Understanding Opportunities and Threats of Learning Analytics in Higher Education – A Students' Perspective
Autor(en): | Rodda, A. | Herausgeber: | Papagiannidis, S. Alamanos, E. Gupta, S. Dwivedi, Y.K. Mantymaki, M. Pappas, I.O. |
Stichwörter: | Classifieds; E - learning; E-learning; High educations; Higher education; Learning analytic; Learning Analytics; Online learning; Positive attitude; Qualitative study; Student perspectives; Students' perspective; Teaching and learning, Students; Teaching, 'current | Erscheinungsdatum: | 2022 | Herausgeber: | Springer Science and Business Media Deutschland GmbH | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 13454 LNCS | Startseite: | 111 | Seitenende: | 122 | Zusammenfassung: | The Covid-19 pandemic has further fueled an increase of e-learning in higher education. The widespread use of online learning generates vast amounts of academic data. This data can be collected and analyzed with the help of Learning Analytics to improve teaching and learning. Although students are essential stakeholders of Learning Analytics, their views are underrepresented in current research. Therefore, this paper aims to give an overview of opportunities and threats regarding the use of Learning Analytics from students' perspective. For this purpose, a qualitative study with 136 students was conducted, and the answers were coded and classified by multiple researchers. The results show a generally positive attitude toward Learning Analytics. Noticeable in comparison with existing research were small-scaled answers of participants that focus primarily on the course level and students' everyday lives. The identified opportunities and risks provide a good foundation for further research. © 2022, IFIP International Federation for Information Processing. |
Beschreibung: | Conference of 21st IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2022 ; Conference Date: 13 September 2022 Through 14 September 2022; Conference Code:282879 |
ISBN: | 9783031153419 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-031-15342-6_9 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138006143&doi=10.1007%2f978-3-031-15342-6_9&partnerID=40&md5=a502256c6a7e91d7b78858f319ecc4fa |
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geprüft am 15.05.2024