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<dc:title>Measuring Acceptance of Block‑Based Coding Environments</dc:title>
<dc:creator>Toma, Radu Bogdan</dc:creator>
<dc:subject>Block-based coding</dc:subject>
<dc:subject>Visual coding</dc:subject>
<dc:subject>Computational thinking</dc:subject>
<dc:subject>Instrument</dc:subject>
<dc:subject>Acceptance</dc:subject>
<dc:subject>Validity and reliability</dc:subject>
<dc:description>The development of computational thinking skills is attracting attention worldwide. The&#xd;
use of visual or block-based coding in primary schools has gained momentum. Yet, students’&#xd;
acceptance of such coding environments has been neglected in the literature. This&#xd;
study presents a measurement instrument that will allow pursuing such an endeavor. The&#xd;
Technology Acceptance Model was used as a guiding framework. A panel of eight experts&#xd;
and a purposive sample of 315 elementary school students (Mage = 10.18 years, SD = 1.13)&#xd;
were recruited. Inter-rater agreement between experts (75–100%) confirmed the content&#xd;
validity of the items. Exploratory factor analysis resulted in a three-factor solution of 12&#xd;
items measuring perceived usefulness, perceived ease of use, and attitudes towards visual&#xd;
coding. Inspection of the correlation matrix provided evidence of convergent and discriminant&#xd;
validity. Cronbach’s alpha (.75–.82), McDonald’s omega (.68–.83), and Spearman-&#xd;
Brown’s split-half coefficients (.67–.80) provided evidence of reliability. Overall, findings&#xd;
support the validity and reliability of the proposed instrument. Its use can shed light on&#xd;
students’ acceptance of different block-based coding environments.</dc:description>
<dc:date>2021-11-17T09:04:01Z</dc:date>
<dc:date>2021-11-17T09:04:01Z</dc:date>
<dc:date>2021-08</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>2211-1662</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/6166</dc:identifier>
<dc:identifier>10.1007/s10758-021-09562-x</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Technology, Knowledge and Learning. 2021</dc:relation>
<dc:relation>https://doi.org/10.1007/s10758-021-09562-x</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>Springer</dc:publisher>
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