Résumé
Since the early 1980s, a paradigm shift, caused by the work undertaken in the field of cognitive psychology, has occurred. This shift is known as the move from teacher-centered instruction to learner-centered or learning-centered instruction, and emphasizes the importance of building new knowledge on previous ones, interacting with peers, making meaningful and reflective learning and being engaged in his own path to foster learning. This new vision of teaching has created a need for new learning and assessment instruments that are better adapted to these pedagogical realities. In this context, the electronic portfolio or e-portfolio is one of the most versatile and effective tools that have been proposed for this purpose. More specifically, the interest in e-portfolios has grown considerably with the emergence of the competency-based approach and portfolio-based competency assessments. The purpose of this paper is to describe a semantic-based representation of e-portfolios, defined on the basis of official e-portfolio standards and specifications. Moreover, a comparative study of several well-known e-portfolio solutions has been carried out based on different facets, such as functional features, technical and organizational features. The objective is to identify those features that are mostly supported by e-portfolio solution providers and accordingly to gain a fairly accurate idea of the common structure of e-portfolios. In addition, the authors take advantage of an already implemented ontological model describing competency-related characteristics of learners and learning objects and combine it with the e-portfolio ontology, with a view to support a more reliable and authentic competency assessment.
BibTeX
@article{DBLP:journals/program/RezguiMG18,
author = {Kalthoum Rezgui and
H{\'{e}}dia Mhiri and
Khaled Gh{\'{e}}dira},
title = {Towards a common and semantic representation of e-portfolios},
journal = {Data Technol. Appl.},
volume = {52},
number = {4},
pages = {520--538},
year = {2018},
url = {https://doi.org/10.1108/DTA-01-2018-0008},
doi = {10.1108/DTA-01-2018-0008},
timestamp = {Sun, 19 Jan 2025 14:43:27 +0100},
biburl = {https://dblp.org/rec/journals/program/RezguiMG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}