ONTOLOGICAL FRAMEWORK FOR SUPPORTING SELF-REGULATED LEARNING AND KNOWLEDGE SHARING IN AN ORGANIZATION

Abstract

The success of organizational learning is largely determined by the ability of individuals to self-regulate their workplace learning as well as their willingness to share their knowledge and participate in knowledge building activities. However, there are at least two important challenges to be addressed here: i) implementation of incentives that would motivate employees to self-regulate their learning and take part in knowledge building and sharing activities; and ii) structuring and unambiguous representation of the overall, organizationally-embedded learning context so that it can be used to support (through appropriate software services) learning and knowledge building activities. We have proposed an approach that combines pedagogy and Semantic Web technologies into a comprehensive solution aimed at addressing these challenges. In this paper, we present a part of the proposed solution, i.e., a set of ontologies that provides an unambiguous and interlinked representation of entities relevant for individual and organizational learning. Through a number of examples, we illustrate how these ontologies could be used to support learning and knowledge building in organizational settings.