4 citations · 12 across the 4 of their papers we have counts for
4 papers
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…
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education
Jaromir Savelka, Arav Agarwal, Christopher Bogart +1
We explore the evolving efficacy of three generative pre-trained transformer (GPT) models in generating answers for multiple-choice questions (MCQ) from introductory and intermedia…
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,…
A Cross-cultural Corpus of Annotated Verbal and Nonverbal Behaviors in Receptionist Encounters
Maxim Makatchev, Reid Simmons, Majd Sakr
We present the first annotated corpus of nonverbal behaviors in receptionist interactions, and the first nonverbal corpus (excluding the original video and audio data) of service e…