Building critical literacies in post-digital language classrooms, SusTech, China

Abolutely delighted to give a keynote on the 8th CLE Conference on Teaching and Learning, at The Center for Language Education (CLE) at the Southern University of Science and Technology (SUSTech) , Shenzhen on November 8, 2025 

The Southern University of Science and Technology (SUSTech) Shenzhen has achieved #2 ranking among the world’s young universities in the Nature Index 2021.

On a personal note, it’s been so special to reunite with former U. Cambridge former MPhil and Phd students: Dr Simin Zheng, Dr Pu Shi, Dr Jinshi Shao and Dr Danyang Zhang.

Nothing is more satisfying that seeing your former students thrive both personally and academically.

Building critical literacies in post-digital language classrooms

Prof Pascual Pérez-Paredes, Keynote Speaker

This talk argues for a reorientation of educational priorities: from technocentric training in Artificial intelligence (AI) tool usage to fostering the capacity to interrogate the sociotechnical systems that shape our digital realities. Drawing on recent research with higher education students in Europe, I will explore how learners interact with generative AI, what assumptions they hold about its authority, and how it influences their academic practices. The talk will examine how large language models challenge traditional notions of authorship, academic originality, and teacher agency. It will also discuss how digital literacies have evolved from functional ICT skills to encompass ethics and participation in algorithmic cultures. The talk advocates for a pedagogy that not only integrates AI but critically questions it.

Critical AI literacy (CAIL) research based on BsDLL

Pérez-Paredes, P., Curry, N., & Aguado Jiménez, P. (2025). Integrating critical corpus and AI literacies in applied linguistics: a mixed-methods study. Computer Assisted Language Learning, 1–27. https://doi.org/10.1080/09588221.2025.2569351

Pérez-Paredes, P., Curry, N., & Ordoñana-Guillamón, C. (2025). Critical AI literacy for applied linguistics and language education students. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2025-0005

Download the ALLE competences for CAIL (PDF) in Pérez-Paredes, Curry & Aguado (2025).

Research project website: https://www.um.es/languagecorpora/bsddl/

New OA paper out: Integrating critical corpus and AI literacies in applied linguistics

New OA paper paper with Niall Curry & Pilar Aguado in Computer Assisted Language Learning :

Pérez-Paredes, P., Curry, N., & Aguado Jiménez, P. (2025). Integrating critical corpus and AI literacies in applied linguistics: a mixed-methods study. Computer Assisted Language Learning, 1–27. https://doi.org/10.1080/09588221.2025.2569351

Download the paper here: https://tandfonline.com/doi/full/10.1080/09588221.2025.2569351

This study was conducted to examine the potential for the integration of corpus and AI literacies in language education and we used a sequential mixed-methods design, incorporating training days, workshops, task outputs, and focus groups as data. Broadly, we wanted to study how undergraduate learners from a southern European university engage with #corpus and #AI tools and we found that while learners initially lacked familiarity with corpus tools, they came to recognise their value in developing corpus-mediated linguistic awareness.

GLOTECH plenary 2025

Conference website: https://web.ua.es/es/dl2/glotech-2025

Plenary: Critical AI literacy (CAIL): language education and applied linguistics as central disciplinary areas

Download here the comptencies outlined in the Pérez-Paredes, P. Curry, N. & Ordoñana-Guillamón, C. (2025). Critical AI literacy for applied linguistics and language education students. Journal of China Computer-Assisted Language Learning (JCCALL). Special Issue Theme: Cultivating AI literacy in language education. https://doi.org/10.1515/jccall-2025-0005

Some references

Curry, N., & McEnery, T. (2024). Corpus linguistics for language teaching and learning: A research agenda. Language Teaching.

Curry, N., McEnery, T., & Brookes, G. (2025). A question of alignment–AI, GenAI and applied linguistics. Annual Review of Applied Linguistics.

Curry, N., Mark, G., Lee, H., McEnery, T., Burton, G., Clark, T., & Shin, D. (2024). Applying corpus research indirectly to language teaching materials and assessment development.

Cheung, L., & Crosthwaite, P. (2025). CorpusChat: integrating corpus linguistics and generative AI for academic writing development. Computer Assisted Language Learning, 1-27.

Eaton, S.E. Postplagiarism: transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. Int Journal Education Integrety 19, 23 (2023). https://doi.org/10.1007/s40979-023-00144-1

Galaczi, E., & Pastorino-Campos, C. (2025). Ethical AI for language assessment: Principles, considerations, and emerging tensions. Annual Review of Applied Linguistics. Advance online publication. https://doi.org/10.1017/S0267190525100081

Handley, Z. L. (2024). Has artificial intelligence rendered language teaching obsolete?. The Modern Language Journal.

Kern, R. (2021). Twenty-five years of digital literacies in CALL. Language, Learning & Technology.

Kern, R. (2025). New Literacies: A Historical Perspective. In The Palgrave Encyclopedia of Computer-Assisted Language Learning (pp. 1-5). Springer Nature Switzerland.

Lawrence, N. (2024). The Atomic Human .Understanding Ourselves in the Age of AI. Penguin.

Lévy, P. (2025). Symbolism, digital Culture and Artificial Intelligence. RED. Revista de Educación a Distancia, 25(81). http://dx.doi.org/10.6018/red.630211
Liu, Y., Hu, G. (2024). Research Trends in Applied Linguistics (2017–2021): A Scientometric Review of 42 Journals. In: Meihami, H., Esfandiari, R. (eds) A Scientometrics Research Perspective in Applied Linguistics. Springer, Cham. https://doi.org/10.1007/978-3-031-51726-6_3

Lusta, A., Demirel, Ö., & Mohammadzadeh, B. (2023). Language corpus and data driven learning (DDL) in language classrooms: A systematic review. Heliyon9(12).

Ma, Q. (2025). Corpus Literacy and Data-Driven Learning. In The Palgrave Encyclopedia of Computer-Assisted Language Learning (pp. 1-7). Cham: Springer Nature.

Ma, Q., Crosthwaite, P., Sun, D., & Zou, D. (2024). Exploring ChatGPT literacy in language education: A global perspective and comprehensive approach. Computers and education: Artificial intelligence7, 100278. https://doi.org/10.1016/j.caeai.2024.100278

McCarthy, M., McEnery, T., Mark, G. and Pérez-Paredes, P. (2021) Looking back on 25 years of TaLC: In conversation with Profs Mike McCarthy and Tony McEnery. In Pérez-Paredes, P. & Mark, G. (Eds.). Beyond concordance lines: applications of corpora in language education. John Benjamins, pp. 57–74. https://doi.org/10.1075/scl.102.03mcc

McEnery, T. (2025). Twenty years of Corpora. Corpora20(1), 1-2.

McEnery, T., & Wilson, A. (1997). Teaching and Language Corpora(TALC). ReCALL9(1), 5–14. doi:10.1017/S0958344000004572

McInnes, R. (2025, April 11). Resist the gen-AI-driven university: A call for reclaiming thought in learning and teaching. ASCILITE TELall Blog. https://blog.ascilite.org/resist-the-gen-ai-driven-university-a-call-for-reclaiming-thought-in-learning-and-teaching/

Mizumoto, A. (2023). Data-driven learning meets generative AI: Introducing the framework of metacognitive resource use. Applied Corpus Linguistics, 3(3), 100074.
Mohsen, M. A., Althebi, S., Alsagour, R., Alsalem, A., Almudawi, A., & Alshahrani, A. (2024). Forty-two years of computer-assisted language learning research: A scientometric study of hotspot research and trending issues. ReCALL, 36(2), 230–249. doi:10.1017/S0958344023000253

Ohashi, L., & Alm, A. (2025). Conversational AI Literacy. In The Palgrave Encyclopedia of Computer-Assisted Language Learning (pp. 1-6). Cham: Springer Nature.

The Open University. (2025). A framework for the learning and teaching of critical AI literacy skills. https://www.open.ac.uk/blogs/learning-design/wp-content/uploads/2025/01/OU-Critical-AI-Literacy-framework-2025-external-sharing.pdf

O’Sullivan, Í. (2007). Enhancing a process-oriented approach to literacy and language learning: The role of corpus consultation literacy. ReCALL19(3), 269-286.

Oshchepkova, T., Tolstykh, O. M., Panasenko, E. V., Nazarova, N. A., & Petrova, N. V. (2024). Examining changes in foreign language educators’ attitudes towards the use of computer-assisted learning. Studies in English Language and Education, 11(2), 630-649.

Pérez-Paredes, P. (2025). Corpus linguistics and Computer Assisted Language Learning. In Hilary Nesi and Petar Milin (Eds.) International Encyclopedia of Language and Linguistics, 3rd Edition. Elsevier.

Pérez-Paredes, P., Mark, G. & O’Keeffe, A. (2025). Corpus linguistics for language learning research. Research Methods in Applied Linguistics (RMAL). John Benjamins. URL.

Pérez-Paredes, P. Curry, N. & Ordoñana-Guillamón, C. (2025). Critical AI literacy for applied linguistics and language education students. Journal of China Computer-Assisted Language Learning (JCCALL). Special Issue Theme: Cultivating AI literacy in language education. https://doi.org/10.1515/jccall-2025-0005

Pérez-Paredes, P. & Boulton, A. (2025). Data-driven Learning in and out of the Language Classroom. Cambridge University Press. https://doi.org/10.1017/9781009511384

Pérez-Paredes, P. & Curry, N. (2025). Corpus linguistics in Languages for Specific Purposes (LSP). In Thorsten Roelcke, Ruth Breeze and Jan Engberg (Eds.), Handbook of Specialized Communication, pp. 407-432. De Gruyter. https://doi.org/10.1515/9783110672633-020

Pérez-Paredes, P. & Mark, G. (Eds.) (2021). Beyond concordance lines: applications of corpora in language education. John Benjamins.

Pérez-Paredes, P. & Ordoñana-Guillamón, C. (2025). Future challenges and opportunities for data-driven learning. In McCallum, L. & Tafazoli, D. (Eds.) The Palgrave Encyclopedia of Computer-Assisted Language Learning. Springer. https://doi.org/10.1007/978-3-031-51447-0_350-1

Pérez-Paredes, P. Curry, N. & Aguado Jiménez, P. (forthcoming). Enriching AI literacy with corpus-based pedagogy.

Seargeant, P. (2023). The future of language. Bloomsbury.

Stockwell, G. (2024). ChatGPT in language teaching and learning: Exploring the road we’re travelling. Technology in Language Teaching & Learning6(1), 2273. https://doi.org/10.29140/tltl.v6n1.2273

Son, J. B., Ružić, N. K., & Philpott, A. (2025). Artificial intelligence technologies and applications for language learning and teaching. Journal of China Computer-Assisted Language Learning, 5(1), 94-112

Sun, W., & Park, E. (2023). EFL learners’ collocation acquisition and learning in corpus-based instruction: A systematic review. Sustainability15(17), 13242.

Sutoris, P. (2025, May 21). Our future may depend on the humanities. Wonkhe. https://wonkhe.com/blogs/our-future-may-depend-on-the-humanities/

ELT in Chile podcast episode 53: the future of Data-driven learning

In this new episode of ELT in Chile, Kevin Frank Gerigk and José Luis Poblete discuss the future of Data-Driven Learning (DDL) with Pascual Pérez-Paredes.

From classroom applications to research perspectives, we explore where DDL is heading and what opportunities it can offer teachers and students.

You can check the episode here: