Author, as appears in the article.: Andrés Santiago Cisneros-Barahona; Luis Marqués-Molías; Nicolay Samaniego-Erazo; Catalina Mejía-Granizo; Gabriela De la Cruz-Fernández
Department: Pedagogia
e-ISSN: 2046-1402
URV's Author/s: Cisneros Barahona, Andrés Santiago / Marqués Molías, Luis
Keywords: University teachers Technological literacy Teacher training Surveys and questionnaires Reproducibility of results Learning Humans Educational research Ecuador Cross-sectional studies Confirmatory factor analysis
Abstract: Background: Technology plays a fundamental role to achieve higher education key learning objectives. Digital competence (DC) is defined as a set of skills, knowledge, abilities, and attitudes in technological aspects. It is necessary to employ an effective training action plan in higher education institutions to advance towards a level of teaching digital competence (TDC). The objective of this study was to validate the COMDID A instrument to assess Teaching Digital Competence (TDC) of active teachers, through a confirmatory factor and internal reliability analysis. Methods: The research was developed within a descriptive-correlational scope and a non-experimental-cross-sectional design to validate the dimensionality and reliability of the COMDID A instrument and evaluate the self-perceived digital competence of active teachers. The population was made up of 690 professors who were part of the teaching staff of the National University of Chimborazo, Ecuador, in the first academic period of the year 2021. The sample was probabilistic, in a simple random scheme, the percentage of potential error admitted was 3%. The representativeness of the sample was 50%, and the confidence level was 97%. A total of 511 teachers completed the questionnaire compared to the 452 individuals needed. Results: The instrument was robust, and it was reliable for the calculated sample. There were correlations between the variables, and the statistical calculation ensured the development of the multivariate analysis to validate the dimensionality of the instrument. Moreover, the correct dimensionality was determined through a confirmatory analysis and high reliability of the instrument. Conclusions: The calculated factorial scores were defined in order for further studies to be carried out. It is important to apply confirmatory factor analysis in educational technology research to validate the dimensionality of data collection instruments.
Thematic Areas: Pharmacology, toxicology and pharmaceutics (miscellaneous) Pharmacology, toxicology and pharmaceutics (all) Medicine (miscellaneous) Medicine (all) Medicina veterinaria Medicina iii Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar Immunology and microbiology (miscellaneous) Immunology and microbiology (all) General pharmacology, toxicology and pharmaceutics General medicine General immunology and microbiology General biochemistry,genetics and molecular biology Farmacia Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência da computação Biotecnología Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all)
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: andressantiago.cisneros@estudiants.urv.cat luis.marques@urv.cat
Author identifier: 0000-0002-2524-041X 0000-0003-3370-8016
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/acceptedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: F1000research. 12 (866): 866-22
APA: Andrés Santiago Cisneros-Barahona; Luis Marqués-Molías; Nicolay Samaniego-Erazo; Catalina Mejía-Granizo; Gabriela De la Cruz-Fernández (2023). Multivariate data analysis: Validation of an instrument for the evaluation of teaching digital competence. F1000research, 12(866), 866-22. DOI: 10.12688/f1000research.135194.2
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications
Repositori URV