Psychometric properties of the digital competences scale in regular basic education teachers

Since the introduction of technology in the classroom, there has been a growing demand for digital competencies, which has driven the need for validated instruments to assess this concept more prominently. Therefore, this study determined the psychometric properties of a self-assessment scale of dig...

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Autores principales: Geraldo Campos, Luis Alberto, Rosales-Gomero, Romel Arturo, Soria Quijaite, Juan Jesus, Saintila, Jacksaint
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Lenguaje:inglés
Publicado: 2024
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author Geraldo Campos, Luis Alberto
Rosales-Gomero, Romel Arturo
Soria Quijaite, Juan Jesus
Saintila, Jacksaint
author_browse Geraldo Campos, Luis Alberto
Rosales-Gomero, Romel Arturo
Saintila, Jacksaint
Soria Quijaite, Juan Jesus
author_facet Geraldo Campos, Luis Alberto
Rosales-Gomero, Romel Arturo
Soria Quijaite, Juan Jesus
Saintila, Jacksaint
author_sort Geraldo Campos, Luis Alberto
collection Producción científica
description Since the introduction of technology in the classroom, there has been a growing demand for digital competencies, which has driven the need for validated instruments to assess this concept more prominently. Therefore, this study determined the psychometric properties of a self-assessment scale of digital competencies for teachers of Regular Basic Education. The study was carried out in the Unidad de Gestión Educativa Local (UGEL)/District Education Management Unit of Barranca and Huaura located north of Lima, Peru. A cross-sectional and instrumental quantitative methodological strategy was used, in which exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) techniques were used, and 534 teachers were surveyed. The results show an EFA with two factors and loadings greater than 0.4, a KMO equal to 0.957, and a cumulative variance of 51.30%. The CFA analysis validated three models, where model 2 with three factors, Evaluación y Promoción (EP)/Evaluation and Promotion; Recursos Digitales en la Enseñanza (RDE)/Digital Resources in Teaching; and Participación Profesional en el Aprendizaje (PPA)/Professional Participation in Learning, yielded high correlations and adequate goodness-of-fit indices close to unity (X2/df =1.476; RMSEA=0.042; TLI=0.97; and CFI=0.97). It can be observed that model 2, which includes three factors, presents more appropriate measures, which makes it the most suitable option for assessing digital competencies in teachers of Regular Basic Education.
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spelling oai:cris.upeu.edu.pe:20.500.15037/9832026-11-02T12:57:04ZPsychometric properties of the digital competences scale in regular basic education teachersGeraldo Campos, Luis AlbertoRosales-Gomero, Romel ArturoSoria Quijaite, Juan JesusSaintila, JacksaintConfirmatory factor analysisDigital competencePsychometric propertiesValidationEducationSince the introduction of technology in the classroom, there has been a growing demand for digital competencies, which has driven the need for validated instruments to assess this concept more prominently. Therefore, this study determined the psychometric properties of a self-assessment scale of digital competencies for teachers of Regular Basic Education. The study was carried out in the Unidad de Gestión Educativa Local (UGEL)/District Education Management Unit of Barranca and Huaura located north of Lima, Peru. A cross-sectional and instrumental quantitative methodological strategy was used, in which exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) techniques were used, and 534 teachers were surveyed. The results show an EFA with two factors and loadings greater than 0.4, a KMO equal to 0.957, and a cumulative variance of 51.30%. The CFA analysis validated three models, where model 2 with three factors, Evaluación y Promoción (EP)/Evaluation and Promotion; Recursos Digitales en la Enseñanza (RDE)/Digital Resources in Teaching; and Participación Profesional en el Aprendizaje (PPA)/Professional Participation in Learning, yielded high correlations and adequate goodness-of-fit indices close to unity (X2/df =1.476; RMSEA=0.042; TLI=0.97; and CFI=0.97). It can be observed that model 2, which includes three factors, presents more appropriate measures, which makes it the most suitable option for assessing digital competencies in teachers of Regular Basic Education.Articlehttps://doi.org/10.1016/j.ijedro.2024.10032710.1016/j.ijedro.2024.100327https://hdl.handle.net/20.500.15037/983W4390891768enInternational Journal of Educational Research Open2666-37402024-01-152026-06-13T09:42:17Z2026-06-13T09:42:17Z
spellingShingle Confirmatory factor analysis
Digital competence
Psychometric properties
Validation
Education
Geraldo Campos, Luis Alberto
Rosales-Gomero, Romel Arturo
Soria Quijaite, Juan Jesus
Saintila, Jacksaint
Psychometric properties of the digital competences scale in regular basic education teachers
title Psychometric properties of the digital competences scale in regular basic education teachers
title_full Psychometric properties of the digital competences scale in regular basic education teachers
title_fullStr Psychometric properties of the digital competences scale in regular basic education teachers
title_full_unstemmed Psychometric properties of the digital competences scale in regular basic education teachers
title_short Psychometric properties of the digital competences scale in regular basic education teachers
title_sort psychometric properties of the digital competences scale in regular basic education teachers
topic Confirmatory factor analysis
Digital competence
Psychometric properties
Validation
Education
topic_facet Confirmatory factor analysis
Digital competence
Psychometric properties
Validation
Education
url https://doi.org/10.1016/j.ijedro.2024.100327
https://hdl.handle.net/20.500.15037/983
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