Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education
LLMs are reshaping educational technology, yet evaluating their responses for pedagogical alignment remains underexplored, relying heavily on the expertise of learning engineers building the technology. To bridge this gap, we explore trustworthiness as a structured lens for evaluation, leveraging existing measures of LLM trustworthiness to systematically identify potential pedagogical disruptions. Through a longitudinal co-design process with learning engineers developing an LLM-powered digital
Record details
Published: 4 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Safety & alignment · Children & education
Retrieved: 5 August 2026
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How to cite this record
ethics.ai (4 August 2026), “Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education,” evidence record 16527, https://ethics.ai/record/16527 (originally published by arXiv cs.HC).
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