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New SOPHIAS dataset captures student presentations with multimodal sensor data

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced SOPHIAS, a new multimodal dataset designed to capture student oral presentations using various sensors. This 12-hour dataset includes recordings from 65 students at the Autonomous University of Madrid, incorporating data from webcams, audio, eye-tracking, smartwatch physiological sensors, and interaction logs. SOPHIAS also contains presentation slides, teacher and peer evaluations, and contextual annotations, aiming to facilitate research in automated feedback and Multimodal Learning Analytics. AI

IMPACT Enables development of automated feedback and Multimodal Learning Analytics tools for educational presentations.

RANK_REASON The cluster describes a new academic dataset and paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New SOPHIAS dataset captures student presentations with multimodal sensor data

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The cluster describes a new academic dataset and paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Alvaro Becerra, Ruth Cobos, Roberto Daza ·

    A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data

    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 (…

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