Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos
| dc.contributor.advisor | Lévano Rodríguez, Danny | |
| dc.contributor.advisor | Valles Coral, Miguel Ángel | |
| dc.contributor.author | Huamán Labán, Joyse Baldwin | |
| dc.contributor.author | Gómez Apaza, Roel Dante | |
| dc.date.accessioned | 2022-07-26T13:42:20Z | |
| dc.date.available | 2022-07-26T13:42:20Z | |
| dc.date.issued | 2022-03-03 | |
| dc.description.abstract | A strategy that supports the student’s academic and personal formation is that university consider tutoring as a mechanism that supports with favorable results to fight against the desertion of students. However, there are related prob-lems in performing student segmentation and conducting psychological interven-tions. The objective was to formulate a classification model for intervention pro-grams in university students based on unsupervised algorithms. For this, we car-ried out a non-experimental, simple descriptive study on a population of 60 uni-versity students; we carried out the data extraction process through a chatbot that applied the BarOn ICE test. After we obtained the data, the unsupervised k-means algorithm was used to group the students into sets determined based on the closest mean value obtained from the psychological test. We built a model for classifying students based on their answers to the BarOn ICE test based on K-means, with which we obtained five groups. The model classifies students by applying a dif-ferent mathematical method to that used by the models applied by psychologists. | en_ES |
| dc.description.escuela | Escuela de Posgrado | en_ES |
| dc.description.lineadeinvestigacion | Gestión de TI | en_ES |
| dc.description.sede | LIMA | en_ES |
| dc.format | application/pdf | en_ES |
| dc.identifier.uri | https://hdl.handle.net/20.500.12840/5629 | |
| dc.language.iso | eng | en_ES |
| dc.publisher | Universidad Peruana Unión | en_ES |
| dc.publisher.country | PE | en_ES |
| dc.rights | info:eu-repo/semantics/openAccess | en_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ | * |
| dc.subject | Automated classification | en_ES |
| dc.subject | Artificial intelligence | en_ES |
| dc.subject | Grouping | en_ES |
| dc.subject | K-means | en_ES |
| dc.subject | University tutoring | en_ES |
| dc.subject.ocde | http://purl.org/pe-repo/ocde/ford#2.02.04 | en_ES |
| dc.title | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos | en_ES |
| dc.type | info:eu-repo/semantics/masterThesis | en_ES |
| renati.advisor.dni | 42094674 | |
| renati.advisor.orcid | https://orcid.org/0000-0002-1783-1105 | en_ES |
| renati.author.dni | 45135782 | |
| renati.author.dni | 40071297 | |
| renati.discipline | 612467 | en_ES |
| renati.juror | Cuellar Rodriguez, Immer Elias | |
| renati.juror | Saboya Rios, Nemias | |
| renati.juror | Valladares Castillo, Sergio Omar | |
| renati.juror | Sullon Macalupu, Abel Angel | |
| renati.juror | Lévano Rodriguez, Danny | |
| renati.level | https://purl.org/pe-repo/renati/level#maestro | en_ES |
| renati.type | http://purl.org/pe-repo/renati/type#trabajoDeInvestigacion | en_ES |
| thesis.degree.discipline | Maestría en Ingeniería de Sistemas con Mención en Dirección y Gestión de Tecnologías de Información | en_ES |
| thesis.degree.grantor | Universidad Peruana Unión. Unidad de Posgrado de Ingeniería y Arquitectura | en_ES |
| thesis.degree.name | Maestro en Ingeniería de Sistemas con Mención en Dirección y Gestión de Tecnologías de Información | en_ES |