Extraction of Student Interaction Data from an Open edX Platform

Keywords: data analysis, data processing, learning analytics, learning environments, learning management systems, learning platform, massive open online courses, online education, open edX


The Massive Open Online Courses (MOOC) are courses available to the general public without restrictions that are offered to hundreds or thousands of students and in recent years have been presented as a revolution in online education. They are presented as an alternative to the great demand in higher education for the characteristic of being open and massive because they allow access to education to a huge number of students. They have become an ideal environment for data collection and through the application of learning analytics techniques they have allowed a better understanding of how students learn. However, access to the data from thecurrent open-source MOOC platforms is limited and often difficult to collect and process. This paper presents a proposal for collecting and processing the data from students’ interaction with the Open edX platform through Scripts and a Collector based on Java code. 

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  • Author Biographies

    Daniel Jaramillo-Morillo, Universidad del Cauca

    Ph.D. student in Telematic Engineering, University of Cauca.

    Mario Solarte, Universidad del Cauca

    Ph.D. in Telematic Engineering, Associate Professor, University of Cauca.

    Gustavo Ramírez-González, Universidad del Cauca

    Ph.D. in Telematic Engineering, Associate Professor, University of Cauca.

How to Cite
Jaramillo-Morillo, D., Solarte, M., & Ramírez-González, G. (2020). Extraction of Student Interaction Data from an Open edX Platform. Revista Ingenierías Universidad De Medellín, 20(38), 87-98. https://doi.org/10.22395/rium.v20n38a5


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