Competence E-Assessment Based on Semantic Web: From Modeling to Validation

Competence E-Assessment Based on Semantic Web: From Modeling to Validation

Mounira Ilahi-Amri (PRINCE Research Laboratory, Tunisia), Lilila Cheniti-Belcadhi (PRINCE Research Laboratory, Tunisia) and Rafik Braham (PRINCE Research Laboratory, Tunisia)
DOI: 10.4018/978-1-5225-5297-0.ch013

Abstract

In light of trends toward increased requirements for skilled workers, e-assessment presents many challenges. It should address learners' real performance in life. Recognizing the inadequacy of current traditional knowledge-based assessment systems in higher education to achieve performance visibility, we need to rethink how we design new assessment systems that can respond to the corporate requirements of the twenty-first century and mirror the learners' competences. This concern has not been sufficiently investigated. This chapter considers the competence-based assessment. The authors explore the importance of competency and competence modeling conceptual understanding. The research reviews the benchmark literature on the concepts, models, and approaches of competence and competency and explores the confusion surrounding the pair of concepts. They propose a service-oriented framework for competence-based e-assessment to validate the above proposals. The experimentation results support the research goals and learners received a competence-based assessment, which they appreciated.
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Theoretical Background

Though the rapidly increasing number of related work published in recent years, the theoretical grounding is still weak as a whole, especially in the introduction of concepts. In fact, the concepts of competence and competency are almost used substitutably without distinction. Hence, we introduce in this section the theoretical background of the paper, including the definitions of the concepts competence, competency and the competence-based assessment.

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