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Exploratory factor analysis-instrument for self-assessment of computation thinking skills and collaboration skills
International Journal of Evaluation and Research in Education (IJERE) · Vol. 13 No. 2 (2024) · hlm. 1045–1060
ISSN 2620-5440, 2252-8822
Terbit 2024-04-01
Penerbit Institute of Advanced Engineering and Science
Bahasa eng
Abstrak
This study focuses on developing and validating instruments to assess the computational thinking skills (CTS) and collaboration skills (CS) of undergraduate students in Indonesia. Employing a quantitative research approach with the exploratory factor analysis (EFA) technique, the research process unfolded in three validation steps. First, face validity was established through expert judgment. Second, discriminant validity was examined using product-moment correlations and Cronbach’s alpha. Finally, EFA were employed to assess the factorial structure. The instrument development process followed five phases: drafting the instrument, face validity assessment by experts, data collection involving 242 undergraduate students as samples, discriminant validity analysis (product moment and Cronbach’s alpha), and EFA analysis to group items and construct dimensions. This study identified six dimensions for CTS (algorithmic thinking, cooperative thinking, problem reformulation, creativity, critical thinking, and systematic testing) and three dimensions for CS (knowledge sharing, planning, and responsibility). These findings support validating the CTS and CS self-assessment scale, making it a valuable tool for evaluating undergraduate student learning and researching computational thinking and CS in Indonesia. Researchers and educators are encouraged to utilize the CTS and CS instrument for self-assessment purposes and further exploration of these competencies among undergraduate students.
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Sumber metadata: OAI-PMH (metadata jurnal) http://ijere.iaescore.com/index.php/IJERE/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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<dc:title xml:lang="en-US">Exploratory factor analysis-instrument for self-assessment of computation thinking skills and collaboration skills</dc:title>
<dc:creator>Sawiji, Hery</dc:creator>
<dc:creator>Murtini, Wiedy</dc:creator>
<dc:creator>Akbarini, Nur Rahmi</dc:creator>
<dc:creator>Permansah, Sigit</dc:creator>
<dc:creator>Rusmana, Dede</dc:creator>
<dc:subject xml:lang="en-US">Collaboration skills; Computational thinking skills; Exploratory factor analysis; Instrument rating; Students of office administration</dc:subject>
<dc:description xml:lang="en-US">This study focuses on developing and validating instruments to assess the computational thinking skills (CTS) and collaboration skills (CS) of undergraduate students in Indonesia. Employing a quantitative research approach with the exploratory factor analysis (EFA) technique, the research process unfolded in three validation steps. First, face validity was established through expert judgment. Second, discriminant validity was examined using product-moment correlations and Cronbach’s alpha. Finally, EFA were employed to assess the factorial structure. The instrument development process followed five phases: drafting the instrument, face validity assessment by experts, data collection involving 242 undergraduate students as samples, discriminant validity analysis (product moment and Cronbach’s alpha), and EFA analysis to group items and construct dimensions. This study identified six dimensions for CTS (algorithmic thinking, cooperative thinking, problem reformulation, creativity, critical thinking, and systematic testing) and three dimensions for CS (knowledge sharing, planning, and responsibility). These findings support validating the CTS and CS self-assessment scale, making it a valuable tool for evaluating undergraduate student learning and researching computational thinking and CS in Indonesia. Researchers and educators are encouraged to utilize the CTS and CS instrument for self-assessment purposes and further exploration of these competencies among undergraduate students.</dc:description>
<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
<dc:contributor xml:lang="en-US"></dc:contributor>
<dc:date>2024-04-01</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en-US"></dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/25734</dc:identifier>
<dc:identifier>10.11591/ijere.v13i2.25734</dc:identifier>
<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 13, No 2: April 2024; 1045-1060</dc:source>
<dc:source>2620-5440</dc:source>
<dc:source>2252-8822</dc:source>
<dc:source>10.11591/ijere.v13i2</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/25734/13848</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science</dc:rights>
<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>
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APA 7
Sawiji, H., Murtini, W., Akbarini, N. R., Permansah, S., & Rusmana, D. (2024). Exploratory factor analysis-instrument for self-assessment of computation thinking skills and collaboration skills. International Journal of Evaluation and Research in Education (IJERE), 13(2), 1045–1060. https://doi.org/10.11591/ijere.v13i2.25734
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IEEE
H. Sawiji, W. Murtini, N. R. Akbarini, S. Permansah, and D. Rusmana, “Exploratory factor analysis-instrument for self-assessment of computation thinking skills and collaboration skills,” International Journal of Evaluation and Research in Education (IJERE), vol. 13, no. 2, pp. 1045–1060, 2024, doi: 10.11591/ijere.v13i2.25734.
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