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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.
 

Saturday, June 1 • 09:00 - 10:00
Integrating Generative A.I. into Recursive Vocabulary Learning Design into EAP Modules: Student Perceptions and Impact on Vocabulary Retention

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An extensive working vocabulary and the ability to autonomously learn new lexical items can be considered a fundamental aspect of success for English for academic purposes (EAP) students. Unsurprisingly, the ability to comprehend more in listening and reading tasks, and to more specifically and elaboratively communicate in writing and speaking tasks can be greatly enhanced if students have breadth and depth of lexical resources to draw from. Webb and Nation (2017) suggest that repeated meaningful exposure to, and use of novel vocabulary items leads to both increased learner retention, and the ability to functionally use them, implying that syllabi be designed intentionally to facilitate this repeated exposure. The recent advent of generative A.I (G.A.I.) has presented a new opportunity for EAP teachers who utilize recursive vocabulary pedagogical strategies in that students can be provided with a real-time learning partner to further investigate lexis and be provided immediate feedback on their vocabulary use. The present study explores the enaction of a new G.A.I. integrated recursive vocabulary learning framework, gathering data from both intermediate and advanced EAP learners (approximately 100 students). The research follows a mixed-methods approach. Quantitative data will be collected online via pre- and post-intervention tests, and during the intervention with weekly tests. These measures aim to assess the impact of the G.A.I. integrated framework on vocabulary acquisition. Qualitative data will be gathered through student perception surveys and focus group discussions to gauge their perceptions of the framework and the inclusion of G.A.I. as a learning partner. The collected data will be analyzed using descriptive and inferential statistics for the quantitative part, while thematic analysis will be conducted for the qualitative part. The results are expected to shed light on the efficacy of the G.A.I. integrated framework and provide insights into its application in a unique transnational context.

Speakers
avatar for Jingfei Zhang

Jingfei Zhang

Xi'an Jiaotong-Liverpool University
AM

Alan Meek

Xi'an Jiaotong-Liverpool University
Alan Meek has been an Educational Developer & Teacher of Practice in the Educational Development Unit (EDU) in the Academy of Future Education (AoFE) since 2022. With his 15 years of communicative teaching experience, he is an advocate of student centered, socially constructed learning... Read More →
avatar for Lin Ma

Lin Ma

Xi'an Jiaotong-Liverpool University
Lin Ma currently works as a language lecturer at Xi’an Jiaotong-Liverpool University. She is a member of the Applied English Committee in Jiangsu Vocational Education in China and previously worked as the deputy dean in the School of Liberal Arts at Suzhou Centennial College. Apart... Read More →


Saturday June 1, 2024 09:00 - 10:00 CST
IA 103
  EAP/ESP, Workshop

Attendees (7)