1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding
Conrad Borchers, Jiayi Zhang, Ashish Gurung
Adaptive scaffolding enhances learning, yet the field lacks robust methods for measuring it within authentic tutoring dialogue. This gap has become more pressing with the rise of r…
cs.LG2026★ 1 cited
Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning
Jiayi Zhang, Conrad Borchers, Clayton Cohn +7
The field of learning analytics has made notable strides in automating the detection of complex learning processes in multimodal data. However, most advancements have focused on in…
cs.CY2023
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems
Conrad Borchers, Jiayi Zhang, Ryan S. Baker +1
Numerous studies demonstrate the importance of self-regulation during learning by problem-solving. Recent work in learning analytics has largely examined students' use of SRL conce…