Articles producció científica> Pedagogia

Multivariate data analysis: Validation of an instrument for the evaluation of teaching digital competence

  • Identification data

    Identifier: imarina:9335203
    Handle: https://hdl.handle.net/20.500.11797/imarina9335203
    Authors:
    Andrés Santiago Cisneros-BarahonaLuis Marqués-MolíasNicolay Samaniego-ErazoCatalina Mejía-GranizoGabriela De la Cruz-Fernández
    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

  • Others:

    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
    Link to the original source: https://f1000research.com/articles/12-866/v2
    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
    Article's DOI: 10.12688/f1000research.135194.2
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications

  • Keywords:

    Biochemistry, Genetics and Molecular Biology (Miscellaneous),Immunology and Microbiology (Miscellaneous),Medicine (Miscellaneous),Pharmacology, Toxicology and Pharmaceutics (Miscellaneous)
    University teachers
    Technological literacy
    Teacher training
    Surveys and questionnaires
    Reproducibility of results
    Learning
    Humans
    Educational research
    Ecuador
    Cross-sectional studies
    Confirmatory factor analysis
    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)

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