Between Regulation and Accessibility: How Chinese University Students Navigate Global and Domestic Generative AI
Project Overview
The document explores the integration of generative AI in higher education, particularly examining the experiences of Chinese students with various AI tools, both global and domestic. It underscores the advantages of generative AI in improving learning efficiency and personalizing educational experiences, while also identifying critical challenges such as access issues, language barriers, and cultural relevance that hinder effective utilization. The findings suggest that while generative AI has the potential to transform education positively, a human-centered approach is essential for successful integration. This approach should prioritize multilingual capabilities and cultural sensitivity to create an inclusive educational environment that fully leverages AI's benefits. Overall, the document advocates for thoughtful implementation strategies that address these barriers, ensuring that generative AI can be a valuable asset in enhancing learning outcomes for diverse student populations.
Key Applications
Generative AI Tools for Education
Context: Higher education for Chinese university students, utilizing both domestic generative AI tools (e.g., Kimi Chat, ChatGLM, Doubao, Wenxin Yiyan, Qwen) and global generative AI tools (e.g., ChatGPT) through various means, including local platforms and VPNs to bypass restrictions.
Implementation: Students utilize generative AI tools available through local platforms or workarounds to access global AI tools. These technologies are integrated into educational apps and platforms, facilitating improved access to learning resources.
Outcomes: ['Enhanced understanding of traditional Chinese culture', 'Improved language processing capabilities for Chinese', 'Better alignment with local educational needs', 'Improved writing and research capabilities', 'Support for autonomous learning']
Challenges: ['Content filtering and output constraints of domestic AIs', 'Accessibility issues due to government censorship', 'Ethical concerns regarding data privacy', 'Reliability issues of the tools']
Implementation Barriers
Access Barrier
Government restrictions and internet censorship limit access to global generative AI tools like ChatGPT.
Proposed Solutions: Students use VPNs and other workarounds to access these tools, although this raises ethical concerns.
Cultural and Linguistic Barrier
Global generative AI models are predominantly English-centric, leading to challenges for students in non-English-speaking regions.
Proposed Solutions: Development of domestic AI alternatives that are culturally and linguistically appropriate for local contexts.
Technical Barrier
Domestic generative AI platforms have content filtering and output limitations, affecting their utility for academic tasks.
Proposed Solutions: Continual improvements in domestic AI models and better integration with educational content.
Project Team
Qin Xie
Researcher
Ming Li
Researcher
Fei Cheng
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Qin Xie, Ming Li, Fei Cheng
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai