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 |
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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 | |
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 |
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Volume | 1643 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 5th International Conference on Applied Informatics, ICAI 2022 |
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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