Tingting Huang
Papers
1
Total Citations
2
H-Index
1
About
Tingting Huang is a forward-thinking researcher whose work explores the transformative impact of artificial intelligence on higher education, with a particular focus on intelligent chat robots like ChatGPT. Her most notable contribution, the 2023 study "Deep research and analysis of ChatGPT based on multiple testing experiments," investigates how these AI tools are rapidly integrating into college students' daily learning and lives, playing an increasingly critical role. Through rigorous experimental analysis, Huang examines both the advantages and potential challenges of AI-driven conversational agents in academic settings, offering valuable insights into their practical applications for student engagement and learning outcomes. This work has garnered early attention with 2 citations, signaling its relevance as the field evolves. Huang’s research stands at the intersection of educational technology and human-computer interaction, providing a foundational understanding of how students can leverage AI tools effectively. Her findings are particularly timely, addressing the urgent need to evaluate and optimize AI’s role in modern education. As intelligent systems continue to reshape learning environments, Huang’s contributions offer essential guidance for educators, students, and developers navigating this rapidly changing landscape.
Research Focus
Key Achievements
Top Papers
- 1