Eurasia Journal of Mathematics, Science and Technology Education

• Angeli, C., & Giannakos, M. (2019). Computational thinking education: Issues and challenges. Computers in Human Behavior, 105, Article 106185. https://doi.org/10.1016/J.CHB.2019.106185
• Ausiku, M., & Matthee, M. (2021). Preparing primary school teachers for teaching computational thinking: A systematic review. Lecture Notes in Computer Science, 12511, 202-213. https://doi.org/10.1007/978-3-030-66906-5_19
• Avcı, C., & Deniz, M. N. (2022). Computational thinking: Early childhood teachers’ and prospective teachers’ preconceptions and self-efficacy. Education and Information Technologies, 27(8), 11689-11713. https://doi.org/10.1007/s10639-022-11078-5
• Balbinotti, M. A. A. (2005). In order to evaluate the expectations, it is necessary to reflect on the validity of psychological tests. Aletheia, 1(21), 43-52.
• Butler, D., & Leahy, M. (2021). Developing preservice teachers’ understanding of computational thinking: A constructionist approach. British Journal of Educational Technology, 52(3), 1060-1077. https://doi.org/10.1111/bjet.13090
• Çakir, R., Rosaline, S., & Korkmaz, Ö. (2021). Computational thinking skills of Turkish and Indian teacher candidates: A comparative study. International Journal of Psychology and Educational Studies, 8(1), 24-37. https://doi.org/10.17220/ijpes.2021.8.1.226
• Çoban, E., & Korkmaz, Ö. (2021). An alternative approach for measuring computational thinking: Performance-based platform. Thinking Skills and Creativity, 42, Article 100929. https://doi.org/10.1016/j.tsc.2021.100929
• Da Cruz Alves, N., Gresse Von Wangenheim, C., & Hauck, J. C. R. (2019). Approaches to assess computational thinking competences based on code analysis in K-12 education: A systematic mapping study. Informatics in Education, 18(1), 17-39. https://doi.org/10.15388/infedu.2019.02
• Dong, W., Li, Y., Sun, L., & Liu, Y. (2024). Developing pre-service teachers’ computational thinking: A systematic literature review. International Journal of Technology and Design Education, 34(1), 191-227. https://doi.org/10.1007/s10798-023-09811-3
• El-Hamamsy, L., Bruno, B., Chessel-Lazzarotto, F., Chevalier, M., Roy, D., Zufferey, J. D., & Mondada, F. (2021). The symbiotic relationship between educational robotics and computer science in formal education. Education and Information Technologies, 26(5), 5077-5107. https://doi.org/10.1007/s10639-021-10494-3
• Eroğlu, A. (2008). Factor analyses. In S. Kalaycı (Ed.), Multivariable statistic techniques with SPSS applications (pp. 321-331). Asil Pub.
• Espadeiro, R. G. (2021). O pensamento computacional no currículo de matemática [Computational thinking in the mathematics curriculum]. Educação e Matemática, 162, 5-10.
• Espinal, A., Vieira, C., & Magana, A. J. (2024). Professional development in computational thinking: A systematic literature review. ACM Transactions on Computing Education, 24(2), Article 27. https://doi.org/10.1145/3648477
• Fávero, L. P., Belfiore, P., Silva, F. L., & Chan, B. L. (2009). Análise de dados: Modelagem multivariada para tomada de decisões [Data analysis: Multivariate modeling for decision making]. Elsevier.
• Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE.
• Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/0013189X12463051
• Haşlaman, T., Mumcu, F. K., & Uslu, N. A. (2024). Fostering computational thinking through digital storytelling: A distinctive approach to promoting computational thinking skills of pre-service teachers. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12583-5
• Hernandez-Nieto, R. (2002). Contributions to statistical analysis. Los Andes University Press.
• Kaya, E., Yesilyurt, E., Newley, A., & Deniz, H. (2019). Examining the impact of a computational thinking intervention on pre-service elementary science teachers’ computational thinking teaching efficacy beliefs, interest and confidence. Journal of Computers in Mathematics and Science Teaching, 38(4), 385-392.
• Kılıç, S., Gökoğlu, S., & Öztürk, M. (2021). A valid and reliable scale for developing programming-oriented computational thinking. Journal of Educational Computing Research, 59(2), 257-286. https://doi.org/10.1177/0735633120964402
• Knie, L., Standl, B., & Schwarzer, S. (2022). First experiences of integrating computational thinking into a blended learning in-service training program for STEM teachers. Computer Applications in Engineering Education, 30(5), 1423-1439. https://doi.org/10.1002/cae.22529
• Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155-163. https://doi.org/10.1016/J.JCM.2016.02.012
• Korkmaz, Ö., Çakir, R., & Özden, M. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior, 72, 558-569. https://doi.org/10.1016/j.chb.2017.01.005
• Kravik, R., Berg, T., & Siddiq, F. (2022). Teachers’ understanding of programming and computational thinking in primary education–A critical need for professional development. Acta Didactica Norden, 16(4), Article 23. https://doi.org/10.5617/adno.9194
• Li, X., Sang, G., Valcke, M., & van Braak, J. (2024a). Computational thinking integrated into the English language curriculum in primary education: A systematic review. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12522-4
• Li, X., Sang, G., Valcke, M., & van Braak, J. (2024b). The development of an assessment scale for computational thinking competence of in-service primary school teachers. Journal of Educational Computing Research, 62(6), 1538-1567. https://doi.org/10.1177/07356331241254575
• Ling, U. L., Saibin, T. C., Labadin, J., & Aziz, N. A. (2017). Preliminary investigation: Teachers perception on computational thinking concepts. Journal of Telecommunication, Electronic and Computer Engineering, 9(2-9), 23-29.
• Macann, V., & Carvalho, L. (2021). Teachers use of public makerspaces to support students’ development of digital technology competencies. New Zealand Journal of Educational Studies, 56(SUPPL 1), 125-142. https://doi.org/10.1007/s40841-020-00190-0
• Marôco, J. (2021). Análise estatística com o SPSS statistics [Statistical analysis with SPSS statistics]. ReportNumber, Lda.
• Menolli, A., & Neto, J. C. (2022). Computational thinking in computer science teacher training courses in Brazil: A survey and a research roadmap. Education and Information Technologies, 27(2), 2099-2135. https://doi.org/10.1007/s10639-021-10667-0
• Ministério da Educação. (2021). Aprendizagens essenciais de matemática [Essential math learnings]. ME.
• Nunnally, J. C. (1978). Psychometric theory. McGraw-Hill.
• Ortuño Meseguer, G., & Serrano, J. L. (2024). Implementation and training of primary education teachers in computational thinking: A systematic review. RIED-Revista Iberoamericana de Educacion a Distancia, 27(1), 255-287. https://doi.org/10.5944/ried.27.1.37572
• Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge. https://doi.org/10.4324/9781003117452
• Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
• Pestana, M. H., & Gageiro, J. N. (2014). Análise de dados para ciências sociais: A complementaridade do SPSS [Data analysis for social sciences: The complementarity of SPSS]. Edições Sílabo, Lda.
• Pewkam, W., & Chamrat, S. (2022). Pre-service teacher training program of STEM-based activities in computing science to develop computational thinking. Informatics in Education, 21(2), 311-329. https://doi.org/10.15388/infedu.2022.09
• Rao, T. S. S., & Bhagat, K. K. (2024). Computational thinking for the digital age: A systematic review of tools, pedagogical strategies, and assessment practices. Educational Technology Research and Development, 72(4), 1893-1924. https://doi.org/10.1007/s11423-024-10364-y
• Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678-691. https://doi.org/10.1016/J.CHB.2016.08.047
• Román-González, M., Pérez-González, J.-C., Moreno-León, J., & Robles, G. (2018). Can computational talent be detected? Predictive validity of the computational thinking test. International Journal of Child-Computer Interaction, 18, 47-58. https://doi.org/10.1016/j.ijcci.2018.06.004
• Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003
• Sırakaya, M., Alsancak Sırakaya, D., & Korkmaz, Ö. (2020). The impact of STEM attitude and thinking style on computational thinking determined via structural equation modeling. Journal of Science Education and Technology, 29(4), 561-572. https://doi.org/10.1007/S10956-020-09836-6
• Sun, L., You, X., & Zhou, D. (2023). Evaluation and development of STEAM teachers’ computational thinking skills: Analysis of multiple influential factors. Education and Information Technologies, 28(11), 14493-14527. https://doi.org/10.1007/s10639-023-11777-7
• Werner, L., Denner, J., Campe, S., & Kawamoto, D. (2012). The fairy performance assessment: Measuring computational thinking in middle school. In Proceedings of the 43^rd ACM Technical Symposium on Computer Science Education (pp. 215-220). https://doi.org/10.1145/2157136.2157200
• Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
• Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1), Article 5. https://doi.org/10.1145/2576872

APA

Rodrigues, R. N., Brito-Costa, S., Abbasi, M., Costa, C., & Martins, F. (2024). Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking. Eurasia Journal of Mathematics, Science and Technology Education, 20(11), em2528. https://doi.org/10.29333/ejmste/15523

Vancouver

Rodrigues RN, Brito-Costa S, Abbasi M, Costa C, Martins F. Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking. EURASIA J Math Sci Tech Ed. 2024;20(11):em2528. https://doi.org/10.29333/ejmste/15523

AMA

Rodrigues RN, Brito-Costa S, Abbasi M, Costa C, Martins F. Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking. EURASIA J Math Sci Tech Ed. 2024;20(11), em2528. https://doi.org/10.29333/ejmste/15523

Chicago

Rodrigues, Rita Neves, Sónia Brito-Costa, Maryam Abbasi, Cecília Costa, and Fernando Martins. "Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking". Eurasia Journal of Mathematics, Science and Technology Education 2024 20 no. 11 (2024): em2528. https://doi.org/10.29333/ejmste/15523

Harvard

Rodrigues, R. N., Brito-Costa, S., Abbasi, M., Costa, C., and Martins, F. (2024). Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking. Eurasia Journal of Mathematics, Science and Technology Education, 20(11), em2528. https://doi.org/10.29333/ejmste/15523

MLA

Rodrigues, Rita Neves et al. "Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking". Eurasia Journal of Mathematics, Science and Technology Education, vol. 20, no. 11, 2024, em2528. https://doi.org/10.29333/ejmste/15523