Plenary Speakers

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Building Knowledge of Generative AI in Applied Linguistics

2025 Technology for Second Language Learning Conference

November 6-8, 2025

Hybrid (Online & Iowa State University)



Plenary Speakers

Tony Berber Sardinha

Pontifical Catholic University of Sao Paulo, Brazil

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Abstract: Coming soon.

Academic Bio: Dr. Berber Sardinha is a Professor with the Applied Linguistics and Language Studies Graduate Program at the Pontifical Catholic University of Sao Paulo (PUC-SP), Brazil.

Tony holds a BA in English and an MA in Applied Linguistics from the Pontifical Catholic University of Sao Paulo, and a PhD in English from the University of Liverpool, in the United Kingdom, under Prof. Michael Hoey’s supervision. He was a visiting researcher at Northern Arizona University, Flagstaff, USA, working under Prof. Douglas Biber’s supervision, in the early 2000s. He has used Corpus Linguistics approaches to look at various topics in linguistic description and application, such as Register Variation, Metaphor Analysis, Applied Linguistics, Language Teaching, Multi-Dimensional Analysis, Forensic Linguistics, and more recently, Artificial Intelligence.

Tony currently heads several funded projects, which rely on corpus-based approaches to investigate contemporary issues, such as the Infodemic, as well as to extend Multi-Dimensional Analysis to model both verbal and visual language, through corpora of texts and images. He is the Editor-in-Chief of the Linguistics Journal DELTA, Consulting Editor for Register Studies, and serves on the board of major journals such as the International Journal of Corpus Linguistics, Corpora, Applied Corpus Linguistics, English for Specific Purposes, Applied Linguistics, Metaphor in the Social World, in addition to being on the board of the book series Studies in Corpus Linguistics, and being the Corpus Linguistics area editor for the Encyclopedia of Applied Linguistics (2nd ed.).

Read more about Dr. Berber Sardinha here

Serge Bibauw

Université Catholique de Louvain, Belgium

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Abstract: Coming soon.

Academic Bio: Dr. Serge Bibauw is an Assistant Professor of French language teaching at the University of Louvain (UCLouvain), in Louvain-la-Neuve, Belgium. He is affiliated with the Institute for the Analysis of Change in Contemporary and Historical Societies (IACCHOS), co-directing the Cripedis research center, and co-affiliated with Girsef. He collaborates intensely with researchers at CENTAL, CECL and TeAMM research groups. He is also an associated professor at ITEC, an imec research group at KU Leuven. He was previously a professor and a French and English teacher trainer at Universidad Central del Ecuador.

He studies conversational AI for language learning, or dialogue-based CALL, more precisely task-oriented chatbots (or dialogue systems) for language learning, at the intersection of task-based language teaching (TBLT), computer-assisted language learning and natural language processing (NLP). His research focuses on the instructional design and the evaluation of the effectiveness of conversational AI for L2 proficiency development, particularly L2 vocabulary size, spoken and written L2 fluency, and longitudinal assessment of L2 proficiency in various instructed SLA contexts.

Read more about Dr. Serge Bibauw here

Sanghee Kang

Generative AI Feedback for Language Learning: Possibilities, Challenges, and Future Directions

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Abstract: Coming soon.

Academic Bio: Dr. Sanghee Kang is an Assistant Professor of Second Language Acquisition, English as a Second Language and Korean Studies in the Department of Languages, Cultures & Applied Linguistics at Carnegie Mellon University (CMU), in Pittsburgh, USA. She earned her Ph.D. in Applied Linguistics from Georgia State University, where her dissertation focused on the role of chatbot-based interaction and learner characteristics in the alignment-driven learning of second language grammar and pragmatics.

Her research interests include technology-oriented second language acquisition, with a particular focus on the role of generative AI, task-based language teaching, and digital multimodal composition. Her current work examines generative AI in language learning, focusing on AI-generated feedback, collaborative writing, and chatbot-based interaction.

Her research has appeared in Modern Language Journal, System, Foreign Language Annals, Computers and Composition, Language Teaching Research, Language Awareness, and International Journal of Applied Linguistics, among others.

Read more about Dr. Sanghee Kang here

Yasin Karatay

Cambridge University Press & Assessment, UK

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Abstract: Coming soon.

Academic Bio: Dr. Yasin Karatay is a Senior Research Manager at Cambridge University Press & Assessment, where he leads research projects on conversational AI and spoken dialogue systems in L2 speaking assessment and learning contexts. His research interests include computer-based language testing, spoken dialogue systems, automated writing evaluation, and test validation.

He holds a PhD in Applied Linguistics and Technology from Iowa State University. Before joining Cambridge, he was a lecturer at Düzce University (Türkiye) and a teaching and research assistant at Iowa State University (USA). Following the completion of his PhD, he worked as a Postdoctoral Research Associate at Iowa State University, contributing to the revision of a Global Online Course project sponsored by the U.S. Department of State. His current work focuses on leveraging cutting-edge technologies to enhance L2 speaking assessment and learning materials. He also teaches at the MSt in English Language Assessment programme at the University of Cambridge.

Read more about Dr. Yasin Karatay here

Hye-won Lee

Cambridge University Press & Assessment, UK

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Abstract: Coming soon.

Academic Bio: Dr. Hye-won Lee is a Senior Research Manager at Cambridge University Press & Assessment, where she leads research projects focused on developing next-generation assessments. She also provides research-based evidence to validate the quality of both current and future assessments. Her current research interests include promoting language assessment literacy for the student constituency and defining language ability in data-driven diagnostic assessment.

Hye-won holds a PhD in Applied Linguistics and Technology from Iowa State University (USA), where she specialised in computer-assisted language assessment, argument-based validation, and quantitative research methods. Prior to joining Cambridge, she participated in long-term research projects as an intern at the Center for Applied Linguistics and Educational Testing Service in the USA. She also taught and advised in-service English teachers in TESOL Master’s programmes in South Korea. Hye-won has delivered numerous presentations at regional, national, and international conferences and has published in peer-reviewed journals (e.g., Applied Linguistics), edited volumes, encyclopedias, and research reports.

Read more about Dr. Hye-won Lee here

Jing Xu

Cambridge University Press & Assessment, UK

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Abstract: Coming soon.

Academic Bio: Dr Jing Xu is Head of Propositions Research-English at Cambridge University Press & Assessment, where he oversees innovative research on technology-mediated English language assessment and learning. He received his PhD in Applied Linguistics & Technology from Iowa State University.

His research interests are centred on the application of cutting-edge AI technologies to English language education and the related validity issues. In collaboration with his colleagues at Cambridge, his current work focuses on automarking of constructed responses in high-stakes L2 English assessment and AI-mediated English-speaking tasks. He is Co-Chair of the Automated Language Assessment SIG at the International Language Testing Association (ILTA) and a Subject Matter Lead for the Cambridge Institute for Automated Language Teaching and Assessment (ALTA). He also teaches at the MSt in English Language Assessment programme at the University of Cambridge.

Read more about Dr. Jing Xu here


Contact: tsll@iastate.edu