Title :
A Semantic Web-enabled Tool for Self-Regulated Learning in the Workplace
Author :
Melody Siadaty;Jelena Jovanovic;Kai Pata;Teresa Holocher-Ertl;Dragan Gasevic;Nikola Milikic
Author_Institution :
Simon Fraser Univ., Burnaby, BC, Canada
fDate :
7/1/2011 12:00:00 AM
Abstract :
Self-regulated learning processes have a potential to enhance the motivation of knowledge workers to take part in learning and knowledge building activities, and thus contribute to the resolution of an important research challenge in workplace learning. An equally important research challenge for successful completion of each step of a self-regulatory process is to enable learners to be aware of characteristics of their organizationally embedded learning context. In this paper, we describe how a combination of pedagogy and Semantic Web-based technologies can be utilized to address the above two challenges. Specifically, we demonstrate the proposed solution through the Learning Pal tool which leverages ontologies to support self-regulation in organizational learning.
Keywords :
"Organizations","Ontologies","Employment","Context","Monitoring","Communities"
Conference_Titel :
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Print_ISBN :
978-1-61284-209-7
Electronic_ISBN :
2161-377X
DOI :
10.1109/ICALT.2011.27