most citedA Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents

7 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.MA2026

A Theory-Guided LLM Pedagogical Agent Supporting Open-Ended STEM+C Learning

Clayton Cohn, Surya Rayala, Siyuan Guo +13

Open-ended learning environments (OELEs) can support STEM+C (science, technology, engineering, mathematics, and computing) inquiry through activities such as computational modeling…

cs.CV2026

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection

Gautam Rajendrakumar Gare, Neehar Peri, Matvei Popov +3

Multi-Modal LLMs (MLLMs) demonstrate strong visual grounding capabilities on popular object detection benchmarks like OdinW-13 and RefCOCO. However, state-of-the-art models still s…

cs.MA2026

Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents

Clayton Cohn, Siyuan Guo, Surya Rayala +11

LLMs offer tremendous opportunities for pedagogical agents to help students construct knowledge and develop problem-solving skills, yet many of these agents operate on a "one-size-…

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.HC2025

Designing Gaze Analytics for ELA Instruction: A User-Centered Dashboard with Conversational AI Support

Eduardo Davalos, Yike Zhang, Shruti Jain +9

Eye-tracking offers rich insights into student cognition and engagement, but remains underutilized in classroom-facing educational technology due to challenges in data interpretati…

cs.CL2025★ 7 cited

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…