Abstract
Data mining techniques are being widely used in the field of education from the arise of e-learning platforms like Moodle, WebCT, Claroline, and others, and the virtual learning system they entail. Information systems store all activities in files or databases which, correctly processed, may offer relevant data to the teacher. This paper reports the use of data mining techniques and Differential Evolution Clustering for discovering learning routes frequently applied in the Moodle Platform. Data were obtained form 4.115 university students monitored in an online course using Moodle 3.1. Firstly, students were grouped according to the data from a final qualifications report in a course. Secondly, the data of the Moodle logs about each cluster/group of students was used separately with the aim of obtaining more specific and precise models of the students behavior in the processes.
The Editors have retracted this conference paper [1] because it contains material that substantially overlaps with content translated from another article by different authors [2]. The authors Amelec Viloria, Tito Crissien Borrero, Jesús Vargas Villa, Maritza Torres, Nataly Orellano Llinas, and Karina Batista Zea agree to this retraction, the authors Jesús García Guiliany and Carlos Vargas Mercado have not responded to any correspondence from the editor/publisher about this retraction. Tito Crissien stated that he was not aware of this submission.
[1] Viloria, Amelec, et al. “Differential evolution clustering and data mining for determining learning routes in moodle.” International Conference on Data Mining and Big Data. Springer, Singapore, 2019. https://doi.org/10.1007/978-981-32-9563-6_18
[2] Vega, Alejandro Bogarín, Cristóbal Romero Morales, and Rebeca Cerezo Menéndez. “Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle.” Edmetic 5.1 (2016): 73–92. https://doi.org/10.21071/edmetic.v5i1.4017
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Change history
08 April 2021
The Editors have retracted this conference paper [1] because it contains material that substantially overlaps with content translated from another article by different authors [2]. The authors Jesús Silva, Alex Castro Sarmiento, Hugo Hernández P., and Ligia Romero agree to this retraction, the authors Nicolás María Santodomingo, Norka Márquez Blanco, Wilmer Cadavid Basto, Jorge Navarro Beltrán, and Juan de la Hoz Hernández have not responded to any correspondence from the editor/publisher about this retraction.
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Viloria, A. et al. (2019). RETRACTED CHAPTER: Differential Evolution Clustering and Data Mining for Determining Learning Routes in Moodle. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2019. Communications in Computer and Information Science, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-32-9563-6_18
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DOI: https://doi.org/10.1007/978-981-32-9563-6_18
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