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2011.10653
Cited By
Effects of Human vs. Automatic Feedback on Students' Understanding of AI Concepts and Programming Style
Technical Symposium on Computer Science Education (SIGCSE), 2020
20 November 2020
A. Leite
Saúl A. Blanco
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ArXiv (abs)
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Papers citing
"Effects of Human vs. Automatic Feedback on Students' Understanding of AI Concepts and Programming Style"
5 / 5 papers shown
How Adding Metacognitive Requirements in Support of AI Feedback in Practice Exams Transforms Student Learning Behaviors
Mak Ahmad
Prerna Ravi
David Karger
Marc Facciotti
93
0
0
19 May 2025
Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
Sungbok Shin
Hyeon Jeon
Sanghyun Hong
Niklas Elmqvist
1.3K
0
0
01 May 2025
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Audrey Zhang
Yifei Gao
Wannapon Suraworachet
Tanya Nazaretsky
M. Cukurova
408
12
0
15 Apr 2025
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
International Conference on Human Factors in Computing Systems (CHI), 2024
Chu Li
Zhihan Zhang
Michael Saugstad
Esteban Safranchik
Minchu Kulkarni
Xiaoyu Huang
Shwetak N. Patel
Vikram Iyer
Tim Althoff
Jon E. Froehlich
263
15
0
14 Mar 2024
"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science
Ishika Joshi
Ritvik Budhiraja
Harshal D. Akolekar
Jagat Sesh Challa
Dhruv Kumar
288
50
0
16 Nov 2023
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