Data-driven Learning in and out of the Language Classroom. Pérez-Paredes, P., & Boulton, A. (2025). Cambridge University Press, 102 pages, ISBN: 978-1-009-51143-8

Authors

DOI:

https://doi.org/10.30827/portalin.vi45.34881

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Author Biography

Jing Zhang, Universiti Sains Malaysia

Jing Zhang is a PhD candidate studying the educational technology at Universiti Sains Malaysia, with a focus on computer-aided language learning, educational psychology as research interests. She has published several papers in Acta Psychologica, European Journal of Education, Computers and Education: Artificial Intelligence.

References

Curry, N., Baker, P., & Brookes, G. (2024). Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT. Applied Corpus Linguistics, 4(1), 100082. https://doi.org/10.1016/j.acorp.2023.100082

Gee, J., & Hayes, E. (2011). Language and learning in the digital age. London: Routledge.

Zhao, H., Dang, T. N. Y., & Finlayson, N. (2025). Operationalising critical thinking in postgraduate disciplinary writing: insights from corpus and cluster analyses of lecturer feedback. Assessment & Evaluation in Higher Education, 50(3), 422-441. https://doi.org/10.1080/02602938.2024.2406869

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Published

2026-01-30

How to Cite

Zhang, J. (2026). Data-driven Learning in and out of the Language Classroom. Pérez-Paredes, P., & Boulton, A. (2025). Cambridge University Press, 102 pages, ISBN: 978-1-009-51143-8. Porta Linguarum. An International Journal of Foreign Language Teaching and Learning, (45), 343–345. https://doi.org/10.30827/portalin.vi45.34881

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Section

Book Review