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

Research Group on Artificial Intelligence and Assistive Technologies (GI-IATA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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’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.

Original language	English
Title of host publication	Information Technology and Systems - ICITS 2023
Editors	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	451-461
Number of pages	11
ISBN (Print)	9783031332579
DOIs	https://doi.org/10.1007/978-3-031-33258-6_41
State	Published - 2023
Event	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Peru Duration: 24 Apr 2023 → 26 Apr 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	691 LNNS

Conference

Conference	International Conference on Information Technology and Systems, ICITS 2023
Country/Territory	Peru
City	Cusco
Period	24/04/23 → 26/04/23

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

Children with disabilities
Data mining
Early stimulation
Education
Rural areas
Therapy

CACES Knowledge Areas

316A Software and Applications Development and Analysis
419A Medical Diagnostic and Treatment Technology
8116A Information Systems

Access to Document

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

Cite this

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. In 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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author = "Denys Dutan-Sanchez and Pa{\'u}l Idrovo-Berrezueta and Ana Parra-Astudillo and Vladimir Robles-Bykbaev and Mar{\'i}a Ord{\'o}{\~n}ez-V{\'a}squez",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Information Technology and Systems, ICITS 2023 ; Conference date: 24-04-2023 Through 26-04-2023",

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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. in 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, Peru, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Module Based on Data Mining Techniques to Analyze School Attendance Patterns of Children with Disabilities in Cañar - Ecuador

AU - Dutan-Sanchez, Denys

AU - Idrovo-Berrezueta, Paúl

AU - Parra-Astudillo, Ana

AU - Robles-Bykbaev, Vladimir

AU - Ordóñez-Vásquez, María

PY - 2023

Y1 - 2023

N2 - 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.

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.

KW - Children with disabilities

KW - Data mining

KW - Early stimulation

KW - Education

KW - Rural areas

KW - Therapy

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

M3 - Conference contribution

AN - SCOPUS:85169023668

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T3 - Lecture Notes in Networks and Systems

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Y2 - 24 April 2023 through 26 April 2023

ER -

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. In Rocha Á, Ferrás C, Ibarra W, editors, 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

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Implementation of Intelligent Educational Support Tools for Health Self-Care and Sexual Violence Prevention in Children and Youth with Intellectual Disabilities

Cite this

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Projects

Implementation of Intelligent Educational Support Tools for Health Self-Care and Sexual Violence Prevention in Children and Youth with Intellectual Disabilities

Cite this