28 citations · 31 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 3 cited
Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback
Jacob Whitehill, Jennifer LoCasale-Crouch
With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate ``I…
cs.CV2020★ 28 cited
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate
Anand Ramakrishnan, Brian Zylich, Erin Ottmar +2
In this work we present a multi-modal machine learning-based system, which we call ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative Climate…