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Using Recommendation Systems in MOOC: An Innovation in Education That Increases the Profitability of Students

Using Recommendation Systems in MOOC: An Innovation in Education That Increases the Profitability of Students
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Author(s): Youssef Jdidou (Abdelmalek Esaadi University, Morocco)and Mohamed Khaldi (Abdelmalek Essaadi University, Morocco)
Copyright: 2018
Pages: 15
Source title: Enhancing Knowledge Discovery and Innovation in the Digital Era
Source Author(s)/Editor(s): Miltiadis D. Lytras (The American College of Greece, Greece), Linda Daniela (University of Latvia, Latvia)and Anna Visvizi (Effat University, Saudi Arabia)
DOI: 10.4018/978-1-5225-4191-2.ch010

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Abstract

Massive Open Online Courses (MOOC) is a model of educational delivery that is, to varying degrees, massive, with theoretically no limit to enrollment; open, allowing anyone to participate, usually at no cost; online, with learning activities typically taking place over the web; and a course, structured around a set of learning goals in a defined area of study. The MOOCs (Massive Online Open Course) are online courses, which are mainly for higher education level. These courses present an interesting evolution in the distance learn methods. The MOOCs do not replace the current universities, but they can be an innovative proposal to the curriculum. In this chapter, the authors present the algorithm they are creating. The main purpose of this algorithm is to create automatic mechanisms as the recommendation system to give such assistance and personalized guidance to students. They will also discuss the integration of this algorithm in MOOCMAROC which is a MOOC platform powred by Open edX.

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