Big data and language learning: Opportunities and challenges

Date
2021-02-12
Authors
Godwin-Jones, Robert
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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)
Volume
25
Number/Issue
1
Starting Page
4
Ending Page
19
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Abstract
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.
Description
Keywords
Big Data, Artificial Intelligence, Neural Networks, Learning Analytics, Data Ethics
Citation
Godwin-Jones, R. (2021). Big data and language learning: Opportunities and challenges. Language Learning & Technology, 25(1), 4–19. http://hdl.handle.net/10125/44747
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