Yao Qu

Yao Qu

Ph.D. Candidate in Public Policy and Global Affairs at Nanyang Technological University. Email: yao008@e.ntu.edu.sg

Hi, I am Doris Yao Qu ( 瞿瑶 )

I am a Ph.D. candidate in Public Policy and Global Affairs at Nanyang Technological University (NTU), Singapore, supervised by Prof. Jue Wang. My research examines how generative AI is integrated into knowledge production, focusing on its implications for agency, collaboration, and governance across educational and research settings.

Education

  • Ph.D. Candidate, Nanyang Technological University (NTU), Singapore (Aug 2022 – Present)
    • Research Focus: AI for Knowledge Production
  • Open Fellowship Program, Weizenbaum Institute, Berlin, Germany (Mar 2025 – Jul 2025)
    • Research Project: AI Academia: Mapping the Transformation of Learning and Research Practices in the Digital Age
  • Master of Philosophy, University of Cambridge, UK (Aug 2021 – Aug 2022)
    • Focus: Urban and Environmental Planning, Urban and Housing Policy
  • Bachelor’s Degree, Sichuan University, China (Sep 2017 – Jun 2021)
    • Major: Economics

Publications and Working Papers

  1. Qu, Y., & Wang, J. (2024). Performance and biases of Large Language Models in public opinion simulation. Humanities and Social Sciences Communications, 11(1), 1–13. https://doi.org/10.1057/s41599-024-03609-x

  2. Qu, Y., Tan, M.X.Y., & Wang, J. (2024). Disciplinary differences in undergraduate students’ engagement with generative artificial intelligence. Smart Learning Environments, 11(1), 51. https://doi.org/10.1186/s40561-024-00341-6

  3. Qu, Y., & Wang, J. (2025). The impact of AI guilt on students’ use of ChatGPT for academic tasks: Examining disciplinary differences. Journal of Academic Ethics. https://doi.org/10.1007/s10805-025-09643-x

  4. Tan, M.X.Y., Qu, Y., & Wang, J. (2025). Student perceptions of generative artificial intelligence regulations: A mixed-methods study of higher education in Singapore. Higher Education Quarterly, 79(3), e70038. https://doi.org/10.1111/hequ.70038

  5. Qu, Y., Loo, H.E., & Wang, J. (2025). Generative artificial intelligence in higher education: Emotional tensions and ethical declaration. British Journal of Educational Technology. Advance online publication. https://doi.org/10.1111/bjet.70029

  6. Qu, Y., & Wang, J. To Disclose or Not to Disclose: Peer Influence and Psychological Factors in Students’ GenAI Use. Major Revision.

  7. Qu, Y., & Wang, J. From Tool to Collaborator: How Human–AI Interaction Shapes Agency Perception in Higher Education. Major Revision.

  8. Ni, R., Qu, Y., & Wang, J. Bridging or Widening the Gap? The Role of AI in Shaping Global Research Performance. Journal of Chinese Political Science (Accepted).

Ongoing Projects

  • To What Extent and How Do Scientific Structures and Practices Shape the Use of Generative AI?
    A large-scale international survey on how disciplinary practices and team structures shape GenAI adoption and perceptions.

  • Authorship and Accountability in the Age of GenAI: Evidence from PhD Students
    A survey experiment studying GenAI credit assignment, responsibility, and disclosure decisions in doctoral training environments.