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Affiliation(s)

University of South Australia (UniSA), Adelaide, Australia

ABSTRACT

The increased ownership of mobile phone users and the advancement of mobile applications enlarge the practicality and popularity of use for learning purposes among Chinese university students. However, even if innovative functions of these applications are increasingly reported in relevant research in the education field, little research has been in the application of spoken English language. This paper examined the effect of using a Mobile-Assisted Language Learning (MALL) application “IELTS Liulishuo” (speaking English fluently in the IELTS test) as a unit of analysis to improve the English-speaking production of university students in China. The measurement of this mobile application in its effectiveness of validity and reliability is through the use of seven dimensional criteria. Although some technical and pedagogical issues challenge adoptions of MALL in some less-developed regions in China, the study showed positive effects of using a MALL oral English assessment application characterised with Automatic Speech Recognition (ASR) system on the improvement of complexity, accuracy, and fluency of English learners in China’s colleges.

KEYWORDS

Mobile-Assisted Language Learning (MALL), Artificial Intelligence (AI) education, Automatic Speech Recognition (ASR), China, university students

Cite this paper

Psychology Research, February 2022, Vol. 12, No. 2, 58-65

References

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