Title :
Supporting Self-Regulated Learning in Technical Domains with Repositories of Learning Objects and Recommender Systems
Author :
Rodríguez-Cerezo, Daniel ; Gomez-Albarran, Mercedes ; Sierra, José-Luis
Author_Institution :
Dept. Ing. del Software e Intel. Artificial, Univ. Complutense de Madrid, Madrid, Spain
Abstract :
In this position paper we analyze how the combination of repositories of learning objects and recommender systems can support self-regulated learning in technical domains. Additionally, we support our position with a case-study concerning the domain of Compiler Construction in Computer Science Advanced Education.
Keywords :
computer aided instruction; computer science education; recommender systems; unsupervised learning; case-study concerning; compiler construction; computer science advanced education; learning objects repositories; recommender systems; self-regulated learning; technical domains; Computer languages; Concrete; Context; Education; Recommender systems; Computer Science Education; learning object repositories; recommender systems; self-regulated learning;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location :
Athens, GA
Print_ISBN :
978-1-61284-209-7
Electronic_ISBN :
2161-3761
DOI :
10.1109/ICALT.2011.187
