DocumentCode
530294
Title
Quality, evaluation and recommendation for learning object
Author
Li, Jerry Z.
Author_Institution
Fac. of Educ., Simon Fraser Univ., Vancouver, BC, Canada
Volume
2
fYear
2010
fDate
17-19 Sept. 2010
Abstract
The paper examines the current approaches employed to improve the quality of online learning resources, which include the current state of the field and typical evaluation approaches adopted in major learning resources repositories. It then proposes a new approach on providing personalized recommendations on online learning resources by recommender system.
Keywords
computer aided instruction; recommender systems; learning object; online learning resources; personalized recommendations; recommender system; Artificial intelligence; Artificial neural networks; Book reviews; Computational modeling; DVD; World Wide Web; evaluation; learning object; quality; recommender systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8033-3
Electronic_ISBN
978-1-4244-8035-7
Type
conf
DOI
10.1109/ICEIT.2010.5607654
Filename
5607654
Link To Document