collaborators

6 papers

cs.AI2026

Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving

Sifatul Anindho, Videep Venkatesha, Jaclyn Ocumpaugh +1

Investigating how affective states such as confusion and frustration persist and transition during co-situated collaborative problem solving (CPS) is important for understanding th…

cs.HC2025

What do you say? A pilot study investigating student responses in Data Driven Classroom Interviews

Jaclyn Ocumpaugh, Zhanlan Wei, Amanda Barany +4

Data that contextualizes student interactions with online learning systems can be challenging to obtain. This study looks at the rhetorical strategies of a novel method for conduct…

cs.HC2025

The Quick Red Fox gets the best Data Driven Classroom Interviews: A manual for an interview app and its associated methodology

Jaclyn Ocumpaugh, Luc Paquette, Ryan S. Baker +14

Data Driven Classroom Interviews (DDCIs) are an interviewing technique that is facilitated by recent technological developments in the learning analytics community. DDCIs are short…

cs.HC2025

Student Engagement in AI Assisted Complex Problem Solving: A Pilot Study of Human AI Rubik's Cube Collaboration

Kirk Vanacore, Jaclyn Ocumpaugh, Forest Agostinelli +3

Games and puzzles play important pedagogical roles in STEM learning. New AI algorithms that can solve complex problems offer opportunities for scaffolded instruction in puzzle solv…

cs.CY2025

Automatic Large Language Models Creation of Interactive Learning Lessons

Jionghao Lin, Jiarui Rao, Yiyang Zhao +6

We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engine…

cs.CY2025

Carelessness Detection using Performance Factor Analysis: A New Operationalization with Unexpectedly Different Relationship to Learning

Jiayi Zhang, Ryan S. Baker, Namrata Srivastava +3

Detection of carelessness in digital learning platforms has relied on the contextual slip model, which leverages conditional probability and Bayesian Knowledge Tracing (BKT) to ide…