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Enhancing language service education with literary narratives: an XGBoost regression approach

Jia Liu, Jia Liu and Hamoud Yahya Ahmed Mohsen, Hamoud Yahya Ahmed Mohsen (2026) Enhancing language service education with literary narratives: an XGBoost regression approach. In: 2025 3rd International Conference on Information Education and Artificial Intelligence (ICIEAI 2025), Guangzhou, China.

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Abstract

In the context of globalization and the collaborative development of regional economies, the cultivation of high-quality language service professionals has become a critical requirement for advancing the construction of the Hainan Free Trade Port in China. Based on the theoretical perspective of language-culture symbiosis, this study intends to build a two-track training track including “language transformation” and “cultural mediation” to compensate for the deficiencies of language service education, cutuespecially low cultural literacy and weak practice orientation. In terms of methodology, this research constructs a modular teaching program structured around scenario-based literary translation workshops, interdisciplinary coursework, and internships with regional cultural enterprises. To validate this model, a stratified survey was administered to 378 stakeholders-comprising students, educators, and industry practitioners recruited via institutional networks-and analyzed using the XGBoost Regression model to explore the influencing factors of students’ cultural awareness and professional capability. Finally, the XGBoost Regression model is applied to analyze the collected data in order to explore the influencing factors of students’ cultural awareness, intercultural communication ability, and high-level language service ability. The empirical results show that the inclusion of literary narratives embedded in AI-based digital tools such as natural language processing and virtual/augmented reality can improve students’ cultural sensitivity, communicative flexibility, and professional performance. These results indicate that a narrative-based, data-driven model of language service education meets the strategic needs of the Hainan Free Trade Port, and this model also shows high replicability and scalability in other multilingual and multicultural educational practices.

Item Type: Proceeding Paper (Invited Papers)
Subjects: L Education > L Education (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Islamic Revealed Knowledge and Human Sciences > Department of English Language & Literature
Depositing User: DR HAMOUD YAHYA AHMED MOHSEN
Date Deposited: 19 May 2026 12:26
Last Modified: 19 May 2026 12:26
Queue Number: 2026-05-Q3424
URI: http://irep.iium.edu.my/id/eprint/128906

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