Research output per year
Research output per year
Personal profile
About
Qiang Hao is an assistant professor of Computer Science & Science Education. He received his Ph.D. in Learning, Design and Technology and M.Sc. in Computer Science from University of Georgia. Qiang’s primary research focuses include Computer Science Education and Educational Data Mining.
Related documents
Education/Academic qualification
Learning, Design, & Technology, Ph.D., University of Georgia
Department of Computer Science, M.Sc., University of Georgia
Information Technology Studies, M.Sc., University of Hong Kong
Research Interests
- Computer Science Education
- Educational Data Mining
Disciplines
- Computer Sciences
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Towards Integrating Behavior-Driven Development in Mobile Development: An Experience Report
Hao, Q. & Liu, R., Feb 18 2025, SIGCSE TS 2025 - Proceedings of the 56th ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, Inc, p. 450-456 7 p. (SIGCSE TS 2025 - Proceedings of the 56th ACM Technical Symposium on Computer Science Education; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Early Identification of Struggling Students in Large Computer Science Courses: A Replication Study
Rys-Recker, N. & Hao, Q., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. Shahriar, H., Ohsaki, H., Sharmin, M., Towey, D., Majumder, A. J. A., Hori, Y., Yang, J.-J., Takemoto, M., Sakib, N., Banno, R. & Ahamed, S. I. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 88-93 6 p. (Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Exploring Differences in Planning Between Students With and Without Prior Experience in Programming
Parsons, R., Hao, Q. & Ding, L., Jun 25 2023, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Early Identification of Student Struggles at the Topic Level Using Context-Agnostic Features
Arakawa, K., Hao, Q., Deneke, W., Cowan, I., Wolfman, S. & Peterson, A., Feb 22 2022, SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, Inc, p. 147-153 7 p. (SIGCSE 2022 - Proceedings of the 53rd ACM Technical Symposium on Computer Science Education; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards understanding the effective design of automated formative feedback for programming assignments
Hao, Q., Smith IV, D. H., Ding, L., Ko, A., Ottaway, C., Wilson, J., Arakawa, K. H., Turcan, A., Poehlman, T. & Greer, T., 2022, In: Computer Science Education. 32, 1, p. 105-127 23 p.Research output: Contribution to journal › Article › peer-review
Press/Media
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SUMMER 'WEB DEVELOPMENT BOOTCAMP' INFO SESSION TO BE HELD MAY 16
5/15/24
1 item of Media coverage
Press/Media: Research