English(EN) A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data

新的SOPHIAS数据集捕捉带有传感器数据的学生演示

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-31 04:00

研究人员推出了SOPHIAS，一个新颖的多模态数据集，旨在利用各种传感器捕捉学生口头演示。这个12小时的数据集包含了马德里自治大学65名学生的录音，集成了来自网络摄像头、音频、眼动追踪、智能手表生理传感器和交互日志的数据。SOPHIAS还包含演示文稿幻灯片、教师和同伴的评估以及上下文注释，旨在促进自动化反馈和多模态学习分析的研究。 AI

影响支持开发用于教育演示的自动化反馈和多模态学习分析工具。

排序理由该集群描述了在arXiv上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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本文如何被排名

Signal score: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了在arXiv上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=0.7]
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Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Alvaro Becerra, Ruth Cobos, Roberto Daza · 2026-08-31 04:00

包含传感器和评估数据的学生口头演示多模态数据集

arXiv:2601.07576v2 Announce Type: replace-cross Abstract: Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce. To address this gap, we present SOPHIAS (…

本文如何被排名

报道来源 [1]

包含传感器和评估数据的学生口头演示多模态数据集

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