Dataset of academic performance evolution for engineering students
This data article presents data on the results in national as- sessments for secondary and university education in engineering students. The data contains academic, social, economic information for 12,411 students. The data were obtained by orderly crossing the databases of the Colombian Institute f...
- Autores:
-
De la Hoz Domínguez, Enrique José
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9353
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9353
https://www.sciencedirect.com/science/article/pii/S2352340920304315
- Palabra clave:
- Learning analytics
Educational data mining
Predictive evaluation
Continuous assessment
Education
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc/4.0/
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| dc.title.spa.fl_str_mv |
Dataset of academic performance evolution for engineering students |
| title |
Dataset of academic performance evolution for engineering students |
| spellingShingle |
Dataset of academic performance evolution for engineering students Learning analytics Educational data mining Predictive evaluation Continuous assessment Education |
| title_short |
Dataset of academic performance evolution for engineering students |
| title_full |
Dataset of academic performance evolution for engineering students |
| title_fullStr |
Dataset of academic performance evolution for engineering students |
| title_full_unstemmed |
Dataset of academic performance evolution for engineering students |
| title_sort |
Dataset of academic performance evolution for engineering students |
| dc.creator.fl_str_mv |
De la Hoz Domínguez, Enrique José |
| dc.contributor.author.none.fl_str_mv |
De la Hoz Domínguez, Enrique José |
| dc.contributor.other.none.fl_str_mv |
Zuluaga Ortiz, Rohemi Alfredo Fontalvo Herrera, Tomás José |
| dc.subject.keywords.spa.fl_str_mv |
Learning analytics |
| topic |
Learning analytics Educational data mining Predictive evaluation Continuous assessment Education |
| dc.subject.keywords.none.fl_str_mv |
Educational data mining Predictive evaluation Continuous assessment Education |
| description |
This data article presents data on the results in national as- sessments for secondary and university education in engineering students. The data contains academic, social, economic information for 12,411 students. The data were obtained by orderly crossing the databases of the Colombian Institute for the Evaluation of Education (ICFES). The structure of the data allows us to observe the influence of social variables and the evolution of students’ learning skills. In addition to serving as input to develop analysis of academic efficiency, student recommendation systems and educational data mining. |
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2020 |
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2020-08-31T20:18:45Z |
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2020-08-31T20:18:45Z |
| dc.date.issued.none.fl_str_mv |
2020-04-18 |
| dc.date.submitted.none.fl_str_mv |
2020-08-31 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Artículo |
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2352-3409 |
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https://hdl.handle.net/20.500.12585/9353 |
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https://www.sciencedirect.com/science/article/pii/S2352340920304315 |
| dc.identifier.doi.none.fl_str_mv |
10.1016/j.dib.2020.105537 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio UTB |
| identifier_str_mv |
2352-3409 10.1016/j.dib.2020.105537 Universidad Tecnológica de Bolívar Repositorio UTB |
| url |
https://hdl.handle.net/20.500.12585/9353 https://www.sciencedirect.com/science/article/pii/S2352340920304315 |
| dc.language.iso.spa.fl_str_mv |
eng |
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eng |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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5 páginas |
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application/pdf |
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Cartagena de Indias |
| dc.publisher.sede.spa.fl_str_mv |
Campus Tecnológico |
| dc.publisher.discipline.spa.fl_str_mv |
Ingeniería Industrial |
| dc.source.spa.fl_str_mv |
Data in Brief; Vol. 30 (2020) |
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Universidad Tecnológica de Bolívar |
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De la Hoz Domínguez, Enrique José5e7439af-add5-49e6-a503-b3ab802bc74dZuluaga Ortiz, Rohemi Alfredo17de3380-c06c-47af-8ab9-489188abfcadFontalvo Herrera, Tomás Joséa5f554aa-ca9f-42f3-9669-a0d189b9764aCartagena de Indias2020-08-31T20:18:45Z2020-08-31T20:18:45Z2020-04-182020-08-312352-3409https://hdl.handle.net/20.500.12585/9353https://www.sciencedirect.com/science/article/pii/S235234092030431510.1016/j.dib.2020.105537Universidad Tecnológica de BolívarRepositorio UTBThis data article presents data on the results in national as- sessments for secondary and university education in engineering students. The data contains academic, social, economic information for 12,411 students. The data were obtained by orderly crossing the databases of the Colombian Institute for the Evaluation of Education (ICFES). The structure of the data allows us to observe the influence of social variables and the evolution of students’ learning skills. In addition to serving as input to develop analysis of academic efficiency, student recommendation systems and educational data mining.5 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Data in Brief; Vol. 30 (2020)Dataset of academic performance evolution for engineering studentsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Learning analyticsEducational data miningPredictive evaluationContinuous assessmentEducationPúblico generalCampus TecnológicoIngeniería IndustrialH. Wickham, L. Henry, tidyr: Easily Tidy Data with «spread( )» and «gather( )» Functions. 2019.H. Wickham, R. François, L. Henry, y K. Müller, dplyr: A Grammar of Data Manipulation. 2019.R.C. 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