AI RESEARCH
EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos
arXiv CS.CV
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ArXi:2603.03066v2 Announce Type: replace Existing AI-generated video quality assessment (AIGVQA) methods mainly focus on global perceptual realism and coarse text-video alignment, while overlooking a critical requirement in educational scenarios: concept correctness. In early mathematics education, subtle errors in numerical quantities, geometric relations, or spatial configurations may fundamentally alter the conveyed knowledge despite visually plausible generation. To address this problem, we.