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Big data analytics and augmentative and alternative communication in EFL teaching

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Abstract

Language is a medium of communication as a sociological trend that gives a significant aspect of culture and a reflection that depicts a country's customs and community. Thus, teachers should instead teach the student's language knowledge, including vocabulary and grammar, in language instruction and incorporate the cultural context to introduce communication concepts, combining with different cultural and social aspects. This paper identifies the challenges and scope of Augmentative and Alternative Communication (AAC) in EFL teaching. This model proposes the Advanced Framework for EFL Teaching (AF-EFLT), which incorporates the AAC technology to overcome the challenge of teaching a second language. Besides this, the proposed model uses advanced big data analytics tools in performance evaluation and monitoring. The assessment results in improved EFL teaching experience and Learning with the proposed framework's highest efficiency. The detailed study in teaching assistance's technological aspect further suggests the future research scope in EFL teaching.

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Authors and Affiliations

  1. School of Languages and Cultures, Shanghai University of Political Science and Law, Shanghai, 201701, China

    Ping Zhang

  2. Department of Computer Science, SRM Institute of Science and Technology, Kattankulathur, India

    K. Deepa Thilak

  3. Department of Electronics and Communication Engineering, M.E.A Engineering College, Malappuram, Kerala, India

    Renjith V. Ravi

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  1. Ping Zhang
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  2. K. Deepa Thilak
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  3. Renjith V. Ravi
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Correspondence to Ping Zhang.

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Zhang, P., Thilak, K.D. & Ravi, R.V. Big data analytics and augmentative and alternative communication in EFL teaching. Int J Speech Technol 25, 315–329 (2022). https://doi.org/10.1007/s10772-021-09919-8

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  • DOI: https://doi.org/10.1007/s10772-021-09919-8

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