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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/6166

    Título
    Measuring Acceptance of Block‑Based Coding Environments
    Autor
    Toma, Radu BogdanAutoridad UBU Orcid
    Publicado en
    Technology, Knowledge and Learning. 2021
    Editorial
    Springer
    Fecha de publicación
    2021-08
    ISSN
    2211-1662
    DOI
    10.1007/s10758-021-09562-x
    Zusammenfassung
    The development of computational thinking skills is attracting attention worldwide. The use of visual or block-based coding in primary schools has gained momentum. Yet, students’ acceptance of such coding environments has been neglected in the literature. This study presents a measurement instrument that will allow pursuing such an endeavor. The Technology Acceptance Model was used as a guiding framework. A panel of eight experts and a purposive sample of 315 elementary school students (Mage = 10.18 years, SD = 1.13) were recruited. Inter-rater agreement between experts (75–100%) confirmed the content validity of the items. Exploratory factor analysis resulted in a three-factor solution of 12 items measuring perceived usefulness, perceived ease of use, and attitudes towards visual coding. Inspection of the correlation matrix provided evidence of convergent and discriminant validity. Cronbach’s alpha (.75–.82), McDonald’s omega (.68–.83), and Spearman- Brown’s split-half coefficients (.67–.80) provided evidence of reliability. Overall, findings support the validity and reliability of the proposed instrument. Its use can shed light on students’ acceptance of different block-based coding environments.
    Palabras clave
    Block-based coding
    Visual coding
    Computational thinking
    Instrument
    Acceptance
    Validity and reliability
    Materia
    Enseñanza primaria
    Education, Primary
    Planificación educativa
    Educational planning
    URI
    http://hdl.handle.net/10259/6166
    Versión del editor
    https://doi.org/10.1007/s10758-021-09562-x
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    Nombre:
    Toma-tkl_2021.pdf
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