Ontology-based e-Portfolio modeling for supporting lifelong competency assessment and development

Informations générales

Année de publication

2017

Type

Conférence

Description

-

Résumé
Over the last century, different learning theories have shaped the world of education and training before shifting to the competency-based approach (CBA). This new paradigm to teaching and learning aims to ensure that every student has to graduate with the competitive competencies of lifelong learners and is ready to enter the workforce and begin functioning in entry-level positions. However, despite the growing interest in competency-based learning and training, this field still faces numerous challenges, essentially the lack of consensus about an interoperable description of competency evidences. Indeed, the move towards CBA has created a need for effective instruments that support and assess competency development. In this context, the electronic portfolio (e-Portfolio) emerged as a suitable tool that helps learners collect and manage multiple kinds of assessment evidences linked to the program’s competencies from multiple sources. In this paper, we propose an ontology-based approach to e-portfolio modeling which relies on Semantic Web technologies to formally and semantically describe portfolio artifacts that evidence the achievement of one or several competencies. The proposed ontology is structured according to official e-Portfolio specifications, namely IMS ePortfolio and JISC Leap2A. In addition, other existing approaches to e-Portfolio modeling reported in the literature have been explored to avoid misinterpretation of these specifications. Furthermore, a comparative study of common e-Portfolio systems has been carried out in order to gain a fairly accurate idea of the generic structure of an e-Portfolio.
BibTeX
@inproceedings{DBLP:conf/kes/RezguiMG17,
  author       = {Kalthoum Rezgui and
                  H{\'{e}}dia Mhiri and
                  Khaled Gh{\'{e}}dira},
  editor       = {Cecilia Zanni{-}Merk and
                  Claudia S. Frydman and
                  Carlos Toro and
                  Yulia Hicks and
                  Robert J. Howlett and
                  Lakhmi C. Jain},
  title        = {Ontology-based e-Portfolio modeling for supporting lifelong competency
                  assessment and development},
  booktitle    = {Knowledge-Based and Intelligent Information {\&} Engineering Systems:
                  Proceedings of the 21st International Conference KES-2017, Marseille,
                  France, 6-8 September 2017},
  series       = {Procedia Computer Science},
  volume       = {112},
  pages        = {397--406},
  publisher    = {Elsevier},
  year         = {2017},
  url          = {https://doi.org/10.1016/j.procs.2017.08.041},
  doi          = {10.1016/J.PROCS.2017.08.041},
  timestamp    = {Sun, 06 Oct 2024 21:10:32 +0200},
  biburl       = {https://dblp.org/rec/conf/kes/RezguiMG17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Auteurs