235 citations · 332 across the 6 of their papers we have counts for
4 papers · 1 filter
Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning
Majeed Kazemitabaar, Oliver Huang, Sangho Suh +2
Novice programmers are increasingly relying on Large Language Models (LLMs) to generate code for learning programming concepts. However, this interaction can lead to superficial en…
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Majeed Kazemitabaar, Jack Williams, Ian Drosos +4
LLM-powered tools like ChatGPT Data Analysis, have the potential to help users tackle the challenging task of data analysis programming, which requires expertise in data processing…
OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs
Jiahao Nick Li, Yan Xu, Tovi Grossman +2
The progression to "Pervasive Augmented Reality" envisions easy access to multimodal information continuously. However, in many everyday scenarios, users are occupied physically, c…
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs
Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang +4
Timely, personalized feedback is essential for students learning programming. LLM-powered tools like ChatGPT offer instant support, but reveal direct answers with code, which may h…