Qiang Hao, PhD
Associate Professor · He/Him/His
Office
Location
CF 457
Hours
Book a 15 minutes ZOOM meeting at https://calendly.com/qiangh/15min
Research Interests:
Computing Education, Human-Computer Interaction, Learning Technologies
Educational & Professional Experience:
PhD from University of Georgia
Recent Publications:
- Kai Arakawa, Qiang Hao, Wesley Deneke, Indie Cowan, Steven Wolfman, and Abigayle Peterson. 2022. Early Identification of Student Struggles at the Topic Level Using Context-Agnostic Features. In Proceedings of the 53nd ACM Technical Symposium on Computer Science Education (SIGCSE '22). Association for Computing Machinery, New York, NY, USA, 147–153.
- David H. Smith, Qiang Hao, Christopher D. Hundhausen, Filip Jagodzinski, Josh Myers-Dean, and Kira Jaeger. 2021. Towards Modeling Student Engagement with Interactive Computing Textbooks: An Empirical Study. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 914–920.
- Kai Arakawa, Qiang Hao, Tyler Greer, Lu Ding, Christopher D. Hundhausen, and Abigayle Peterson. 2021. In Situ Identification of Student Self-Regulated Learning Struggles in Programming Assignments. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 467–473.
- Qiang Hao, David H. Smith IV, Lu Ding, Amy Ko, Camille Ottaway, Jack Wilson, Kai H. Arakawa, Alistair Turcan, Timothy Poehlman, and Tyler Greer. 2021. Towards understanding the effective design of automated formative feedback for programming assignments. Computer Science Education (2021): 1-23.