Self-oriented learning based on intelligent systems into the workplace

This work aims to purpose the creation of a model to develop intelligent learning systems with self-regulated contents. Its main goal is to support self-oriented learning in workplace, to improve performance levels and skills. Our target is mainly software industries, where the novelty of knowledge and learning needs are critical success factors for the companies' competitiveness, and the learning cycles are being shortened. Learning in workplace environment is a recent research phenomenon, which has been taking place along with the evolutional trend of e-Learning. The innovative component is based on technological and behavioral standards arising mainly from the Social Semantic Web. To approach these challenges one main issue is to find out if the organization's intrinsic knowledge is recognized and organized. Besides, organizations also need to recognize the practical use of this kind of systems. Both issues have been surveyed in a case study.This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: PEst-OE/EEI/UI0319/2014. The FCT is due to be recognized by supporting the PhD grant SFRH/BD/71792/2010 awarded under this research