Paper Info
Title
Advances in learning analytics and educational data mining.
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.
Year
Venue
Field
2015
ESANN
Data science,Web intelligence,Learning analytics,Software analytics,Computer science,Semantic analytics,Artificial intelligence,Analytics,Business intelligence,Educational data mining,Instructional design,Machine learning
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Mehrnoosh Vahdat192.27
Alessandro Ghio266735.71
Luca Oneto383063.22
Davide Anguita4100170.58
Mathias Funk511229.69
g w m rauterberg661.53