Who Are the Students of MOOCs?
- Clustering in education is important in identifying groups of objects in order to find linked patterns of correlations in educational datasets. As such, MOOCs provide a rich source of educational datasets which enable a wide selection of options to carry out clustering and an opportunity for cohort analyses. In this experience paper, five research studies on clustering in MOOCs are reviewed, drawing out several reasonings, methods, and students’ clusters that reflect certain kinds of learning behaviours. The collection of the varied clusters shows that each study identifies and defines clusters according to distinctive engagement patterns. Implications and a summary are provided at the end of the paper.
Author details: | Mohammad Khalil |
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URN: | urn:nbn:de:kobv:517-opus4-517298 |
DOI: | https://doi.org/10.25932/publishup-51729 |
ISBN: | 978-3-86956-512-5 |
Title of parent work (English): | EMOOCs 2021 |
Subtitle (English): | Experience from Learning Analytics Clustering Techniques |
Publisher: | Universitätsverlag Potsdam |
Place of publishing: | Potsdam |
Publication type: | Article |
Language: | English |
Date of first publication: | 2021/06/30 |
Publication year: | 2021 |
Publishing institution: | Universität Potsdam |
Publishing institution: | Universitätsverlag Potsdam |
Release date: | 2021/09/22 |
Volume: | 2021 |
Number of pages: | 11 |
First page: | 259 |
Last Page: | 269 |
RVK - Regensburg classification: | ST 670 |
Organizational units: | Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH |
DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Peer review: | Referiert |
Publishing method: | Universitätsverlag Potsdam |
Open Access / Gold Open-Access | |
Collection(s): | Universität Potsdam / Sammelwerke (nicht fortlaufend) / EMOOCs 2021 / Beiträge |
License (German): | CC-BY - Namensnennung 4.0 International |