Yixue Xiang
Papers
1
Total Citations
2
H-Index
1
About
Yixue Xiang is an emerging researcher at the intersection of artificial intelligence and higher education, with a primary focus on the practical applications and societal implications of large language models. Xiang’s most notable work, “Deep research and analysis of ChatGPT based on multiple testing experiments” (2023), provides a systematic, hands-on evaluation of how intelligent chatbots like ChatGPT are reshaping the daily learning and lives of college students. By conducting rigorous, multi-faceted experiments, Xiang critically examines both the transformative advantages—such as enhanced accessibility to information and personalized tutoring—and the potential pitfalls of these tools in academic settings. This study has garnered early attention (2 citations) and serves as a foundational reference for educators and technologists navigating the integration of AI in pedagogy. Xiang’s research is particularly valuable for its balanced, evidence-based approach, offering actionable insights for universities seeking to harness AI’s benefits while mitigating risks like over-reliance or academic dishonesty. As a forward-looking scholar, Xiang is helping to define the responsible adoption of generative AI in education, making their work essential reading for students, faculty, and policymakers alike.
Research Focus
Key Achievements
Top Papers
- 1