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dc.contributor.authorGuillén Gámez, Francisco D.
dc.contributor.authorRamos Baz, Marta 
dc.date.accessioned2024-12-04T11:46:55Z
dc.date.available2024-12-04T11:46:55Z
dc.date.issued2021
dc.identifier.citationGuillén-Gámez, F. D. & Ramos, M. (2021). Competency profile on the use of ICT resources by Spanish music teachers: descriptive and inferential analyses with logistic regression to detect significant predictors. Technology, Pedagogy and Education, 30(4), 511-523. https://doi.org/10.1080/1475939X.2021.1927164es_ES
dc.identifier.issn1475-939X
dc.identifier.urihttp://hdl.handle.net/10366/160935
dc.description.abstract[EN] The purposes of this study were twofold: (1) determine the level of digital competence that Spanish teachers have in the use of technological devices, Web 2.0 general tools and Web 2.0 music tools, according to the proficiency profiles established by the European Framework DigCompEdu; and (2) identify the significant predictors which affect Spanish teachers who have a high level of competence. The study uses an ex-post facto design with 115 Spanish secondary school music teachers. The results showed that teachers had a profile between Novice and Expert regarding the use of educational technology. In addition, age, attitude towards ICT and motivation in teaching practice are predictive variables that help predict high competence in the use of Web 2.0 general resources and technological devices in the classroom, while having studied at a conservatory and working as a teacher in a conservatory significantly influence the use of Web 2.0 music tools.es_ES
dc.language.isoenges_ES
dc.publisherTaylor & Francises_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDigital competencees_ES
dc.subjectICTes_ES
dc.subjectTeacherses_ES
dc.subjectRegressiones_ES
dc.subjectResearch methodses_ES
dc.titleCompetency profile on the use of ICT resources by Spanish music teachers: descriptive and inferential analyses with logistic regression to detect significant predictorses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1080/1475939X.2021.1927164es_ES
dc.subject.unesco61 Psicologíaes_ES
dc.identifier.doi10.1080/1475939X.2021.1927164
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.identifier.essn1747-5139
dc.journal.titleTechnology, Pedagogy and Educationes_ES
dc.volume.number30es_ES
dc.issue.number4es_ES
dc.page.initial511es_ES
dc.page.final523es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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