人文学院研究人员 - STOCKWELL Glenn 教授

人文学院研究人员 - STOCKWELL Glenn 教授
语言与现代语言学系教授
研究领域:
- Language Education
- Linguistics
Welcome to the Department of Linguistics and Modern Language Studies of The Education University of Hong Kong! Being a young department, we have successfully built strengths in language studies and education in the past decade.I started my research interests in language technology in the computer assisted language learning (CALL) and mobile assisted language learning (MALL) contexts.
I have also developed a strong interest in corpus linguistics, especially the corpus applications in language education. In addition, I have created two corpus websites: (1) the Parallel EAP Corpora for research purposes and (2) the Corpus-Aided Platform for Language Teachers (CAP) for teaching purposes. In recent years, I have led our EdUHK corpus team and created a new language pedagogy: corpus-based language pedagogy (CBLP). Currently, my research work focuses on how to enhance students’ EAP skills with corpus support and how to help pre- and in-service language teachers develop CBLP and their professional knowledge for language teaching.
I genuinely enjoy working with research students and find the supervisory relationship one of the most rewarding aspects of academic life. If you're curious about how technology, particularly artificial intelligence, is reshaping how we teach and learn languages, I'd be delighted to hear from you. I take a collaborative approach to supervision, working closely with students to develop their ideas while supporting them to find their own voice as researchers. Whether you're interested in mobile learning, AI-assisted writing, teacher professional development, or learner autonomy, I'm happy to discuss how your interests might develop into a research project. I also encourage my students to present at conferences and publish their work, and I'll support you in building the networks and skills you need for a successful academic career. Please feel free to reach out.
Recognition
- Stanford–Elsevier World's Top 2% Scientists (single-year 2024 and career impact)
- British Association of Applied Linguistics Pit Corder Plenary Lecture (2023): first technology-focused researcher selected
Scholarly Books
- Co-editor, Cambridge Handbook of Technology in Language Teaching and Learning (Cambridge University Press, 2025)
- Mobile Assisted Language Learning: Concepts, Contexts & Challenges (Cambridge University Press, 2022): Runner-up, BAAL Best Book Award 2023
- Co-author, CALL Dimensions: Options and Issues in Computer Assisted Language Learning (Lawrence Erlbaum, 2006)
Editorial Leadership
- Editor-in-Chief, Computer Assisted Language Learning (ranked #1/297 in Linguistics; top 1% in Education Research; 5-year IF 8.5; CiteScore 23.5, 2024
RPg Supervision
- 9 PhD theses supervised to completion; students guided to 17 single-authored publications (8 in Scopus)
- PhD student Yurika Ito: Jaclyn Ng Shi Ing Award for Best PhD Presentation, 21st International CALL Research Conference (2022)

