1 citations · 1 across the 4 of their papers we have counts for
4 papers
Commenting with Copilot: A Taxonomy and Multi-Year Analysis of Student Code-Generation Specifications
Nasser Giacaman, Valerio Terragni, Paul Denny +1
As AI code tools become integrated into programming environments, students increasingly describe intended behavior in natural language and rely on these tools to generate code, shi…
Reshaping Undergraduate Computer Science Education in the Generative AI Era
Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan +20
Generative AI represents a turning point for Computer Science (CS) education. In recent decades, post-secondary CS education has largely focused on what has been seen as practical…
Probeable Problems for Beginner-level Programming-with-AI Contests
Mrigank Pawagi, Viraj Kumar
To broaden participation, competitive programming contests may include beginner-level problems that do not require knowledge of advanced Computer Science concepts (e.g., algorithms…
GuardRails: Automated Suggestions for Clarifying Ambiguous Purpose Statements
Mrigank Pawagi, Viraj Kumar
Before implementing a function, programmers are encouraged to write a purpose statement i.e., a short, natural-language explanation of what the function computes. A purpose stateme…