Title :
Quality, evaluation and recommendation for learning object
Author_Institution :
Fac. of Educ., Simon Fraser Univ., Vancouver, BC, Canada
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;
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
DOI :
10.1109/ICEIT.2010.5607654