Article: Big data analytics and augmentative and alternative communication system for English language teaching Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.24 No.2 pp.113 - 127 Abstract: The presence of digital information and software in the education field is being improved via massive investment in educational technologies and enormous growth in data gathering and analysis in policymaking practices, an extension of performance measurement technologies in the management of educational institutions. Big data analytics and augmentative and alternative communication (AAC) are service providers to progressively serving many students and teachers from culturally and linguistically diverse backgrounds. Hence, in this study, big data analytics assisted effective language teaching framework (BDA-ELTF) using AAC programs has been proposed. Concerning the use of big data, this paper recommends that the machine's design, like the human-computer interaction (HCI) model, and concentrates on the English learners' needs and teachers' instruction. AAC programs, through increasing interpersonal engagement, improve community involvement and student achievement. Big data allows academic record analysis to understand students' behaviour and establish a good English learning environment. Thus, the proposed BDA-ELTF model shows that it increases learning rate, language fluency, and student success compared to other popular strategies. Inderscience Publishers - linking academia, business and industry through research

Title: Big data analytics and augmentative and alternative communication system for English language teaching

Authors: Wei Tang; Yalan Yang; Qikun Hou

Addresses: School of Humanities, Hunan City University, Yiyang 413000, China ' School of Humanities, Hunan City University, Yiyang 413000, China ' Foreign Studies College, Hunan Normal University, Changsha 410081, China

Abstract: The presence of digital information and software in the education field is being improved via massive investment in educational technologies and enormous growth in data gathering and analysis in policymaking practices, an extension of performance measurement technologies in the management of educational institutions. Big data analytics and augmentative and alternative communication (AAC) are service providers to progressively serving many students and teachers from culturally and linguistically diverse backgrounds. Hence, in this study, big data analytics assisted effective language teaching framework (BDA-ELTF) using AAC programs has been proposed. Concerning the use of big data, this paper recommends that the machine's design, like the human-computer interaction (HCI) model, and concentrates on the English learners' needs and teachers' instruction. AAC programs, through increasing interpersonal engagement, improve community involvement and student achievement. Big data allows academic record analysis to understand students' behaviour and establish a good English learning environment. Thus, the proposed BDA-ELTF model shows that it increases learning rate, language fluency, and student success compared to other popular strategies.

Keywords: English language teaching; big data analytics; BDA; augmentative; alternative communication system.

DOI: 10.1504/IJICT.2024.137223

International Journal of Information and Communication Technology, 2024 Vol.24 No.2, pp.113 - 127

Received: 10 Apr 2021
Accepted: 24 Aug 2021
Published online: 05 Mar 2024 *

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Title: Big data analytics and augmentative and alternative communication system for English language teaching

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