1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.HC2026
Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education
Tianyu Shao, Miguel Feijóo-García, Yi Zhang +4
As AI tools such as ChatGPT enter programming classrooms, students encounter differing rules across courses and instructors, which shape how they use AI and leave them with unequal…
physics.ed-ph2024★ 1 cited
Student and AI responses to physics problems examined through the lenses of sensemaking and mechanistic reasoning
Amogh Sirnoorkar, Dean Zollman, James T. Laverty +3
Several reports in education have called for transforming physics learning environments by promoting sensemaking of real-world scenarios in light of curricular ideas. Recent advanc…