Title: Toward the MOOC Capitalization Using Fuzzy Analytical Hierarchy Process

Issue Number: Vol. 3, No. 2
Year of Publication: Jun - 2017
Page Numbers: 58-64
Authors: Yassine AFA, Amal BATTOU and Omar BAZ
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002324


The Massive Open Online Courses (MOOC) concept has apprehended the interest of all actors in higher education. MOOC platforms are considered as a crucial source of information for both learners and professors by offering hundreds of courses around the world. However, this technology has faced many challenges, particularly their low completion rates. The present paper proposes the architecture of a framework using Fuzzy Analytic Hierarchy Process algorithm (Fuzzy-AHP) to determine the triangular weight of the courses from the most widespread MOOCS in the literature. Weights of the courses are calculated by fuzzy numbers in line with the learning profile. The outcome of the proposed framework is to improve teaching effectiveness, facilitate learning among learners, encourage long life learning and maximize motivation as well as reducing the dropout rates.