Abstract
The growing interest in recent years towards Learning An-
alytics (LA) and Educational Data Mining (EDM) has enabled novel ap-
proaches and advancements in educational settings. The wide variety of
research and practice in this context has enforced important possibilities
and applications from adaptation and personalization of Technology En-
hanced Learning (TEL) systems to improvement of instructional design
and pedagogy choices based on students needs. LA and EDM play an im-
portant role in enhancing learning processes by oering innovative methods
of development and integration of more personalized, adaptive, and inter-
active educational environments. This has motivated the organization of
the ESANN 2015 Special Session in Advances in Learning Analytics and
Educational Data Mining. Here, a review of research and practice in LA
and EDM is presented accompanied by the most central methods, bene-
ts, and challenges of the eld. Additionally, this paper covers a review of
novel contributions into the Special Session.
| Original language | English |
|---|---|
| Title of host publication | ESANN 2015 proceedings : European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, 22-24 April 215 |
| Place of Publication | Leuven |
| Publisher | Katholieke Universiteit Leuven |
| ISBN (Print) | 978-287587014-8 |
| Publication status | Published - 2015 |