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 congresoContribución de conferenciarevisión 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 originalInglés
Título de la publicación alojadaApplied Informatics - 5th International Conference, ICAI 2022, Proceedings
EditoresHector Florez, Henry Gomez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas308-323
Número de páginas16
ISBN (versión impresa)9783031196461
DOI
EstadoPublicada - 2022
Evento5th International Conference on Applied Informatics, ICAI 2022 - Arequipa, Perú
Duración: 27 oct. 202229 oct. 2022

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1643 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia5th International Conference on Applied Informatics, ICAI 2022
País/TerritorioPerú
CiudadArequipa
Período27/10/2229/10/22

Nota bibliográfica

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

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