User Experience Study using a System for Generating MultiModal Learning Analytics Dashboards

PROCEEDINGS OF THE XXIII INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION, INTERACCION 2023(2023)

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摘要
In the article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in user experiences (UX) in a Learning Analytics (LA) system in the form of Web-based Dashboards. Based on the edBB platform, the multimodal data gathered contains biometric and behavioral signals including electroencephalogram data to measure learners' cognitive attention, heart rate for affective measures and visual attention from the video recordings. Additionally, learners' static background data and their learning performance measures are tracked using LOGGE tool. M2LADS provides opportunities to capture learners' holistic experience during their interactions with the learning analytic system in order to improve the system and the user experience of the learners.
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关键词
Biometrics and Behavior,Dashboard,e-Learning,MOOC,Multimodal Learning Analytics,User Experience (UX)
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