Document Type
Data
Publication Date
4-22-2026
Award Number
NSF Grant No. 2142309
Abstract
This dataset supports a qualitative study examining how first-year engineering students interpret automated code feedback and how these interpretations relate to the development of programming self-efficacy.
The study focuses on student interactions with an automated code critiquer (WebTA) in a MATLAB-based introductory programming course. It explores how feedback influences students’ emotional responses, debugging behaviors, and confidence development.
Conceptual framing: Automated Feedback → Interpretation → Self-Efficacy Development
Recommended Citation
Benjamin, M.
(2026).
Qualitative Dataset on Student Interpretation of Automated Code Feedback and Programming Self-Efficacy.
Retrieved from: https://digitalcommons.mtu.edu/all-datasets/76