Recommendation Systems in Education: A review of Recommendation Mechanisms in E-learning Environments
In recent years, new trends and methodologies have emerged that greatly favor the education sector. E-learning as an alternative to regular teaching and learning processes has transformed the educational dynamics thanks to the inclusion of MOOCs, personal learning environments, allowing the educatio...
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| Published in: | Revista ingenierías (Medellín, Colombia) Vol. 20; no. 38; pp. 147 - 158 |
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| Format: | Journal Article |
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Universidad de Medellín
01-06-2021
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| Abstract | In recent years, new trends and methodologies have emerged that greatly favor the education sector. E-learning as an alternative to regular teaching and learning processes has transformed the educational dynamics thanks to the inclusion of MOOCs, personal learning environments, allowing the educational process to be carried out at a personalized level where the focus is on learning styles and the profile of the student. This article presents a review of current works around machine learning mechanisms to make recommendations in the educational environment, where it is found that besides the discovery of the student’s learning style, it is important to know their level of knowledge and learning speed, in addition to the tools used by the student to carry out their studies. Finally, the opportunity for implementation and research of these issues in Colombia is highlighted. |
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| AbstractList | In recent years, new trends and methodologies have emerged that greatly favor the education sector. E-learning as an alternative to regular teaching and learning processes has transformed the educational dynamics thanks to the inclusion of MOOCs, personal learning environments, allowing the educational process to be carried out at a personalized level where the focus is on learning styles and the profile of the student. This article presents a review of current works around machine learning mechanisms to make recommendations in the educational environment, where it is found that besides the discovery of the student’s learning style, it is important to know their level of knowledge and learning speed, in addition to the tools used by the student to carry out their studies. Finally, the opportunity for implementation and research of these issues in Colombia is highlighted. Abstract In recent years, new trends and methodologies have emerged that greatly favor the education sector. E-learning as an alternative to regular teaching and learning processes has transformed the educational dynamics thanks to the inclusion of MOOCs, personal learning environments, allowing the educational process to be carried out at a personalized level where the focus is on learning styles and the profile of the student. This article presents a review of current works around machine learning mechanisms to make recommendations in the educational environment, where it is found that besides the discovery of the student’s learning style, it is important to know their level of knowledge and learning speed, in addition to the tools used by the student to carry out their studies. Finally, the opportunity for implementation and research of these issues in Colombia is highlighted. |
| Author | Otero Cano, Paola Andrea Pedraza Alarcón, Edgar Camilo |
| AuthorAffiliation | Universidad del Cauca |
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| Cites_doi | 10.30827/eticanet.v11i0.16821 10.1142/S0219622018500220 10.1098/rsos.172108 10.4067/S0718-07052016000100017 10.1016/j.ins.2018.07.068 10.1109/EDUCON.2018.8363375 10.1186/s13174-018-0076-5 10.1016/j.eswa.2017.08.019 10.1177/2042753018785180 10.1007/978-3-319-94229-2_29 10.1109/ICBDSC.2016.7460379 10.1007/s10489-017-1051-8 10.1007/978-3-319-94649-8_12 10.17013/risti.17.80-95 10.1016/j.tele.2018.04.015 10.1007/s11042-017-4924-2 10.1007/s40593-014-0028-6 10.1016/j.asoc.2018.04.030 10.1126/science.aaa8415 10.1016/j.compedu.2016.05.008 10.6018/red/52/1 |
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| DocumentTitleAlternate | Sistemas de recomendación en educación: una reseña de los mecanismos de recomendación en entornos de aprendizaje virtual (E-learning) |
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| Issue | 38 |
| Keywords | MOOC education e-learning learning styles environments educación aprendizaje de máquina entornos estilos de aprendizaje machine learning aprendizaje virtual |
| Language | English Portuguese |
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