Höver, Kai Michael ; Mühlhäuser, Max (2015)
Classquake: Measuring students' attentiveness in the classroom.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Many studies report a decline of student attentiveness during lectures. Reasons for such declines of attentiveness are increasing fatigue and decreasing concentration having strong influence on the effectiveness of lectures and students' retention. In such situations, it is recommended to change the teaching method or to interrupt the lecture by short breaks. For the lecturer, however, it is difficult to predict and recognize a decline of attention while teaching. Measurements of attentiveness are either based on physiological measures or observational measures. Both are neither reliable nor practical for lecture hall settings. To address this problem, we propose a system called 'Classquake' that uses students' smartphones as decentralized sensors to measure their activity and attentiveness during lectures.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2015 |
Autor(en): | Höver, Kai Michael ; Mühlhäuser, Max |
Art des Eintrags: | Bibliographie |
Titel: | Classquake: Measuring students' attentiveness in the classroom |
Sprache: | Deutsch |
Publikationsjahr: | Dezember 2015 |
Verlag: | IEEE |
Buchtitel: | IEEE International Symposium on Multimedia (ISM) |
Kurzbeschreibung (Abstract): | Many studies report a decline of student attentiveness during lectures. Reasons for such declines of attentiveness are increasing fatigue and decreasing concentration having strong influence on the effectiveness of lectures and students' retention. In such situations, it is recommended to change the teaching method or to interrupt the lecture by short breaks. For the lecturer, however, it is difficult to predict and recognize a decline of attention while teaching. Measurements of attentiveness are either based on physiological measures or observational measures. Both are neither reliable nor practical for lecture hall settings. To address this problem, we propose a system called 'Classquake' that uses students' smartphones as decentralized sensors to measure their activity and attentiveness during lectures. |
Freie Schlagworte: | - ALW - Area Ambient Learning & Knowledge Work;- ALW: Digital Lecture Hall (DLH);E-Learning |
ID-Nummer: | TUD-CS-2015-1316 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
Hinterlegungsdatum: | 31 Dez 2016 12:59 |
Letzte Änderung: | 14 Jun 2021 06:14 |
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