Student performance assessment using clustering techniques
The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management...
- Autores:
-
Varela Izquierdo, Noel
Sánchez Montero, Edgardo Rafael
Vásquez, Carmen
Garcia Guiliany, Jesus Enrique
Vargas Mercado, Carlos
Orellano Llinas, Nataly
Batista Zea, Karina
Palencia, Pablo
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5229
- Acceso en línea:
- https://hdl.handle.net/11323/5229
https://repositorio.cuc.edu.co/
- Palabra clave:
- Clustering
Fuzzy C-means algorithm
Fuzzy logic
Expert system
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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| dc.title.spa.fl_str_mv |
Student performance assessment using clustering techniques |
| title |
Student performance assessment using clustering techniques |
| spellingShingle |
Student performance assessment using clustering techniques Clustering Fuzzy C-means algorithm Fuzzy logic Expert system |
| title_short |
Student performance assessment using clustering techniques |
| title_full |
Student performance assessment using clustering techniques |
| title_fullStr |
Student performance assessment using clustering techniques |
| title_full_unstemmed |
Student performance assessment using clustering techniques |
| title_sort |
Student performance assessment using clustering techniques |
| dc.creator.fl_str_mv |
Varela Izquierdo, Noel Sánchez Montero, Edgardo Rafael Vásquez, Carmen Garcia Guiliany, Jesus Enrique Vargas Mercado, Carlos Orellano Llinas, Nataly Batista Zea, Karina Palencia, Pablo |
| dc.contributor.author.spa.fl_str_mv |
Varela Izquierdo, Noel Sánchez Montero, Edgardo Rafael Vásquez, Carmen Garcia Guiliany, Jesus Enrique Vargas Mercado, Carlos Orellano Llinas, Nataly Batista Zea, Karina Palencia, Pablo |
| dc.subject.spa.fl_str_mv |
Clustering Fuzzy C-means algorithm Fuzzy logic Expert system |
| topic |
Clustering Fuzzy C-means algorithm Fuzzy logic Expert system |
| description |
The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management strategy to evaluate the progression of the students’ behavior by dividing the population into homogeneous groups according to their characteristics and skills. These applications can help both the teacher and the student to improve the quality of education. The selected method is the data grouping analysis by means of fuzzy logic using the Fuzzy C-means algorithm to achieve a standard indicator called Grade, through an expert system to enable segmentation. |
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2019 |
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2019-08-31T03:10:54Z |
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2019-08-31T03:10:54Z |
| dc.date.issued.none.fl_str_mv |
2019-07-26 |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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1865-0929 |
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https://hdl.handle.net/11323/5229 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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1865-0929 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/5229 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
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eng |
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https://doi.org/10.1007/978-981-32-9563-6_19 |
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Attribution-NonCommercial-ShareAlike 4.0 International |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Communications in Computer and Information Science |
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Corporación Universidad de la Costa |
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Varela Izquierdo, NoelSánchez Montero, Edgardo RafaelVásquez, CarmenGarcia Guiliany, Jesus EnriqueVargas Mercado, CarlosOrellano Llinas, NatalyBatista Zea, KarinaPalencia, Pablo2019-08-31T03:10:54Z2019-08-31T03:10:54Z2019-07-261865-0929https://hdl.handle.net/11323/5229Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management strategy to evaluate the progression of the students’ behavior by dividing the population into homogeneous groups according to their characteristics and skills. These applications can help both the teacher and the student to improve the quality of education. The selected method is the data grouping analysis by means of fuzzy logic using the Fuzzy C-means algorithm to achieve a standard indicator called Grade, through an expert system to enable segmentation.Universidad de la Costa, 2 Universidad Nacional Experimental Politécnica “Antonio José de Sucre”, Universidad Simón Bolívar, Corporación Universitaria Latinoamericana, Corporación Universitaria Minuto de Dios.Varela Izquierdo, NoelSánchez Montero, Edgardo RafaelVásquez, CarmenGarcia Guiliany, Jesus EnriqueVargas Mercado, CarlosOrellano Llinas, NatalyBatista Zea, KarinaPalencia, PabloengCommunications in Computer and Information Sciencehttps://doi.org/10.1007/978-981-32-9563-6_19Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2ClusteringFuzzy C-means algorithmFuzzy logicExpert systemStudent performance assessment using clustering techniquesPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALStudent Performance Assessment Using.pdfStudent Performance Assessment Using.pdfapplication/pdf377867https://repositorio.cuc.edu.co/bitstreams/c95f9009-49ae-46c1-856c-cb3789bf3b03/downloadfa4b0ad58c5de690ab47d532701bd3f3MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstreams/cc6db85e-6374-457d-8bc4-a3f6dd2e451c/download934f4ca17e109e0a05eaeaba504d7ce4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/d70ab9f0-0806-4aa9-a4d0-494f4ab8c356/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILStudent Performance Assessment Using.pdf.jpgStudent Performance Assessment Using.pdf.jpgimage/jpeg39056https://repositorio.cuc.edu.co/bitstreams/b4a145e2-e013-432a-8de5-4b21ae45f7b6/download0a8df45b1cceeebabf4484441cd31948MD55TEXTStudent Performance Assessment Using.pdf.txtStudent Performance Assessment Using.pdf.txttext/plain24690https://repositorio.cuc.edu.co/bitstreams/aba3a374-8083-47ee-9cc6-0d3afe61c418/downloadfa58120f422e6e04eb81ff17eb981ce3MD5611323/5229oai:repositorio.cuc.edu.co:11323/52292024-09-17 12:48:24.237http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |