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

4 citations · 4 across the 2 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Agents of ViTAL: Ethics Missions -- A Narrative-Centered Learning Environment with a Co-Designed Conversational Agent for Middle School AI Ethics

Sarah Burriss, Jinzhi Zhou, Namrata Srivastava +9

Agents of ViTAL: Ethics Missions is a browser-based, narrative-centered learning environment in which middle school students collaboratively evaluate whether a fictional school sho…

cs.CL2026

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…

cs.CL20264 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.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.CV2025

WEBEYETRACK: Scalable Eye-Tracking for the Browser via On-Device Few-Shot Personalization

Eduardo Davalos, Yike Zhang, Namrata Srivastava +7

With advancements in AI, new gaze estimation methods are exceeding state-of-the-art (SOTA) benchmarks, but their real-world application reveals a gap with commercial eye-tracking s…