TY - BOOK
T1 - Recommender systems for technology enhanced learning
T2 - Research trends and applications
AU - Manouselis, Nikos
AU - Drachsler, Hendrik
AU - Verbert, Katrien
AU - Santos, Olga C.
AU - Konstan, Joseph A.
N1 - Publisher Copyright:
© Springer Science+Business Media New York 2014.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
AB - As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
UR - http://www.scopus.com/inward/record.url?scp=84956549034&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84956549034&partnerID=8YFLogxK
U2 - 10.1007/978-1-4939-0530-0
DO - 10.1007/978-1-4939-0530-0
M3 - Book
AN - SCOPUS:84956549034
SN - 9781493905294
BT - Recommender systems for technology enhanced learning
PB - Springer New York
ER -