2020
Journal
-
In the domain of technology-enhanced competency-based learning and training, there is an increased interest in the integration of competency-related information for supporting competency-driven decision-making purposes. Indeed, since competency development draws upon several related areas, including teaching subjects, instructional design, learning resource annotation, e-Portfolios and motivated by the need for an integrated and semantic-based approach to competency management and development, a series of ontological structures have been formalized and developed for each of these areas. This paper aims to provide a framework specification for lifelong competency management and development, called LCMDF. The main advantage of this framework lies in its ability to provide a unifying semantic foundation in the form of a set of controlled vocabularies for describing competencies and their related details within the contexts of technology-enhanced competency-based learning and training. Moreover, this framework provides a novel integrated model to support a wide range of use cases. The proposed framework results from reusing widespread international standards for competency modeling which helps designing and implementing interoperability architecture of semantically-enhanced competency-based learning/human resource (HR) systems.
@article{DBLP:journals/cj/RezguiM20, author = {Kalthoum Rezgui and H{\'{e}}dia Mhiri}, title = {Towards a Semantic Framework for Lifelong Integrated Competency Management and Development}, journal = {Comput. J.}, volume = {63}, number = {7}, pages = {1004--1016}, year = {2020}, url = {https://doi.org/10.1093/comjnl/bxz067}, doi = {10.1093/COMJNL/BXZ067}, timestamp = {Sun, 04 Aug 2024 19:46:42 +0200}, biburl = {https://dblp.org/rec/journals/cj/RezguiM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }