0000000000851652

AUTHOR

Michail Giannakos

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Wearable Sensing and Quantified-self to explain Learning Experience

2022

Author's accepted manuscript © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The confluence of wearable technologies for sensing learners and the quantified-self provides a unique opportunity to understand learners’ experience in diverse learning contexts. We use data from learners using Empatica Wristbands and self-reported questionnaire. We compute stress, ar…

VDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320::Informasjons- og kommunikasjonssystemer: 3212022 International Conference on Advanced Learning Technologies (ICALT)
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