most citedUsing Large Language Models to Detect Socially Shared Regulation of Collaborative Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20261 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.CV2025

Video-Based Performance Evaluation for ECR Drills in Synthetic Training Environments

Surya Rayala, Marcos Quinones-Grueiro, Naveeduddin Mohammed +5

Effective urban warfare training requires situational awareness and muscle memory, developed through repeated practice in realistic yet controlled environments. A key drill, Enter…

cs.CY2025

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms

Namrata Srivastava, Shruti Jain, Clayton Cohn +3

Exploratory learning environments (ELEs), such as simulation-based platforms and open-ended science curricula, promote hands-on exploration and problem-solving but make it difficul…

cs.CL2025

A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents

Clayton Cohn, Surya Rayala, Namrata Srivastava +6

Large language models (LLMs) present new opportunities for creating pedagogical agents that engage in meaningful dialogue to support student learning. However, current LLM systems…

cs.CL2025

Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)

Clayton Cohn, Surya Rayala, Caitlin Snyder +10

Collaborative dialogue offers rich insights into students' learning and critical thinking, which is essential for personalizing pedagogical agent interactions in STEM+C settings. W…