Model of Education Technology for Language Pedagogy in Higher Education

Abstract

Education technology enables advances in every aspect of education. This paper explored a model for language pedagogy through Educational Data Mining (EDM). EDM has offered important contributions in the last decade. With EDM, many predictions could be made in terms of learning paths, patterns for success and failure, and students’ preferences. Such predictions would be much needed for decision-making, business, and academic-wise. However, not enough EDM has been done regarding language learning. This present study provides a potential model for EDM in language pedagogy. A substantial review of the literature was complemented with samples of data from students’ language learning performance as illustrations for the model. Corpus for this study was students’ writing from various universities. Results showed the need to integrate language input, process, and output into EDM and create a base model of learning. Predictions for learning challenges, problems, and failures would be beneficial to improve teaching and learning. In conclusion, EDM was inevitably needed in the rise of online learning. Practical implications for language platforms and digital language learning were also discussed.