Open AccessExtraction of Student Interaction Data from an Open edX Platform
Author(s) -
Daniel JaramilloMorillo,
Mario Solarte,
Gustavo Ramírez-González
Publication year - 2021
Publication title -
revista ingenierías universidad de medellín/revista ingenierías universidad de medellín
Language(s) - English
Resource type - Journals
eISSN - 2248-4094
pISSN - 1692-3324
DOI - 10.22395/rium.v20n38a5
Subject(s) - scripting language , learning analytics , computer science , java , open education , world wide web , open source , analytics , massive open online course , open educational resources , open data , process (computing) , open platform , multimedia , data science , software , operating system
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.