Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context

Adolfo Jara-Gavilanes; Romel Ávila-Faicán; Vladimir Robles-Bykbaev; Luis Serpa-Andrade

doi:10.1007/978-3-031-19647-8_22

Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context

Adolfo Jara-Gavilanes
, Romel Ávila-Faicán
, Vladimir Robles-Bykbaev
, Luis Serpa-Andrade

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

Resumen

Pre-writing skills are a set of essential skills to learn to write. Commonly, in South America’s public schools, a teacher has a class with approximately 30 or more students. As a result, the teacher has the challenging task to detect if a child has difficulties in pre-writing essential activities. In light of the above, in this paper, we present an analysis to determine the feasibility of using computer vision and data mining techniques to determine if a child fails to meet, meets few, or meets a pre-writing skill. We conducted the process with the open corpus “UPS-Writing-Skills,” containing the HU moments and the shape signature descriptors extracted from a collection of 358 images drawn by children.

Idioma original	Inglés
Título de la publicación alojada	Applied Informatics - 5th International Conference, ICAI 2022, Proceedings
Editores	Hector Florez, Henry Gomez
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	308-323
Número de páginas	16
ISBN (versión impresa)	9783031196461
DOI	https://doi.org/10.1007/978-3-031-19647-8_22
Estado	Publicada - 2022
Evento	5th International Conference on Applied Informatics, ICAI 2022 - Arequipa, Perú Duración: 27 oct 2022 → 29 oct 2022

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1643 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	5th International Conference on Applied Informatics, ICAI 2022
País/Territorio	Perú
Ciudad	Arequipa
Período	27/10/22 → 29/10/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Areas de Conocimiento del CACES

316A Desarrollo y análisis de software y aplicaciones
8116A Sistemas de Información

Acceder al documento

10.1007/978-3-031-19647-8_22

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Jara-Gavilanes, A., Ávila-Faicán, R., Robles-Bykbaev, V., & Serpa-Andrade, L. (2022). Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context. En H. Florez, & H. Gomez (Eds.), Applied Informatics - 5th International Conference, ICAI 2022, Proceedings (pp. 308-323). (Communications in Computer and Information Science; Vol. 1643 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-19647-8_22

Jara-Gavilanes, Adolfo ; Ávila-Faicán, Romel ; Robles-Bykbaev, Vladimir et al. / Rating the Acquisition of Pre-writing Skills in Children : An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context. Applied Informatics - 5th International Conference, ICAI 2022, Proceedings. editor / Hector Florez ; Henry Gomez. Springer Science and Business Media Deutschland GmbH, 2022. pp. 308-323 (Communications in Computer and Information Science).

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title = "Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context",

abstract = "Pre-writing skills are a set of essential skills to learn to write. Commonly, in South America{\textquoteright}s public schools, a teacher has a class with approximately 30 or more students. As a result, the teacher has the challenging task to detect if a child has difficulties in pre-writing essential activities. In light of the above, in this paper, we present an analysis to determine the feasibility of using computer vision and data mining techniques to determine if a child fails to meet, meets few, or meets a pre-writing skill. We conducted the process with the open corpus “UPS-Writing-Skills,” containing the HU moments and the shape signature descriptors extracted from a collection of 358 images drawn by children.",

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author = "Adolfo Jara-Gavilanes and Romel {\'A}vila-Faic{\'a}n and Vladimir Robles-Bykbaev and Luis Serpa-Andrade",

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Jara-Gavilanes, A, Ávila-Faicán, R, Robles-Bykbaev, V & Serpa-Andrade, L 2022, Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context. En H Florez & H Gomez (eds.), Applied Informatics - 5th International Conference, ICAI 2022, Proceedings. Communications in Computer and Information Science, vol. 1643 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 308-323, 5th International Conference on Applied Informatics, ICAI 2022, Arequipa, Perú, 27/10/22. https://doi.org/10.1007/978-3-031-19647-8_22

Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context. / Jara-Gavilanes, Adolfo; Ávila-Faicán, Romel; Robles-Bykbaev, Vladimir et al.
Applied Informatics - 5th International Conference, ICAI 2022, Proceedings. ed. / Hector Florez; Henry Gomez. Springer Science and Business Media Deutschland GmbH, 2022. p. 308-323 (Communications in Computer and Information Science; Vol. 1643 CCIS).

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

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Jara-Gavilanes A, Ávila-Faicán R, Robles-Bykbaev V , Serpa-Andrade L. Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context. En Florez H, Gomez H, editores, Applied Informatics - 5th International Conference, ICAI 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 308-323. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-19647-8_22