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dc.contributor.authorYun, Haeseon
dc.contributor.authorRiazy, Shirin
dc.contributor.authorFortenbacher, Albrecht
dc.contributor.authorSimbeck, Katharina
dc.contributor.editorPinkwart, Niels
dc.contributor.editorKonert, Johannes
dc.date.accessioned2019-08-14T08:59:05Z
dc.date.available2019-08-14T08:59:05Z
dc.date.issued2019
dc.identifier.isbn978-3-88579-691-6
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/24398
dc.description.abstractSensor-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.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDELFI 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-297
dc.subjectLearning Analytics
dc.subjectSensor based learning
dc.subjectELSI
dc.subjectGDPR
dc.subjectSensor Data
dc.titleCode of Practice for Sensor-Based Learningen
dc.typeText/Conference Paper 
dc.pubPlaceBonn
mci.reference.pages199-204
mci.conference.sessiontitleAdaptation
mci.conference.locationBerlin, Germany
mci.conference.date16.-19. September 2019
dc.identifier.doi10.18420/delfi2019_326


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