MOOC of Algorithmic: Elaboration of Content and Difficulties Encountered by Students

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The work presented in this article is part of a broader issue of MOOCs (Massive Open Online Courses). It focuses more particularly on the didactic study of an algorithmic MOOC designed for undergraduate students which aims more specifically to examine the process of developing content conveyed by the MOOC. An experimentation was carried out to investigate the difficulties encountered by students. This study can provide MOOC instructors and researchers with insights for the design of MOOCs by taking into account the difficulties faced by students within algorithmic MOOCs.

Cite

CITATION STYLE

APA

Babori, A. (2020). MOOC of Algorithmic: Elaboration of Content and Difficulties Encountered by Students. In Learning and Analytics in Intelligent Systems (Vol. 7, pp. 40–46). Springer Nature. https://doi.org/10.1007/978-3-030-36778-7_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free