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

arXiv: https://arxiv.org/abs/2207.10572 · HTML: https://mlsanity.com/paper/2207.10572/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 31 references that are in the map.
- First posted on arXiv 19 Jul 2022.

## Built on by (most cited first, 1 of 1)

- [Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education](https://mlsanity.com/paper/2401.02985/) (2024)

## Abstract (arXiv)

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.
