The Role of Technology in the Learning Process

Detalhes bibliográficos
Autor(a) principal: Mendonça, Yuri V. S.
Data de Publicação: 2022
Outros Autores: Naranjo, Paola G. Vinueza, Pinto, Diego Costa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/147868
Resumo: Mendonça, Y. V. S., Naranjo, P. G. V., & Pinto, D. C. (2022). The Role of Technology in the Learning Process: A Decision Tree-Based Model Using Machine Learning. Emerging Science Journal, 6(Special Issue: "Current Issues, Trends, and New Ideas in Education"), 280-295. https://doi.org/10.28991/ESJ-2022-SIED-020 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
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spelling The Role of Technology in the Learning ProcessA Decision Tree-Based Model Using Machine LearningDecision TreeIDEBMachine Learning ApproachesSchool InfrastructureTeacher ProfileLearning strategiesGeneralSDG 4 - Quality EducationMendonça, Y. V. S., Naranjo, P. G. V., & Pinto, D. C. (2022). The Role of Technology in the Learning Process: A Decision Tree-Based Model Using Machine Learning. Emerging Science Journal, 6(Special Issue: "Current Issues, Trends, and New Ideas in Education"), 280-295. https://doi.org/10.28991/ESJ-2022-SIED-020 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.Machine learning approaches may establish a complex and non-linear relationship among input and response variables for the assessment of the Basic Education Development Index (IDEB) database and show indicators that may contribute to monitoring the quality of education. This paper uses extensive experimental databases from public schools, consisting of a case study in Brazil, to analyze data such as the physical and technological structure of schools and teacher profiles. The research proposes decision tree-based machine learning models for predictions of the best attributes to positively contribute to IDEB. It employs a newly developed SHapley Additive exPlanations (SHAP) approach to classify input variables, so to identify variables that impact the most the final model; a non-probabilistic sample was used, composed from three official databases of 450 schools, and 617 teachers. Results show that the number of computers per student, teachers’ service time, broadband internet access, investments in technology training for teachers, and computer labs in schools are the variables that have the greatest effect on IDEB. The model applied shows high prediction accuracy for test data (MSE = 0.2094 and R² = 0.8991). This article contributes to improving efficiency when monitoring parameters used to measure the quality of a teaching-learning process.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNMendonça, Yuri V. S.Naranjo, Paola G. VinuezaPinto, Diego Costa2023-01-19T22:19:43Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/147868eng2610-9182PURE: 51032077https://doi.org/10.28991/ESJ-2022-SIED-020info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-10T16:11:37ZPortal AgregadorONG
dc.title.none.fl_str_mv The Role of Technology in the Learning Process
A Decision Tree-Based Model Using Machine Learning
title The Role of Technology in the Learning Process
spellingShingle The Role of Technology in the Learning Process
Mendonça, Yuri V. S.
Decision Tree
IDEB
Machine Learning Approaches
School Infrastructure
Teacher Profile
Learning strategies
General
SDG 4 - Quality Education
title_short The Role of Technology in the Learning Process
title_full The Role of Technology in the Learning Process
title_fullStr The Role of Technology in the Learning Process
title_full_unstemmed The Role of Technology in the Learning Process
title_sort The Role of Technology in the Learning Process
author Mendonça, Yuri V. S.
author_facet Mendonça, Yuri V. S.
Naranjo, Paola G. Vinueza
Pinto, Diego Costa
author_role author
author2 Naranjo, Paola G. Vinueza
Pinto, Diego Costa
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Mendonça, Yuri V. S.
Naranjo, Paola G. Vinueza
Pinto, Diego Costa
dc.subject.por.fl_str_mv Decision Tree
IDEB
Machine Learning Approaches
School Infrastructure
Teacher Profile
Learning strategies
General
SDG 4 - Quality Education
topic Decision Tree
IDEB
Machine Learning Approaches
School Infrastructure
Teacher Profile
Learning strategies
General
SDG 4 - Quality Education
description Mendonça, Y. V. S., Naranjo, P. G. V., & Pinto, D. C. (2022). The Role of Technology in the Learning Process: A Decision Tree-Based Model Using Machine Learning. Emerging Science Journal, 6(Special Issue: "Current Issues, Trends, and New Ideas in Education"), 280-295. https://doi.org/10.28991/ESJ-2022-SIED-020 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-01-19T22:19:43Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/147868
url http://hdl.handle.net/10362/147868
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2610-9182
PURE: 51032077
https://doi.org/10.28991/ESJ-2022-SIED-020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 16
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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