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dc.contributor.authorKrieter, Philipp
dc.contributor.authorBreiter, Andreas
dc.contributor.editorKrömker, Detlef
dc.contributor.editorSchroeder, Ulrik
dc.date.accessioned2019-03-28T08:48:35Z
dc.date.available2019-03-28T08:48:35Z
dc.date.issued2018
dc.identifier.isbn978-3-88579-678-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/21042
dc.description.abstractOne of the main data sources for Learning Analytics are Learning Management Systems (LMS). These log files are limited though to interactions within the LMS and cannot take into account interactions of students in other applications and software in a digital learning environment. In this paper, we present an approach for generating log files based on mobile screen recordings as a data source for Learning Analytics. Logging mobile application usage is limited to rather general system events unless you have access to the source code of the operating system or applications. To address this we generate log files from mobile screen recordings by applying computer vision and machine learning methods to detect individually defined events. In closing, we discuss how these log files can be used as a data source for Learning Analytics and relevant ethical concerns.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDeLFI 2018 - Die 16. E-Learning Fachtagung Informatik
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-284
dc.subjectLearning Analytics
dc.subjectmobile screen recordings
dc.subjectdata sources
dc.subjectlog files
dc.subjectHuman Computer Interaction
dc.subjectComputer Vison
dc.titleTrack every move of your students: log files for Learning Analytics from mobile screen recordingsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages231-242
mci.conference.sessiontitleMobile Anwendungen
mci.conference.locationFrankfurt am Main
mci.conference.date10.-12. September 2018


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