Sun, Yifan

Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study

Lyu, W., Wang, Y., Chung, T. (., Sun, Y., & Zhang, Y. (2024) · Proceedings of the Eleventh ACM Conference on Learning @ Scale

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 131

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education

Lyu, W., Zhang, S., Chung, T., Sun, Y., & Zhang, Y. (2025) · Computers and Education: Artificial Intelligence

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 68

Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking

Zhang, Y., Suhaimi, N., Yongsatianchot, N., Gaggiano, J. D., Kim, M., Patel, S. A., Sun, Y., Marsella, S., Griffin, J., & Parker, A. G. (2022) · CHI Conference on Human Factors in Computing Systems

Communication and COVID-19 ImpactMisinformation and Its Impacts

Cited by 37

What Do We Mean When We Talk about Trust in Social Media? A Systematic Review

Zhang, Y., Gaggiano, J. D., Yongsatianchot, N., Suhaimi, N. M., Kim, M., Sun, Y., Griffin, J., & Parker, A. G. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Privacy, Security, and Data ProtectionMisinformation and Its Impacts

Cited by 29

Seed-Coder: Let the Code Model Curate Data for Itself

Seed, B., Zhang, Y., Su, J., Sun, Y., Xi, C., Xiao, X., Zheng, S., Zhang, A., Liu, K., Zan, D., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 3