Self-Regulated Workplace Learning: A Pedagogical Framework and Semantic Web-Based Environment

Abstract

Self-regulated learning processes have a potential to enhance the motivation of knowledge workers to take part in learning and reflection about learning, and thus contribute to the resolution of an important research challenge in workplace learning. An equally important research challenge for the successful completion of each step of a self-regulatory process is to enable learners to be aware of the 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 Learn-B tool that leverages ontologies to support self-regulation in organizational learning.

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