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.
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Babori, A. (2020). MOOC of Algorithmic: Elaboration of Content and Difficulties Encountered by Students. In: Serrhini, M., Silva, C., Aljahdali, S. (eds) Innovation in Information Systems and Technologies to Support Learning Research. EMENA-ISTL 2019. Learning and Analytics in Intelligent Systems, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-36778-7_5
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