Skip to main content alibris logo

Recommender Systems for Technology Enhanced Learning: Research Trends and Applications

by

Write The First Customer Review
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications - Manouselis, Nikos (Editor), and Drachsler, Hendrik (Editor), and Verbert, Katrien (Editor)
Filter Results
Item Condition
Seller Rating
Other Options
Change Currency

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 ...

loading
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications 2016, Springer, New York, NY

ISBN-13: 9781493946563

Trade paperback

Recommender Systems for Technology Enhanced Learning: Research Trends and Applications 2014, Springer-Verlag New York Inc., New York

ISBN-13: 9781493905294

Hardcover