DocumentCode
2962536
Title
Harnessing Collective Intelligence in Personal Learning Environments
Author
Chatti, Mohamed Amine ; Schroeder, Ulrik ; Thüs, Hendrik ; Dakova, Simona
Author_Institution
Inf. 9 (Learning Technol.), RWTH Aachen Univ., Aachen, Germany
fYear
2012
fDate
4-6 July 2012
Firstpage
344
Lastpage
348
Abstract
The Personal Learning Environment (PLE) driven approach to learning suggests a shift in emphasis from a teacher driven knowledge-push to a learner driven knowledge pull learning model. One concern with knowledge-pull approaches is knowledge overload. Thus, there is a crucial need for knowledge filters to help learners cope with the problem of knowledge overload. In this paper, we present the details of PLEM as a Web 2.0 driven service for personal learning management, which acts as a knowledge filter for learning. The primary aim of PLEM is to harness the collective intelligence and leverage social filtering methods to help learners find quality knowledge nodes that can populate their PLEs.
Keywords
Internet; computer aided instruction; personal computing; PLE; PLEM; Web 2.0 driven service; collective intelligence; knowledge filters; learner driven knowledge pull learning model; personal learning environments; personal learning management; social filtering methods; teacher driven knowledge-push; Biological system modeling; Educational institutions; Information systems; Knowledge engineering; Materials; Usability; collective intelligence; personal learning environment; personalization; social filtering; web 2.0;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location
Rome
Print_ISBN
978-1-4673-1642-2
Type
conf
DOI
10.1109/ICALT.2012.97
Filename
6268115
Link To Document