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International Conference on Data and Information in Online

DIONE 2022: Data and Information in Online Environments pp 191–203Cite as

Classification Model Based on Chatbot and Unsupervised Algorithms to Determine Psychological Intervention Programs in Peruvian University Students

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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 problems in performing student segmentation and conducting psychological interventions. The objective was to formulate a classification model for intervention programs in university students based on unsupervised algorithms. For this, we carried out a non-experimental, simple descriptive study on a population of 60 university 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 different mathematical method to that used by the models applied by psychologists.

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Authors and Affiliations

  1. Escuela de posgrado, Unidad de Posgrado de Ingeniería y Arquitectura, Universidad Peruana Unión, Lima, Perú

    Baldwin Huamán, Dante Gómez & Danny Lévano

  2. Facultad de Ingeniería de Sistemas e Informática, Universidad Nacional de San Martín, Tarapoto, Perú

    Miguel Valles-Coral, Jorge Raul Navarro-Cabrera & Lloy Pinedo

Authors
  1. Baldwin Huamán
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  2. Dante Gómez
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  3. Danny Lévano
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  4. Miguel Valles-Coral
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  5. Jorge Raul Navarro-Cabrera
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  6. Lloy Pinedo
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Correspondence to Baldwin Huamán .

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Editors and Affiliations

  1. Federal University of Santa Catarina (UFSC), Florianópolis, Brazil

    Adilson Luiz Pinto

  2. National Autonomous University of Mexico (UNAM), Mexico City, Mexico

    Ricardo Arencibia-Jorge

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Huamán, B., Gómez, D., Lévano, D., Valles-Coral, M., Navarro-Cabrera, J.R., Pinedo, L. (2022). Classification Model Based on Chatbot and Unsupervised Algorithms to Determine Psychological Intervention Programs in Peruvian University Students. In: Pinto, A.L., Arencibia-Jorge, R. (eds) Data and Information in Online Environments. DIONE 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-031-22324-2_15

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  • DOI: https://doi.org/10.1007/978-3-031-22324-2_15

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