Multi-level computer aided learner assessment in massive open online courses Online publication date: Mon, 05-Nov-2018
by Lynda Haddadi; Farida Bouarab-Dahmani; Nathalie Guin
International Journal of Knowledge and Learning (IJKL), Vol. 12, No. 4, 2018
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Learning (IJKL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook