Big data analytics and augmentative and alternative communication system for English language teaching
by Wei Tang; Yalan Yang; Qikun Hou
International Journal of Information and Communication Technology (IJICT), Vol. 24, No. 2, 2024

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.

Online publication date: Tue, 05-Mar-2024

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