Extraction of Student Interaction Data from an Open edX Platform
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 highe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidad de Medellín
2021-03-01
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| Series: | Revista Ingenierías Universidad de Medellín |
| Subjects: | |
| Online Access: | https://revistas.udem.edu.co/index.php/ingenierias/article/view/2978 |
| _version_ | 1818881143716446208 |
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| author | Daniel Jaramillo-Morillo Mario Solarte Gustavo Ramírez-González |
| author_facet | Daniel Jaramillo-Morillo Mario Solarte Gustavo Ramírez-González |
| author_sort | Daniel Jaramillo-Morillo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T14:57:11Z |
| format | Article |
| id | doaj.art-178407432c8d4868b03149b236dea0c4 |
| institution | Directory Open Access Journal |
| issn | 1692-3324 2248-4094 |
| language | English |
| last_indexed | 2024-12-19T14:57:11Z |
| publishDate | 2021-03-01 |
| publisher | Universidad de Medellín |
| record_format | Article |
| series | Revista Ingenierías Universidad de Medellín |
| spelling | doaj.art-178407432c8d4868b03149b236dea0c42022-12-21T20:16:41ZengUniversidad de MedellínRevista Ingenierías Universidad de Medellín1692-33242248-40942021-03-012038879810.22395/rium.v20n38a5Extraction of Student Interaction Data from an Open edX PlatformDaniel Jaramillo-Morillo0https://orcid.org/0000-0001-8951-1373Mario Solarte1https://orcid.org/0000-0002-3600-7592Gustavo Ramírez-González2https://orcid.org/0000-0002-1338-8820Universidad del CaucaUniversidad del CaucaUniversidad del CaucaThe 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.https://revistas.udem.edu.co/index.php/ingenierias/article/view/2978data analysisdata processinglearning analyticslearning environmentslearning management systemslearning platformmassive open online coursesonline educationopen edx |
| spellingShingle | Daniel Jaramillo-Morillo Mario Solarte Gustavo Ramírez-González Extraction of Student Interaction Data from an Open edX Platform Revista Ingenierías Universidad de Medellín data analysis data processing learning analytics learning environments learning management systems learning platform massive open online courses online education open edx |
| title | Extraction of Student Interaction Data from an Open edX Platform |
| title_full | Extraction of Student Interaction Data from an Open edX Platform |
| title_fullStr | Extraction of Student Interaction Data from an Open edX Platform |
| title_full_unstemmed | Extraction of Student Interaction Data from an Open edX Platform |
| title_short | Extraction of Student Interaction Data from an Open edX Platform |
| title_sort | extraction of student interaction data from an open edx platform |
| topic | data analysis data processing learning analytics learning environments learning management systems learning platform massive open online courses online education open edx |
| url | https://revistas.udem.edu.co/index.php/ingenierias/article/view/2978 |
| work_keys_str_mv | AT danieljaramillomorillo extractionofstudentinteractiondatafromanopenedxplatform AT mariosolarte extractionofstudentinteractiondatafromanopenedxplatform AT gustavoramirezgonzalez extractionofstudentinteractiondatafromanopenedxplatform |