11 citations · 11 across the 4 of their papers we have counts for
Showing cs.HCShow all
2 papers · 1 filter
cs.HC2026
Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education
Adam Coscia, Sujata Duwal, Langdon Holmes +2
LLMs are reshaping educational technology, yet evaluating their responses for pedagogical alignment remains underexplored, relying heavily on the expertise of learning engineers bu…
cs.HC2024★ 11 cited
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries
Adam Coscia, Langdon Holmes, Wesley Morris +3
The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summ…