most citedStudying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming

338 citations · 358 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC20235 cited

DiLogics: Creating Web Automation Programs With Diverse Logics

Kevin Pu, Jim Yang, Angel Yuan +5

Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web…

cs.HC20234 cited

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

Stephen Brade, Bryan Wang, Mauricio Sousa +2

Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts. However, crafting prompts that accurately capt…

cs.HC202312 cited

Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues

Jiannan Li, Mauricio Sousa, Karthik Mahadevan +7

Live and pre-recorded video tutorials are an effective means for teaching physical skills such as cooking or prototyping electronics. A dedicated cameraperson following an instruct…

cs.HC2023338 cited

Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming

Majeed Kazemitabaar, Justin Chow, Carl Ka To Ma +3

AI code generators like OpenAI Codex have the potential to assist novice programmers by generating code from natural language descriptions, however, over-reliance might negatively…

cs.HC20238 cited

Scaffolding Progress: How Structured Editors Shape Novice Errors When Transitioning from Blocks to Text

Majeed Kazemitabaar, Viktar Chyhir, David Weintrop +1

Transitioning from block-based programming to text-based programming environments can be challenging as it requires students to learn new programming language concepts. In this pap…