---
source_url: https://arxiv.org/abs/2605.01238
ingested: 2026-05-08
sha256: 418c466e1c2e2a2b53dd955ffea8976eaad828d2cfe39cdc906ed30f6b8e59f7
---

# EduGage: Methods and Dataset for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning

**Authors:** Zikang Leng, Edan Eyal, Yingtian Shi et al.
**Published:** 2026-05-02
**Categories:** cs.HC, cs.CV
**arXiv:** https://arxiv.org/abs/2605.01238
**PDF:** https://arxiv.org/pdf/2605.01238

## Abstract

Engagement, which links to attentional, emotional, and cognitive dimensions, plays an important role in learning. In online and video-based learning environments, learners often need to regulate their own interactions with instructional materials. Measuring and reflecting on engagement can therefore...