ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models

Large language models are increasingly deployed in education as tutors, teaching assistants, and content generators. These roles place demands that ordinary question answering does not: a usable education-facing model is supposed to be accurate, safe under sensitive prompts, instructionally useful, and aligned with pedagogical goals at the same time. Existing benchmarks evaluate these requirements largely in isolation, so none assesses education-facing suitability as an integrated profile. We in

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ethics.ai (10 August 2026), “ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models,” evidence record 18006, https://ethics.ai/record/18006 (originally published by arXiv).

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