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School of Languages at XJTLU Conference 2024
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We find ourselves at a pivotal moment where the role of generative AI and other technological tools is reshaping the way we teach and learn languages. The question that lies before us is not whether these innovations will shape the future, but rather how we, as educators, will harness their potential to create meaningful and effective language instruction.
 
The title of our conference, No Fate: The Future is Not Set, underscores our belief that the future is not predetermined. We hope that our conference will serve both as a platform for collaboration and a catalyst for change as it is via the collective effort of educators, researchers, and innovators that the trajectory of language teaching and learning will be determined. By fostering collaboration, sharing insights, and pushing the boundaries of what is possible, we can shape the future of language education.
 

Sunday, June 2 • 10:30 - 11:00
Navigating Academic Writing Challenges in an EMI setting

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This study investigates the academic writing challenges faced by Chinese undergraduate students in English Medium Instruction (EMI) settings, identifying a dual hurdle: mastering academic presentation of subject matter and employing precise, effective English. Highlighting recognized challenges, where EMI instructors often have limited English proficiency and English for Academic Purposes (EAP) instructors may lack subject expertise, this research adopts in-depth interviews to outline these issues and potential mitigation strategies. It advocates for collaboration between EMI and EAP instructors as a key solution, suggesting that interdisciplinary partnerships can significantly address these challenges. Furthermore, the research proposes integrating artificial intelligence (AI) into EMI environments. AI models, trained in both EMI and EAP contexts, could act as invaluable teaching assistants, offering support to both educators and students to improve writing outcomes. The findings emphasize the importance of leveraging AI and collaborative approaches to enhance academic writing instruction, presenting key insights for educators and institutions aiming to refine EMI strategies in the AI era.

Speakers
avatar for Xinfeng Quan

Xinfeng Quan

Lecturer, Westlake University
Dr. Xinfeng Quan earned his BS in Chemistry from Fudan University, China, followed by a PhD in Chemistry from the University of Pittsburgh. Before joining Westlake University as a Chemistry Lecturer in 2022, he dedicated seven years to teaching at the Sichuan University - Pittsburgh... Read More →
avatar for Shuyang Da

Shuyang Da

Lecturer, Westlake University
Dr. Shuyang Da is a lecturer of English as a Second Language at Westlake University. She obtained her B.E. in English and Mathematical Finance from Xiamen University. In 2022, she received her Ph.D. in Foreign Languages and Literature from Zhejiang University and was listed as the... Read More →
GT

Gregory Travis

Westlake University


Sunday June 2, 2024 10:30 - 11:00 CST
HS G03
  EAP/ESP, Presentation

Attendees (4)