitative research on the use of automatic speech recognition technology in English language-learning applications. Therefore, based on a week of user experience with a mobile app for self-study English called Liulishuo, the author designed a case study to explore how Chinese university students perceive the app. The author used the example of Chinese students who used Liulishuo and asked how it can improve pronunciation skills and speaking ability. The author collected a variety of data from participants' biographical discourses, learning journals, and personal interviews. The results of the thematic analysis using Dedoose qualitative research data analysis software showed that most of the participants enjoyed learning experiences in using Liulishuo and would continue adopting it in future self-study.