SSLW2026: Full Schedule

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09:30 JST

Coffee & Networking

Friday October 23, 2026 09:30 - 11:40 JST

International Conference Hall III

Friday October 23, 2026 09:30 - 11:40 JST
International Conference Hall III

Networking, Open Meeting

11:40 JST

Lunch

Friday October 23, 2026 11:40 - 12:45 JST

International Conference Hall III

Friday October 23, 2026 11:40 - 12:45 JST
International Conference Hall III

Lunch

12:45 JST

Academic writing for graduate students in Japan

Friday October 23, 2026 12:45 - 13:15 JST

International Conference Hall III

This presentation reports on a first-semester graduate L2 writing course in Japan, using survey and interview data to support a more flexible, student-centered approach that includes AI literacy. It addresses learner needs, anxiety, and agency, evaluates outcomes, and reflects on implications for context-sensitive, AI-supported graduate writing instruction.

Speakers

Laura MacGregor

Professor, Gakushuin University

Friday October 23, 2026 12:45 - 13:15 JST
International Conference Hall III

Paper

13:20 JST

AI-embedded doctoral writing instruction: A longitudinal case study in an education faculty

Friday October 23, 2026 13:20 - 13:50 JST

International Conference Hall III

This longitudinal study traces how a research writing course for doctoral students at a Hong Kong university responded to AI over three semesters. Drawing on teaching materials and student reflections, it explores the instructor’s evolving pedagogical practices grounded in academic literacies and genre-based approaches, and students’ experiences of AI-influenced research writing.

Speakers

Wenxin Zhou

Xiaoling Liu

Friday October 23, 2026 13:20 - 13:50 JST
International Conference Hall III

Paper

14:25 JST

Coffee Break

Friday October 23, 2026 14:25 - 14:55 JST

International Conference Hall III

Friday October 23, 2026 14:25 - 14:55 JST
International Conference Hall III

Coffee Break, Open Meeting

14:55 JST

Reconfiguring teacher-writer-AI relationships through prompt literacy in L2 revision

Friday October 23, 2026 14:55 - 15:25 JST

International Conference Hall III

This study examines how Korean EFL students craft prompts for AI feedback and how teacher guidance shapes evaluative labor in revision. Thematic analysis identified three prompt foci and recurring construction gaps. Findings show that teacher-guided prompt design functions as relational scaffolding in human-centered AI-mediated L2 writing revision.

Speakers

Claudia Sangmi Yun

Faculty, Kangwon National University

I’m a university English educator and researcher in South Korea who is fascinated by what happens when language learners, teachers, and AI meet in the classroom. My current work explores AI-mediated L2 writing, prompt literacy, and how learners can move from simply "using AI" to... Read More →

Hyekyung Yu

Friday October 23, 2026 14:55 - 15:25 JST
International Conference Hall III

Paper

15:30 JST

Exploring teachers’ human role in AI-assisted second language writing classroom: A process writing perspective

Friday October 23, 2026 15:30 - 16:00 JST

International Conference Hall III

This mixed-methods study examines how EFL students in Argumentative Writing classes, where GenAI use is permitted, perceive teacher support across pre-writing, drafting, and revising stages. Surveys (M = 2.75/4) show that teacher scaffolding remains valued, especially during drafting and revision. Interviews will uncover how students balance teacher guidance with ChatGPT.

Speakers

Celiacika Gustisiwi Puteri

Bambang Yudi Cahyono

Friday October 23, 2026 15:30 - 16:00 JST
International Conference Hall III

Paper

16:05 JST

Linguistic prejudice toward GenAI-style in EAL writing

Friday October 23, 2026 16:05 - 16:35 JST

International Conference Hall III

This case study explores how four first-year EAL students experienced linguistic prejudice toward “GenAI-style” writing. Findings show polished writing was often viewed suspiciously, promoting disclosure management, stylistic re-voicing, and epistemic vigilance. The study advocates inclusive pedagogy that treats GenAI-style as a learnable resource while supporting ethical use, agency, and voice.

Speakers