Empirical analysis of AI help-seeking trajectories in programming courses finds reactive troubleshooting dominates and links to higher submission counts without score differences.
arXiv preprint arXiv:2309.12348 (2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AI-Assisted Help-Seeking Trajectories in Programming Education from an SRL-Informed Perspective
Empirical analysis of AI help-seeking trajectories in programming courses finds reactive troubleshooting dominates and links to higher submission counts without score differences.