collaborators

6 papers

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.MA2026

A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance

Clayton Cohn, Surya Rayala, Siyuan Guo +13

LLM pedagogical agents are proliferating, yet recent findings have raised questions about their adherence to established theories of learning and, by extension, their educational v…

cs.CV2026

AI-Assisted Competency Assessment from Egocentric Video in Simulation-Based Nursing Education

Hanchen David Wang, Yilin Liu, Madison J. Lee +4

Assessing learner competency in clinical simulation requires expert observation that is time-intensive, difficult to scale, and subject to inter-rater variability. Vision-language…

cs.CR2026

Digital Guardians: The Past and The Future of Cyber-Physical Resilience

Saurabh Bagchi, Hyunseung Kim, Tarek Abdelzaher +20

Resilience in cyber-physical systems (CPS) is the fundamental ability to maintain safety and critical functionality despite adverse "perturbations," which includes security attacks…

cs.LG2026

Towards Verified and Targeted Explanations through Formal Methods

Hanchen David Wang, Diego Manzanas Lopez, Preston K. Robinette +3

As deep neural networks are deployed in safety-critical domains such as autonomous driving and medical diagnosis, stakeholders need explanations that are interpretable but also tru…

cs.LG2025

Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review

Clayton Cohn, Eduardo Davalos, Caleb Vatral +7

Recent technological advancements in multimodal machine learning--including the rise of large language models (LLMs)--have improved our ability to collect, process, and analyze div…