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Artificial Intelligent in International Education: A Study on Application Cases, Technical Frameworks, and Efficacy & Risk Assessment

Author(s)

Ziheng Wang, Suyi Yu, Zhihao Yu*

Affiliation(s)

School of innovation and Entrepreneurship (Public Experiment Center), University of Shanghai for Science and Technology, Shanghai, China

Abstract

As globalization progresses at a rapid pace, the dramatic advancements in AI technology have significantly accelerated its integration into global education systems. This study explores the interplay between AI and international education, analyzes the educational transformations driven by AI adoption. We examine the integration of AI technologies—such as natural language processing (NLP), machine learning, and generative AI—in addressing language barriers, personalizing learning experiences, optimizing teaching management, and fostering global educational collaboration. A systematic technical implementation framework is presented, encompassing local content processing, AI-generated content (AIGC) via cloud computing, and efficient multi-platform distribution. Case studies of leading AI platforms (e.g., ChatGPT, Grok, Qwen) demonstrate their capacity to enhance accessibility and engagement. Critical risks—including privacy vulnerabilities, algorithmic bias, cultural conflicts, and ethical concerns—are rigorously assessed, with mitigation strategies proposed. Our findings reveal that AI-driven international education not only enhances teaching efficiency and cost-effectiveness but also promotes equitable access and cross-cultural awareness. The research provides theoretical guidance for the future development of international education.

Keywords

AI; International Education; AIGC; Frameworks; Risk Assessment

References

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