140 citations · 563 across the 18 of their papers we have counts for
3 papers · 1 filter
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath +6
An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussio…
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…
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?
Jaromir Savelka, Arav Agarwal, Christopher Bogart +2
We evaluated the capability of generative pre-trained transformers (GPT), to pass assessments in introductory and intermediate Python programming courses at the postsecondary level…