1 citations · 1 across the 3 of their papers we have counts for
3 papers
To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
Jessica Hutchison, Ian Tyler Applebaum, Kenneth Angelikas +6
AI code completion tools, such as Github Copilot, provide students with code suggestions to help them write programs. However, recent qualitative studies suggest that students fail…
Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models
Sebastian Gutierrez, Irene Hou, Jihye Lee +6
Recent advancements in generative AI systems have raised concerns about academic integrity among educators. Beyond excelling at solving programming problems and text-based multiple…
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems
Irene Hou, Owen Man, Sophie Mettille +3
The advent of large language models is reshaping computing education. Recent research has demonstrated that these models can produce better explanations than students, answer multi…