Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking

Computational thinking (CT) is an essential mathematical skill for problem-solving and students’ future lives. It is integrated into the educational curricula of several countries, including Portugal. Therefore, pre-service teachers (PST) must possess didactic knowledge to effectively develop CT in students. The aim of this study encompassed three main objectives: translating and adapting the computational thinking scale into Portuguese (study 1), validating the scale (study 2), and assessing the perceived levels of CT competencies among PST in Portuguese university students while examining differences between undergraduate and master’s level PST (study 3). The sample consisted of study 1 with 43 participants and study 2 and study 3 with 382 participants. In study 1, temporal stability was assessed indicating strong stability. The internal consistency showed good homogeneity of the items. The exploratory factor analysis revealed consistency with the structure of the original scale. In conclusion, the Portuguese version of the CT scale demonstrates adequate psychometric properties, proving valid and reliable for assessing CT in university students. Additionally, significant differences were observed between undergraduate and master’s degree students, underscoring the importance of tailored training programs to meet the specific needs of undergraduate students.

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Publication Details

Journal
Eurasia Journal of Mathematics Science and Technology Education
Published
2024-10-25
DOI
https://doi.org/10.29333/ejmste/15523
Citations
2
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.82
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article

Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking

Cecília Costa, Fernando Martíns, Rita Neves Rodrigues, Sónia Brito‐Costa et al.
2 citations
Eurasia Journal of Mathematics Science and Technology Education
Teaching and Learning Programming
0.82
article

Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking

Cecília Costa, Fernando Martíns, Rita Neves Rodrigues, Sónia Brito‐Costa, Maryam Abbasi
article en
2 citations

Abstract

Computational thinking (CT) is an essential mathematical skill for problem-solving and students’ future lives. It is integrated into the educational curricula of several countries, including Portugal. Therefore, pre-service teachers (PST) must possess didactic knowledge to effectively develop CT in students. The aim of this study encompassed three main objectives: translating and adapting the computational thinking scale into Portuguese (study 1), validating the scale (study 2), and assessing the perceived levels of CT competencies among PST in Portuguese university students while examining differences between undergraduate and master’s level PST (study 3). The sample consisted of study 1 with 43 participants and study 2 and study 3 with 382 participants. In study 1, temporal stability was assessed indicating strong stability. The internal consistency showed good homogeneity of the items. The exploratory factor analysis revealed consistency with the structure of the original scale. In conclusion, the Portuguese version of the CT scale demonstrates adequate psychometric properties, proving valid and reliable for assessing CT in university students. Additionally, significant differences were observed between undergraduate and master’s degree students, underscoring the importance of tailored training programs to meet the specific needs of undergraduate students.

Eurasia Journal of Mathematics Science and Technology EducationVol. 20(11)
University of Trás-os-Montes and Alto Douro (PT), Polytechnic Institute of Coimbra (PT), Instituto de Telecomunicações (PT), Research Center for Natural Resources, Environment and Society (PT), University of Aveiro (PT), University of Coimbra (PT)
Quality Education
Openalex Percentile: Top 18%
Teaching and Learning Programming
0.82
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