Code of Practice for Sensor-Based Learning

Abstract
Sensor-based learning refers to utilizing physiological sensor data from learners and information from a learning environment to promote learning. Sensor data enclose learner’s personal information so ethical practice of adopting sensor data in learning analytics needs to be explored thoroughly. In this positional paper, we examine current ethical practices in learning analytics to derive a code of practice for sensor-based learning. Furthermore, we critically validate a wearable sensor device developed as a learning support against the derived code of practice.
  • Citation
  • BibTeX
Yun, H., Riazy, S., Fortenbacher, A. & Simbeck, K., (2019). Code of Practice for Sensor-Based Learning. In: Pinkwart, N. & Konert, J. (Hrsg.), DELFI 2019. Bonn: Gesellschaft für Informatik e.V.. (S. 199-204). DOI: 10.18420/delfi2019_326
@inproceedings{mci/Yun2019,
author = {Yun, Haeseon AND Riazy, Shirin AND Fortenbacher, Albrecht AND Simbeck, Katharina},
title = {Code of Practice for Sensor-Based Learning},
booktitle = {DELFI 2019},
year = {2019},
editor = {Pinkwart, Niels AND Konert, Johannes} ,
pages = { 199-204 } ,
doi = { 10.18420/delfi2019_326 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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ISBN: 978-3-88579-691-6
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2019
Language: en (en)
Content Type: Text/Conference Paper 
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