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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 • 11:00 - 11:30
How Language Education Empowers Competence-driven Talent Development for International Organizations

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International organizations serve as institutions of the global governance system that fosters understanding and cooperation among nations, as well as platforms where the nations enhance their international influence. In recent years, the Chinese government has started to train and support talents to seek career opportunities in international organizations. Government ministries and agencies, high education institutions, university staff members and students are the stakeholders.

Accurately understanding International Organizations’ recruitment requirements and integrating the required competencies development into foreign language education can contribute to improving efficiency and saving time costs. This research will investigate UN's recruitment requirements, talent cultivation models of domestic and international universities, summarize the effectiveness and advantages of International Organizations talent cultivation in XJTLU, and especially the contribution of language education to this process.

Our project employs a mathematical model to analyse job descriptions from 3 distinct categories, pinpointing the keywords using natural language processing (NLP) methods. Following data collection through web scraping, we vectorize these keywords for clustering analysis within their respective groups, by utilizing Python's Scikit-learn. This strategy is designed to identify recruitment features and explore characteristics shared among various job categories. English proficiency, fluency in an additional UN official language, and global competence are noteworthy outcomes. These attributes are integral to fostering global citizens. Based on these findings, we will explore and discuss how Spanish teaching contributes to talent development for international organizations by incorporating critical thinking and broadening the international perspective.

Speakers
avatar for Ling Tan

Ling Tan

Lecturer, Xi'an Jiaotong-Liverpool University
avatar for Yiliu Tan

Yiliu Tan

PhD Student, University of Tsukuba
Hello! My name is Yiliu Tan, a PhD student in University of Tsukuba, Japan.I am interested in algorithm design for geographic remote sensing data, especially 3D forest data from LiDAR.My research focuses on interdisciplinary topics related to artificial intelligence (machine learning... Read More →
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Yezi Yang

Xi'an Jiaotong-Liverpool University
avatar for Yang Wu

Yang Wu

Associate Professor, Sichuan University


Sunday June 2, 2024 11:00 - 11:30 CST
IA 107

Attendees (1)