Distributed Communicative Language Training Platform Using Automatic Speech Recognition Technology for Smart University

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DOI:

https://doi.org/10.3991/ijet.v18i24.40619

Keywords:

Distributed Enterprise, Communicative Language Teaching, Automatic Speech Recognition, Smart University

Abstract


The purpose of this research is to achieve the following objectives: 1) Synthesize documents and international research on the characteristics of a smart university. 2) Synthesize the processes of distributed communicative language training (DCLT). 3) Design the system architecture of a DCLT platform that utilizes automatic speech recognition (ASR) technology for a smart university. 4) Evaluate the appropriateness of a DCLT platform that utilizes ASR technology for a smart university. Nine experts were selected for this research. They were required to have more than five years of relevant experience in the field, including expertise in system architecture, distributed enterprise, language teaching, and ASR. The research instruments included a suitable assessment form for evaluating the system architecture of a DCLT platform that utilizes ASR technology for a smart university. The results of this research indicate that the DCLT platform, which utilizes ASR technology, was considered suitable for a smart university.

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Published

2023-12-19

How to Cite

Phuengrod, S., Wannapiroon, P., & Nilsook, P. (2023). Distributed Communicative Language Training Platform Using Automatic Speech Recognition Technology for Smart University. International Journal of Emerging Technologies in Learning (iJET), 18(24), pp. 96–111. https://doi.org/10.3991/ijet.v18i24.40619

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Papers