
Peter Crosthwaite
I am an Associate Professor in the School of Languages and Cultures at UQ (since 2017), having formerly been an assistant professor at the Centre for Applied English Studies (CAES), University of Hong Kong (since 2014). I hold an MA TESOL from the University of London and an M.Phil/Ph.D in applied linguistics from the University of Cambridge.
My areas of research and supervisory expertise include corpus linguistics and the use of corpora for language learning (known as 'data-driven learning'), as well as English for General and Specific Academic Purposes. I have published in leading journals including Language Learning, Corpus Linguistics and Linguistic Theory, Studies in Second Language Acquisition, Journal of English for Academic Purposes, English for Specific Purposes, Computer-Assisted Language Learning, ReCALL, System, Journal of Second Language Writing, IRAL and the International Journal of Learner Corpus Research, as well as a collaboration with international scholars published in the Proceedings of the National Academy of Sciences (PNAS).
I am the author of the monograph 'Learning the language of Dentistry: Disciplinary corpora in the teaching of English for specific academic purposes' as part of Benjamins' Studies in Corpus Linguistics series (with Lisa Cheung, published 2019), as well as the edited volumes 'Data Driven Learning for the Next Generation: Corpora and DDL for Pre-tertiary Learners' (published 2019) and 'Referring in a second language: Reference to person in a multilingual world' (with Jonathon Ryan, published 2020) with Routledge.
I am the editor-in-chief of the Australian Review of Applied Linguistics (from 2024), and sit on the editorial boards of English for Academic Purposes, IRAL, System, as well as Applied Corpus Linguistics, a new journal covering the direct applications of corpora to teaching and learning.
My areas of research and supervisory expertise include corpus linguistics and the use of corpora for language learning (known as 'data-driven learning'), as well as English for General and Specific Academic Purposes. I have published in leading journals including Language Learning, Corpus Linguistics and Linguistic Theory, Studies in Second Language Acquisition, Journal of English for Academic Purposes, English for Specific Purposes, Computer-Assisted Language Learning, ReCALL, System, Journal of Second Language Writing, IRAL and the International Journal of Learner Corpus Research, as well as a collaboration with international scholars published in the Proceedings of the National Academy of Sciences (PNAS).
I am the author of the monograph 'Learning the language of Dentistry: Disciplinary corpora in the teaching of English for specific academic purposes' as part of Benjamins' Studies in Corpus Linguistics series (with Lisa Cheung, published 2019), as well as the edited volumes 'Data Driven Learning for the Next Generation: Corpora and DDL for Pre-tertiary Learners' (published 2019) and 'Referring in a second language: Reference to person in a multilingual world' (with Jonathon Ryan, published 2020) with Routledge.
I am the editor-in-chief of the Australian Review of Applied Linguistics (from 2024), and sit on the editorial boards of English for Academic Purposes, IRAL, System, as well as Applied Corpus Linguistics, a new journal covering the direct applications of corpora to teaching and learning.
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Papers by Peter Crosthwaite
become key focal points and challenges in education. Different subjects and target audiences require varied
norms and strategies for implementing Generative AI, such as ChatGPT. These differences directly impact the
educational integration of Generative AI in various educational contexts. To address these disparities and
establish common ground, we propose the concept of ChatGPT literacy to bridge research gaps. In this study, we
tailor the concept of ChatGPT literacy specifically for language teachers, aiming to delineate the essential
competencies needed to proficiently and ethically use ChatGPT as a language learning and teaching tool. We
propose a theoretical framework encompassing six fundamental constructs: benefits, limitations, prompts,
evaluation (of ChatGPT responses), assessment (assisted by ChatGPT), and ethics, to comprehensively conceptualise
and evaluate ChatGPT literacy. Drawing on both quantitative and qualitative survey data from 492
language teachers across 41 countries, we validate the proposed ChatGPT literacy framework by examining
teachers’ practices and challenges associated with ChatGPT usage. Our analysis of Likert-scale data, utilizing
item and confirmatory techniques, confirms the effectiveness of the six-construct framework in defining ChatGPT
literacy. In addition, we collected qualitative data through open questions and conducted thematic analysis,
demonstrating that ChatGPT has been integrated throughout the instructional cycle, from material preparation to
formative and summative assessment phases. These quantitative and qualitative findings have significant implications
for a range of stakeholders, including language educators, learners, AI technology developers, and
policymakers, providing valuable insights to inform decisions regarding ChatGPT integration in language education.
Ultimately, our study equips relevant stakeholders with the necessary competencies to responsibly
exploiting ChatGPT’s potential in language and other subject areas.