11 citations · 11 across the 3 of their papers we have counts for
3 papers
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…
LLM Prompt Evaluation for Educational Applications
Langdon Holmes, Adam Coscia, Scott Crossley +2
As large language models (LLMs) become increasingly common in educational applications, there is a growing need for evidence-based methods to design and evaluate LLM prompts that p…
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…