Plenary Speakers – AI in Writing Pedagogy
Our plenary speakers are leading scholars in language, technology, and education who examine how generative AI is reshaping academic writing and its pedagogy. Their work addresses the ethical, creative, and pedagogical dimensions of this transformation.
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Thomas Mandl
Thomas Mandl is a professor of information science at the University of Hildesheim in Germany, where his research explores the intersection of technology and human behaviour. His work spans several key areas, including information literacy, information retrieval, and human-computer interaction (HCI). He is currently leading projects on timely topics such as Hate Speech Detection, Image Analysis in the Digital Humanities, and the use of AI in education. He has widely published his findings and presents his work at national and international conferences.
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Marije Michel
Marije Michel is a professor of second language acquisition (SLA) and language learning at the University of Groningen in the Netherlands. Her research explores the cognitive processes and social interactions that underpin language learning, with a particular focus on task-based language teaching (TBLT) and the use of eye-tracking technology to study language processing. She is currently investigating the role of digitally mediated learning and the well-being of newcomers in the Netherlands. Her publications and academic presentations offer critical perspectives on the future of language education.
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Steven L. Thorne
Steven L. Thorne is a professor of second language acquisition at Portland State University in USA. His research explores the intersection of language, culture, and technology, focusing on cultural-historical and usage-based approaches to language development and language use. His current projects examine technology-mediated language learning in both formal and informal settings as well as indigenous language maintenance and revitalization. A prolific author, Steven has presented at numerous national and international conferences, offering cutting-edge insights into technology-mediated language learning.
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