Sign up to save your podcasts
Or
Share Sn3. Ep2: A Conversation with Dr. Peter Crosthwaite about AI, Corpus Linguistics, and Data-Driven Learning
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Sn3. Ep2: A Conversation with Dr. Peter Crosthwaite about AI, Corpus Linguistics, and Data-Driven Learning
This thought-provoking episode delves into the intersection of artificial intelligence, modern pedagogical approaches, and language acquisition, with a particular focus on the transformative potential of corpus linguistics in second language learning. The discussion illuminates how corpus linguistics, by analyzing vast collections of authentic language data, can uncover intricate patterns of language use. For second language learners, however, these patterns—such as collocations like "fast car" versus "quick car"—can be challenging to grasp. The episode explores how AI-driven corpus tools can expedite this learning process by exposing learners to these linguistic patterns more systematically and efficiently than traditional methods. By combining corpus technology with guided activities, educators can help students understand and internalize complex language structures more quickly and effectively, bridging the gap between natural language acquisition and formal language instruction.
Dr. Peter Crosthwaite is an Associate Professor in the School of Languages and Cultures at UQ (since 2017), formerly assistant professor at the Centre for Applied English Studies (CAES), University of Hong Kong (since 2014).
Additionally, Peter is Editor-in-Chief for the Australian Review of Applied Linguistics (from 20) and currently serving on the editorial boards of the Q1 journals IRAL, Journal of Second Language Writing, Journal of English for Academic Purposes, and System, as well as Applied Corpus Linguistics, a new journal covering the direct applications of corpora to teaching and learning.
Links to the research discussed:
Crosthwaite, P., & Baisa, V. (2023). Generative AI and the end of corpus-assisted data-driven learning? Not so fast!. Applied Corpus Linguistics, 3(3), 100066.
https://doi.org/10.1016/j.caeai.2024.100278
Crosthwaite, P., & Baisa, V. (2023). Generative AI and the end of corpus-assisted data-driven learning? Not so fast!. Applied Corpus Linguistics, 3(3), 100066.
https://doi.org/10.1016/j.acorp.2023.100066
Crosthwaite, P. (Ed.). (2024). Corpora for language learning: Bridging the research-practice divide. Taylor & Francis.
View all episodes
By Johanna David-Tramantano (Leveraging Literacy, LLC)This thought-provoking episode delves into the intersection of artificial intelligence, modern pedagogical approaches, and language acquisition, with a particular focus on the transformative potential of corpus linguistics in second language learning. The discussion illuminates how corpus linguistics, by analyzing vast collections of authentic language data, can uncover intricate patterns of language use. For second language learners, however, these patterns—such as collocations like "fast car" versus "quick car"—can be challenging to grasp. The episode explores how AI-driven corpus tools can expedite this learning process by exposing learners to these linguistic patterns more systematically and efficiently than traditional methods. By combining corpus technology with guided activities, educators can help students understand and internalize complex language structures more quickly and effectively, bridging the gap between natural language acquisition and formal language instruction.
Dr. Peter Crosthwaite is an Associate Professor in the School of Languages and Cultures at UQ (since 2017), formerly assistant professor at the Centre for Applied English Studies (CAES), University of Hong Kong (since 2014).
Additionally, Peter is Editor-in-Chief for the Australian Review of Applied Linguistics (from 20) and currently serving on the editorial boards of the Q1 journals IRAL, Journal of Second Language Writing, Journal of English for Academic Purposes, and System, as well as Applied Corpus Linguistics, a new journal covering the direct applications of corpora to teaching and learning.
Links to the research discussed:
Crosthwaite, P., & Baisa, V. (2023). Generative AI and the end of corpus-assisted data-driven learning? Not so fast!. Applied Corpus Linguistics, 3(3), 100066.
https://doi.org/10.1016/j.caeai.2024.100278
Crosthwaite, P., & Baisa, V. (2023). Generative AI and the end of corpus-assisted data-driven learning? Not so fast!. Applied Corpus Linguistics, 3(3), 100066.
https://doi.org/10.1016/j.acorp.2023.100066
Crosthwaite, P. (Ed.). (2024). Corpora for language learning: Bridging the research-practice divide. Taylor & Francis.