一键生成多模态学习分析看板，实时追踪脑电心率等数据。
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards
- 整合脑电、心率、眼动等多源数据，按学习任务分类展示
- 支持生物信号与视频同步，错误标注可快速重标
- 适合教育数据科学家分析学生专注度与学习行为
我们演示了一个名为M2LADS（多模态学习分析仪表板系统）的基于Web的系统，用于整合、同步、可视化和分析计算机学习过程中记录的多模态生物传感器数据。该系统在网页仪表板上呈现多种生理与行为数据，提供对注意力、脑活动、心率、视觉注意力及任务操作日志的深入洞察。可视化内容包括：评估注意力与脑活动的脑电图（EEG）数据、心率指标、眼动追踪数据、网络摄像头视频记录以及任务活动日志。M2LADS旨在通过两种方式帮助数据科学家：（1）提供参与者在不同学习活动中体验的全景视图，所有数据按任务类别组织；（2）同步所有生物信号与视频，便于在活动标签存在错误时进行高效重标注。
原文摘要 · Abstract (English)
We present a demonstration of a web-based system called M2LADS ("System for Generating Multimodal Learning Analytics Dashboards"), designed to integrate, synchronize, visualize, and analyze multimodal data recorded during computer-based learning sessions with biosensors. This system presents a range of biometric and behavioral data on web-based dashboards, providing detailed insights into various physiological and activity-based metrics. The multimodal data visualized include electroencephalogram (EEG) data for assessing attention and brain activity, heart rate metrics, eye-tracking data to measure visual attention, webcam video recordings, and activity logs of the monitored tasks. M2LADS aims to assist data scientists in two key ways: (1) by providing a comprehensive view of participants' experiences, displaying all data categorized by the activities in which participants are engaged, and (2) by synchronizing all biosignals and videos, facilitating easier data relabeling if any activity information contains errors.
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