Recommender Systems for Learning

• Κύριοι συγγραφείς: Manouselis, Nikos (Συγγραφέας), Drachsler, Hendrik (Συγγραφέας), Verbert, Katrien (Συγγραφέας), Duval, Erik (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Computer science.; Computers.; Education.; Computer Science.; Information Systems and Communication Service.; Education, general.

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learn...

Πίνακας περιεχομένων:

• Introduction and Background
• TEL as a recommendation context
• Survey and Analysis of TEL Recommender Systems
• Challenges and Outlook.