TY  - JOUR
A1  - Khalil, Mohammad
T1  - Who Are the Students of MOOCs?
T2  - EMOOCs 2021
N2  - 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.
Y1  - 2021
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/51729
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-517298
SN  - 978-3-86956-512-5
VL  - 2021
SP  - 259
EP  - 269
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  -