Learning analytics in the flipped classroom - Learning dashboards from the students' perspective
Autor(en): | Droit, A. Rieger, B. |
Herausgeber: | Bui, T.X. | Stichwörter: | Systems science, Blended learning; Classroom learning; Large amounts; Learning data; Primary data; Students' perspectives, Students | Erscheinungsdatum: | 2020 | Herausgeber: | IEEE Computer Society | Journal: | Proceedings of the Annual Hawaii International Conference on System Sciences | Volumen: | 2020-January | Startseite: | 100 | Seitenende: | 107 | Zusammenfassung: | Blended learning courses offer the opportunity to collect large amounts of learning data that can help students to improve their performance. The presentation of learning data often takes place in the form of Learning Analytics dashboards, which are already in use at some universities. Students, who are the primary data providers and at the same time the main users, should be involved in the process of developing Learning Analytics dashboards from the beginning. Since there are only a few guidelines for designing these dashboards in literature, we conducted a study with 139 business and information systems students who, in addition to answering a questionnaire, also designed their dashboards with the help of a case study. The dashboard analysis provides detailed insights into the design of the functional and information scope, as well as the presentation of the data for Learning Analytics dashboards. © 2020 IEEE Computer Society. All rights reserved. |
Beschreibung: | Conference of 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 ; Conference Date: 7 January 2020 Through 10 January 2020; Conference Code:169536 |
ISBN: | 9780998133133 | ISSN: | 15301605 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108179220&partnerID=40&md5=d21f1676fbc46d50ec4769dfd67f7c96 |
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geprüft am 17.05.2024