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20242026
most citedA Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science

49 citations · 75 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Agreement Is Not Validity: Cross-Model LLM Consensus in Diagnosing Student Failure Modes in K-12 Math Tutoring Dialogue

Clayton Cohn, Joyce Fonteles, Kirk Vanacore +5

In K-12 mathematics tutoring, student-tutor dialogue provides rich evidence of learners' problem-solving processes and sources of difficulty. Learning analytics research increasing…

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…

cs.CL2025★ 1 cited

CoTAL: Human-in-the-Loop Prompt Engineering for Generalizable Formative Assessment Scoring and Feedback

Clayton Cohn, Ashwin T S, Naveeduddin Mohammed +1

Large language models (LLMs) have created new opportunities to assist teachers and support student learning. While researchers have explored various prompt engineering approaches i…

cs.CL2024★ 14 cited

Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis

Clayton Cohn, Caitlin Snyder, Justin Montenegro +1

LLMs have demonstrated proficiency in contextualizing their outputs using human input, often matching or beating human-level performance on a variety of tasks. However, LLMs have n…

cs.CL2024★ 49 cited

A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science

Clayton Cohn, Nicole Hutchins, Tuan Le +1

This paper explores the use of large language models (LLMs) to score and explain short-answer assessments in K-12 science. While existing methods can score more structured math and…