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

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

Abstract

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.

Original language	English
Title of host publication	Applied Informatics - 5th International Conference, ICAI 2022, Proceedings
Editors	Hector Florez, Henry Gomez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	308-323
Number of pages	16
ISBN (Print)	9783031196461
DOIs	https://doi.org/10.1007/978-3-031-19647-8_22
State	Published - 2022
Event	5th International Conference on Applied Informatics, ICAI 2022 - Arequipa, Peru Duration: 27 Oct 2022 → 29 Oct 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1643 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	5th International Conference on Applied Informatics, ICAI 2022
Country/Territory	Peru
City	Arequipa
Period	27/10/22 → 29/10/22

Bibliographical note

Funding Information:
Acknowledgments. This work has been funded by the “Sistemas Inteligentes de Soporte a la Educación (v5)” research project, the Cátedra UNESCO “Tecnologías de apoyo para la Inclusión Educativa” initiative, and the Research Group on Artificial Intelligence and Assistive Technologies (GI-IATa) of the Universidad Politécnica Salesiana, Campus Cuenca.

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

Keywords

Adaboost
Data mining
Education
Hu moments
Naïve Bayes
Pre-writing skills
Random Forest
Shape signatures

CACES Knowledge Areas

316A Software and Applications Development and Analysis
8116A Information Systems

Access to Document

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

Cite this

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. In 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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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. in 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, Peru, 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).

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

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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. In Florez H, Gomez H, editors, 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