A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador

Denys Dutan-Sanchez; Paúl Idrovo-Berrezueta; Ana Parra-Astudillo; Vladimir Robles-Bykbaev; María Ordóñez-Vásquez

doi:10.1007/978-3-031-33258-6_41

A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador

Denys Dutan-Sanchez, Paúl Idrovo-Berrezueta, Ana Parra-Astudillo, Vladimir Robles-Bykbaev, María Ordóñez-Vásquez

Grupo de Investigación de Inteligencia Artificial y Tecnologías de Asistencia (GI-IATa)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

According to UNICEF, 24% of children with disabilities are less likely to receive early stimulation, whereas 49% are more likely to have never attended school. For these reasons, it is essential to provide early stimulation tools for children with disabilities living in developing countries. In this paper, we describe a module based on data mining techniques to determine the children’s school attendance. To train the algorithms we collected data of 245 children that received early stimulation and therapy in the Special School “Jesus for the Children” of the city of Cañar - Ecuador during the last 26 years. The preliminary results show that the analysis module can classify children according to their attendance patterns with 85% of precision.

Idioma original	Inglés
Título de la publicación alojada	Information Technology and Systems - ICITS 2023
Editores	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	451-461
Número de páginas	11
ISBN (versión impresa)	9783031332579
DOI	https://doi.org/10.1007/978-3-031-33258-6_41
Estado	Publicada - 2023
Evento	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú Duración: 24 abr. 2023 → 26 abr. 2023

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	691 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	International Conference on Information Technology and Systems, ICITS 2023
País/Territorio	Perú
Ciudad	Cusco
Período	24/04/23 → 26/04/23

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ODS de las Naciones Unidas

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10.1007/978-3-031-33258-6_41

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Dutan-Sanchez, D., Idrovo-Berrezueta, P., Parra-Astudillo, A., Robles-Bykbaev, V., & Ordóñez-Vásquez, M. (2023). A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador. En Á. Rocha, C. Ferrás, & W. Ibarra (Eds.), Information Technology and Systems - ICITS 2023 (pp. 451-461). (Lecture Notes in Networks and Systems; Vol. 691 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33258-6_41

Dutan-Sanchez, Denys ; Idrovo-Berrezueta, Paúl ; Parra-Astudillo, Ana et al. / A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador. Information Technology and Systems - ICITS 2023. editor / Álvaro Rocha ; Carlos Ferrás ; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. pp. 451-461 (Lecture Notes in Networks and Systems).

@inproceedings{3e7b3d8012964a47b537130a389e5af8,

title = "A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Ca{\~n}ar - Ecuador",

abstract = "According to UNICEF, 24% of children with disabilities are less likely to receive early stimulation, whereas 49% are more likely to have never attended school. For these reasons, it is essential to provide early stimulation tools for children with disabilities living in developing countries. In this paper, we describe a module based on data mining techniques to determine the children{\textquoteright}s school attendance. To train the algorithms we collected data of 245 children that received early stimulation and therapy in the Special School “Jesus for the Children” of the city of Ca{\~n}ar - Ecuador during the last 26 years. The preliminary results show that the analysis module can classify children according to their attendance patterns with 85% of precision.",

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doi = "10.1007/978-3-031-33258-6_41",

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Dutan-Sanchez, D, Idrovo-Berrezueta, P, Parra-Astudillo, A , Robles-Bykbaev, V & Ordóñez-Vásquez, M 2023, A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador. En Á Rocha, C Ferrás & W Ibarra (eds.), Information Technology and Systems - ICITS 2023. Lecture Notes in Networks and Systems, vol. 691 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 451-461, International Conference on Information Technology and Systems, ICITS 2023, Cusco, Perú, 24/04/23. https://doi.org/10.1007/978-3-031-33258-6_41

A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador. / Dutan-Sanchez, Denys; Idrovo-Berrezueta, Paúl; Parra-Astudillo, Ana et al.
Information Technology and Systems - ICITS 2023. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. p. 451-461 (Lecture Notes in Networks and Systems; Vol. 691 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Dutan-Sanchez, Denys

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AB - According to UNICEF, 24% of children with disabilities are less likely to receive early stimulation, whereas 49% are more likely to have never attended school. For these reasons, it is essential to provide early stimulation tools for children with disabilities living in developing countries. In this paper, we describe a module based on data mining techniques to determine the children’s school attendance. To train the algorithms we collected data of 245 children that received early stimulation and therapy in the Special School “Jesus for the Children” of the city of Cañar - Ecuador during the last 26 years. The preliminary results show that the analysis module can classify children according to their attendance patterns with 85% of precision.

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Dutan-Sanchez D, Idrovo-Berrezueta P, Parra-Astudillo A , Robles-Bykbaev V , Ordóñez-Vásquez M. A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador. En Rocha Á, Ferrás C, Ibarra W, editores, Information Technology and Systems - ICITS 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 451-461. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-33258-6_41