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Clayton Cohn

2 accepted papers

2026

A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents

AAAI 2026technical

Large language models (LLMs) present new opportunities for creating pedagogical agents that engage in meaningful dialogue to support student learning. However, current LLM systems used in classrooms often lack the solid theoretical foundations found in earlier intelligent tutoring systems. To bridge

Cited by 0SourcePDFScholar
2024

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

AAAI 2024technical

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 computer science assessments, they often do not provide explanations for the scores. Our study focuses on employing GPT…