Affiliation:
1. Mouloud Mammeri University, Department of Computer Sciences, Tizi-Ouzou, Algeria
Abstract
Since the fall of 2011, the Massive Open Online Course (MOOC) phenomenon is still being qualified as the most attractive and discussed subject by educational communities and public. In the literature, there are many researches about this recent e-learning generation that vary as the goals vary from raising pedagogical issues to economics ones. Several case studies state that MOOCs are challenging the use of technologies to enhance learning; others think that MOOCs can induce to disruptive in education and educational institutions. In this paper, we propose an instructional design for a kind of MOOC platforms where mainly the use of disciplines specifications and automated evaluation of MOOC learners are possible to settle the source of these problems. Our proposition is based on ODALA (Ontology-Driven Auto-evaluation Learning Approach) principles and on the disciplines' knowledge capitalization using a meta-model represented as domain ontology for disciplines modeling inspired by this approach.
Reference27 articles.
1. Proposal for a Conceptual Framework for Educators to Describe and Design MOOCs.;C.Alario-Hoyos;J. UCS,2014
2. Berkani, L. and Azouaou F. (2013). Semantic Wikis as Platforms for Teaching and Learning Support in Higher Education. International Journal of Digital Society, 1(1), 809-816.
3. Metadata modelling disciplines for e-learning by doing systems
4. Learners automated evaluation with the ODALA approach
5. Bouarab-Dahmani, F., Si-Mohammed, M., Comparot, C., & Charrel, P. J. (2011). Adaptive Exercises Generation Using an Automated Evaluation and a Domain Ontology: The ODALA+ Approach. iJET, 6(2), 4-10.
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