29 citations · 47 across the 7 of their papers we have counts for
8 papers
Measuring SES-related traits relating to technology usage: Two validated surveys
Chimdi Chikezie, Pannapat Chenpaiseng, Puja Agarwal +9
Software producers are now recognizing the importance of improving their products' suitability for diverse populations, but little attention has been given to measurements to shed…
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives
Pragnya Sridhar, Aidan Doyle, Arav Agarwal +3
We evaluated the capability of a generative pre-trained transformer (GPT-4) to automatically generate high-quality learning objectives (LOs) in the context of a practically oriente…
SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study
Puja Agarwal, Divya Prem, Christopher Bogart +6
Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically i…
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
Jaromir Savelka, Arav Agarwal, Christopher Bogart +1
We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code,…
Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction
Margaret Burnett, Martin Erwig, Abrar Fallatah +2
HCI researchers' and practitioners' awareness of intersectionality has been expanding, producing knowledge, recommendations, and prototypes for supporting intersectional population…
Tracing Vulnerable Code Lineage
David Reid, Kalvin Eng, Chris Bogart +1
This paper presents results from the MSR 2021 Hackathon. Our team investigates files/projects that contain known security vulnerabilities and how widespread they are throughout rep…