Big Data and Education: using big data analytics in language learning

TL;DR

This paper discusses the potential of big data analytics in language learning, highlighting tools, methods, and applications that can transform education through data-driven insights.

Contribution

It provides an overview of educational data mining and learning analytics, focusing on their application in language learning and discussing relevant tools and techniques.

Findings

Big data enables personalized language learning experiences.

Educational data mining can improve teaching strategies.

Learning analytics offers insights into learner behavior.

Abstract

Working with big data using data mining tools is rapidly becoming a trend in education industry. The combination of the current capacity to collect, store, manage and process data in a timely manner, and data from online educational platforms represents an unprecedented opportunity for educational institutes, learners, educators, and researchers. In this position paper, we consider some basic concepts as well as most popular tools, methods and techniques regarding Educational Data Mining and Learning Analytics, and discuss big data applications in language learning, in particular.