Recommender Systems for Technology Enhanced Learning Research Trends and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Manouselis, Nikos (Editor), Drachsler, Hendrik (Editor), Verbert, Katrien (Editor), Santos, Olga C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Subjects: Computer science.; Computers.; Artificial intelligence.; Education.; Computer Science.; Artificial Intelligence (incl. Robotics).; Education, general.; Information Systems and Communication Service.

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 in...