Big data and language learning: Opportunities and challenges

May 7, 2021, 2:06 a.m.
Feb. 15, 2022, 12:27 a.m.
Feb. 15, 2022, 12:27 a.m.
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Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
Godwin-Jones, Robert
Robert Godwin-Jones
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial neural networks with impressive language capabilities. In education, data provides means to track learner performance and improve learning, especially through the application of data mining to expose hidden patterns of learner behavior. Massive data collection also raises issues of transparency and fairness. Human monitoring is essential in applying data analysis equitably. Big data may have as powerful an impact in language learning as it is having in society generally; it is an important resource to have available, but one to use with care and caution.
Made available in DSpace on 2021-02-17T03:24:39Z (GMT). No. of bitstreams: 1 25_01_10125-44747.pdf: 428717 bytes, checksum: a080de4fc357c9335f08609867cf8d1d (MD5) Previous issue date: 2021-02-12
Godwin-Jones, R. (2021). Big data and language learning: Opportunities and challenges. Language Learning & Technology, 25(1), 4–19.
Emerging Technologies
Language Learning & Technology
University of Hawaii National Foreign Language Resource Center Center for Language & Technology (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin)
Big Data Artificial Intelligence Neural Networks Learning Analytics Data Ethics
Big data and language learning: Opportunities and challenges