Multi-level computer aided learner assessment in massive open online courses

Lynda Haddadi, Farida Bouarab-Dahmani and Nathalie Guin

International Journal of Knowledge and Learning, 2018, vol. 12, issue 4, 325-351

Abstract: Assessment is at the heart of massive open online courses (MOOC) challenges. It is also a core component for any effective learning. In this paper, we provide a general survey of the various forms of assessment in MOOCs. Then, we propose gradual automated learners assessment based on ontology driven for auto-evaluation learning approach (ODALA) approach. Our proposition focuses on an assessment pyramid with four levels: Closed-ended questions, Half-open questions, Open-ended questions and problem solving (PS). This pyramid is the backbone of the learning process since it needs a gradual progression with an adequate methodology. Various computer aided or completely automated assessment activities are proposed. The transition from a level to another is a conditional one since there are minimal threshold of disciplinary knowledge acquisition. An evaluation prototype was tested with the Algorithmic discipline and was developed to access the feasibility of our proposition.

Keywords: massive open online courses; learner assessment; automated assessment; assessment pyramid; ODALA approach. (search for similar items in EconPapers)
Date: 2018
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