Speakers: Prof. Qing MA (Education University of Hong Kong, Hong Kong SAR)
Moderator: Assoc. Prof. Yun WEN (Nanyang Technological University, Singapore)
Curated by: APSCE Technology-Enhanced Language Learning (TELL) SIG
Date: 28 September 2026 (Monday)
Time: 15:00-16:00 (UTC+8)
Register before 26 September 2026:
https://us06web.zoom.us/webinar/register/WN_xWg-qZKATpCHt4v5FO0Q_Q
Abstract:
As corpus technology and generative AI reshape language education, teachers need evidence-based approaches to integrating both into practice. This mixed-methods study examined how over 150 language teachers from 28 countries collaboratively developed AI-empowered technological pedagogical and content knowledge for corpus technology (AI-TPACK-CT) through online professional development. The programme combined design-based learning with the Community of Inquiry (CoI) framework. Discussion posts, lesson plans, and interviews were analysed to investigate engagement, knowledge co-construction, and design outcomes. Social network analysis (SNA) mapped interaction patterns and informed the selection of one central and two peripheral participants for comparative case studies.
Quantitative CoI analyses revealed high social and cognitive presence, suggesting conditions conducive to collaborative inquiry. Qualitative findings identified distinct trajectories of TPACK development associated with teachers’ engagement and professional experience, highlighting corpus knowledge as a key component integrated with AI and pedagogy. By connecting interaction patterns, cognitive processes, and lesson-design outcomes, the study extends CoI operationalisation beyond discussion posts. It offers an empirically grounded account of AI-TPACK-CT co-construction, demonstrates the complementary value of CoI and SNA in investigating teacher learning, and informs scalable professional development supporting collaborative inquiry, reflective practice, and pedagogically informed integration of AI and corpus technology.
Biodata:
Qing Ma is Professor at the Department of Linguistics and Modern Language Studies and currently serves as Associate Dean (Research & Postgraduate Studies) at Faculty of Humanities, The Education University of Hong Kong. Her main research interests include second language vocabulary acquisition, corpus linguistics, corpus-based literature studies, corpus-based language pedagogy (CBLP), computer assisted language learning (CALL), mobile assisted language learning (MALL), and AI in language education. She is Co-Editor in Chief of Language Learning & Technology, and serves as Associate Editor for Computer Assisted Language Learning and International Journal of Computer-Assisted Language Learning and Teaching.