Recommender Systems for Technology Enhanced Learning Research Trends and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Manouselis, Nikos (Επιμελητής έκδοσης), Drachsler, Hendrik (Επιμελητής έκδοσης), Verbert, Katrien (Επιμελητής έκδοσης), Santos, Olga C. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
• Θέματα: 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...