Authors:
Ayşe Saliha Sunar
1
;
Erik Novak
2
and
Dunja Mladenić
2
Affiliations:
1
Bitlis Eren University, Rahva Yerleskesi, Bitlis, Turkey, Jozef Stefan Institute, Ljubljana, Slovenia
;
2
Jozef Stefan Institute, Ljubljana, Slovenia
Keyword(s):
OER, Clustering, Learning Analytics, Learning Pathways, Cross-site Analysis, Cross-domain Analysis.
Abstract:
The availability of open educational resources is growing at an increasingly fast pace since its first promotion by UNESCO in 2002. Today, large variability of opportunities for free and online educational resources are available and accessible by everyone from all around the world who has access to the Internet. An Internet user may exploit numbers of different platforms to find what they are looking for, where one platform may fit their study goal while another platform suits their learning approach. Finding the appropriate content and platform could be like searching for a needle in the haystack where users desperately need help from personalised recommendations. Many platforms aim to transform to a more personalised learning environment, mostly by recommending a content or a peer to study with, providing timely feedback, or a gamified learning environment within the platform. We expect that in the next decade it will be necessary to provide user guidance to the Open Educational R
esources not only in a single domain but in cross-domain, cross-site, and cross-cultural nature of the Internet. In this paper, we investigate the users’ learning behaviour by analysing their clickstream data across different learning platforms. The results indicate that most of the users tend to stay on a website for a short duration. Also, the design of materials on different websites affect the number of clicks and the pattern of engagement.
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