29 citations · 47 across the 7 of their papers we have counts for
3 papers · 1 filter
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,…