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Published in: Journal of Science Education and Technology 4/2020

24-05-2020

The Impact of STEM Attitude and Thinking Style on Computational Thinking Determined via Structural Equation Modeling

Authors: Mustafa Sırakaya, Didem Alsancak Sırakaya, Özgen Korkmaz

Published in: Journal of Science Education and Technology | Issue 4/2020

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Abstract

This study aimed to investigate the relationships among computational thinking (CT) skills, science, technology, engineering and mathematics (STEM) attitude, and thinking styles with the help of structural equation modeling and to determine to what extent the variables of STEM attitude and thinking styles explained CT skills. The study, conducted with relational screening model, included 703 secondary school students. “STEM attitude scale,” “thinking styles scale,” and “computational thinking scale” were used as data collection tools. The data were analyzed by structural equation modeling. Based on the study results, it was concluded that the proposed model was valid and STEM attitude and thinking styles had a significant effect on CT skills. It was found that STEM attitude and thinking styles together explained 43% of CT skills.

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Literature
go back to reference Angeli, C., & Valanides, N. (2020). Developing young children’s computational thinking with educational robotics: an interaction effect between gender and scaffolding strategy. Computers in Human Behavior, 105, 1–13. Angeli, C., & Valanides, N. (2020). Developing young children’s computational thinking with educational robotics: an interaction effect between gender and scaffolding strategy. Computers in Human Behavior, 105, 1–13.
go back to reference Arıol, Ş. (2009). The effects of preservice matematics teachers’ holistic and analytic thinking styles on mathematical problem solving. Master thesis. Hacettepe University: Ankara. Arıol, Ş. (2009). The effects of preservice matematics teachers’ holistic and analytic thinking styles on mathematical problem solving. Master thesis. Hacettepe University: Ankara.
go back to reference Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is involved and what is the role of the computer science education community? Inroads, 2(1), 48–54.CrossRef Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is involved and what is the role of the computer science education community? Inroads, 2(1), 48–54.CrossRef
go back to reference Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: a digital age skill for everyone. Learning & Leading with Technology, 38(6), 20–23. Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: a digital age skill for everyone. Learning & Leading with Technology, 38(6), 20–23.
go back to reference Batı, K., Çalışkan, İ., & Yetişir, M. İ. (2017). Computational thinking and integrative education (STEAM) in science education. Pamukkale University Journal of Education, 41(41), 91–103.CrossRef Batı, K., Çalışkan, İ., & Yetişir, M. İ. (2017). Computational thinking and integrative education (STEAM) in science education. Pamukkale University Journal of Education, 41(41), 91–103.CrossRef
go back to reference Bayram, N. (2010). Yapısal eşitlik modellemesine giriş, AMOS uygulamaları, (Introduction to structural equation modeling, AMOS applications). Bursa: Ezgi Pub. Bayram, N. (2010). Yapısal eşitlik modellemesine giriş, AMOS uygulamaları, (Introduction to structural equation modeling, AMOS applications). Bursa: Ezgi Pub.
go back to reference Bilbao, J., Bravo, E., Garcia, O., Varela, C., & Rebollar, C. (2017). Assessment of computational thinking notions in secondary school. Baltic Journal of Modern Computing, 5(4), 391–397.CrossRef Bilbao, J., Bravo, E., Garcia, O., Varela, C., & Rebollar, C. (2017). Assessment of computational thinking notions in secondary school. Baltic Journal of Modern Computing, 5(4), 391–397.CrossRef
go back to reference Breiner, J. M., Harkness, S. S., Johnson, C. C., & Koehler, C. M. (2012). What is STEM? A discussion about conceptions of STEM in education and partnerships. School Science and Mathematics, 112(1), 3–11.CrossRef Breiner, J. M., Harkness, S. S., Johnson, C. C., & Koehler, C. M. (2012). What is STEM? A discussion about conceptions of STEM in education and partnerships. School Science and Mathematics, 112(1), 3–11.CrossRef
go back to reference Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association, Vancouver, Canada (Vol. 1, p. 25). Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association, Vancouver, Canada (Vol. 1, p. 25).
go back to reference Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67–69. Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67–69.
go back to reference Bybee, R. W. (2010). Advancing STEM education: a 2020 vision. Technology and Engineering Teacher, 70(1), 30. Bybee, R. W. (2010). Advancing STEM education: a 2020 vision. Technology and Engineering Teacher, 70(1), 30.
go back to reference Cheung, R. H. P. (2013). Exploring the use of the pedagogical framework for creative practice in preschool settings: a phenomenological approach. Thinking Skills and Creativity, 10, 133–142.CrossRef Cheung, R. H. P. (2013). Exploring the use of the pedagogical framework for creative practice in preschool settings: a phenomenological approach. Thinking Skills and Creativity, 10, 133–142.CrossRef
go back to reference CSTA. (2011). CSTA K-12 computer science Standarts. ACM Order Department. CSTA. (2011). CSTA K-12 computer science Standarts. ACM Order Department.
go back to reference Dagiene, V., & Stupuriene, G. (2016). Bebras—a sustainable community building model for the concept based learning of ınformatics and computational thinking. Informatics in Education, 15(1), 25–44.CrossRef Dagiene, V., & Stupuriene, G. (2016). Bebras—a sustainable community building model for the concept based learning of ınformatics and computational thinking. Informatics in Education, 15(1), 25–44.CrossRef
go back to reference Dewey, R. A. (2007). Psychology: an introduction. Wadsworth Publishing. Dewey, R. A. (2007). Psychology: an introduction. Wadsworth Publishing.
go back to reference Dugger, W. E. (2010). Evolution of STEM in the United States. In the 6th Biennial International Conference on Technology Education Research, Queensland, Australia. Dugger, W. E. (2010). Evolution of STEM in the United States. In the 6th Biennial International Conference on Technology Education Research, Queensland, Australia.
go back to reference Faber, M., Unfried, A., Wiebe, E. N., Corn, J., Townsend, L. W., & Collins, T. L. (2013). Student attitudes toward STEM: the development of upper elementary school and middle/high school student surveys. In the Proceedings of the 120th American Society of Engineering Education Conference. Faber, M., Unfried, A., Wiebe, E. N., Corn, J., Townsend, L. W., & Collins, T. L. (2013). Student attitudes toward STEM: the development of upper elementary school and middle/high school student surveys. In the Proceedings of the 120th American Society of Engineering Education Conference.
go back to reference Garcia-Peñalvo, F. J., & Mendes, A. J. (2018). Exploring the computational thinking effects in pre-university education. Computers in Human Behavior, 80, 407–411.CrossRef Garcia-Peñalvo, F. J., & Mendes, A. J. (2018). Exploring the computational thinking effects in pre-university education. Computers in Human Behavior, 80, 407–411.CrossRef
go back to reference George, D., & Mallery, P. (2003). SPSS for windows step by step: a simple guide and reference. Boston: Allyn & Bacon. George, D., & Mallery, P. (2003). SPSS for windows step by step: a simple guide and reference. Boston: Allyn & Bacon.
go back to reference Grover, S., & Pea, R. (2013). Computational thinking in K-12: a review of the state of the field. Educational Research, 42(1), 38–43.CrossRef Grover, S., & Pea, R. (2013). Computational thinking in K-12: a review of the state of the field. Educational Research, 42(1), 38–43.CrossRef
go back to reference Gunbatar, M. S., & Bakirci, H. (2019). STEM teaching intention and computational thinking skills of pre-service teachers. Education and Information Technologies, 24(2), 1615–1629.CrossRef Gunbatar, M. S., & Bakirci, H. (2019). STEM teaching intention and computational thinking skills of pre-service teachers. Education and Information Technologies, 24(2), 1615–1629.CrossRef
go back to reference Gürbüz, S., & Şahin, F. (2014). Sosyal bilimlerde araştırma yöntemleri (Research methods in social sciences). Ankara: Sekin Pub. Gürbüz, S., & Şahin, F. (2014). Sosyal bilimlerde araştırma yöntemleri (Research methods in social sciences). Ankara: Sekin Pub.
go back to reference Henderson, P. B., Cortina, T. J., & Wing, J. M. (2007). Computational thinking. ACM SIGCSE Bulletin, 39(1), 195–196.CrossRef Henderson, P. B., Cortina, T. J., & Wing, J. M. (2007). Computational thinking. ACM SIGCSE Bulletin, 39(1), 195–196.CrossRef
go back to reference Holmes, R. M., Liden, S., & Shin, L. (2013). Children's thinking styles, play and academic performance. American Journal of Play, 5(2), 219–238. Holmes, R. M., Liden, S., & Shin, L. (2013). Children's thinking styles, play and academic performance. American Journal of Play, 5(2), 219–238.
go back to reference Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018). How to learn and how to teach computational thinking: suggestions based on a review of the literature. Computers in Education, 126, 296–310.CrossRef Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018). How to learn and how to teach computational thinking: suggestions based on a review of the literature. Computers in Education, 126, 296–310.CrossRef
go back to reference Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRef Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRef
go back to reference Kalelioglu, F., Gulbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583. Kalelioglu, F., Gulbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583.
go back to reference Karasar, N. (2012). Bilimsel araştırma yöntemi (scientific research methods). Ankara: Nobel Pub. Karasar, N. (2012). Bilimsel araştırma yöntemi (scientific research methods). Ankara: Nobel Pub.
go back to reference Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford publications. Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford publications.
go back to reference Kong, S.-C., Chiu, M. M., & Lai, M. (2018). A study of primary school students’ interest, collaboration attitude, and programming empowerment in computational thinking education. Computers in Education, 127, 178–189.CrossRef Kong, S.-C., Chiu, M. M., & Lai, M. (2018). A study of primary school students’ interest, collaboration attitude, and programming empowerment in computational thinking education. Computers in Education, 127, 178–189.CrossRef
go back to reference Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2015). Computational thinking levels scale (ctls) adaptation for secondary school level. Gazi Journal of Educational Science, 1(2), 143–162. Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2015). Computational thinking levels scale (ctls) adaptation for secondary school level. Gazi Journal of Educational Science, 1(2), 143–162.
go back to reference Korkmaz, Ö., Çakir, R., & Özden, M. Y. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior, 72, 558–569.CrossRef Korkmaz, Ö., Çakir, R., & Özden, M. Y. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior, 72, 558–569.CrossRef
go back to reference Labov, J. B., Reid, A. H., & Yamamoto, K. R. (2010). Integrated biology and undergraduate science education: a new biology education for the twenty-first century? CBE Life Sciences Education, 9(1), 10–16.CrossRef Labov, J. B., Reid, A. H., & Yamamoto, K. R. (2010). Integrated biology and undergraduate science education: a new biology education for the twenty-first century? CBE Life Sciences Education, 9(1), 10–16.CrossRef
go back to reference Lomax, R. G., & Schumacker, R. E. (2004). A beginner’s guide to structural equation modeling. New York: Psychology press. Lomax, R. G., & Schumacker, R. E. (2004). A beginner’s guide to structural equation modeling. New York: Psychology press.
go back to reference Luo, F., Antonenko, P. D., & Davis, E. C. (2020). Exploring the evolution of two girls’ conceptions and practices in computational thinking in science. Computers in Education, 146, 103759.CrossRef Luo, F., Antonenko, P. D., & Davis, E. C. (2020). Exploring the evolution of two girls’ conceptions and practices in computational thinking in science. Computers in Education, 146, 103759.CrossRef
go back to reference Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: what is next for K-12? Computers in Human Behavior, 41, 51–61.CrossRef Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: what is next for K-12? Computers in Human Behavior, 41, 51–61.CrossRef
go back to reference Mahoney, M. P. (2010). Students’ attitudes toward STEM: development of an instrument for high school STEM-based programs. Journal of Technology Studies, 36(1), 24–34.CrossRef Mahoney, M. P. (2010). Students’ attitudes toward STEM: development of an instrument for high school STEM-based programs. Journal of Technology Studies, 36(1), 24–34.CrossRef
go back to reference Meydan, C. H., & Şeşen, H. (2011). Yapısal eşitlik modellemesi AMOS uygulamaları (Structural equation modeling AMOS applications). Ankara: Detay Pub. Meydan, C. H., & Şeşen, H. (2011). Yapısal eşitlik modellemesi AMOS uygulamaları (Structural equation modeling AMOS applications). Ankara: Detay Pub.
go back to reference Meyrick, K. M. (2011). How STEM education improves student learning. Meridian K-12 School Computer Technologies Journal, 14(1), 1–5. Meyrick, K. M. (2011). How STEM education improves student learning. Meridian K-12 School Computer Technologies Journal, 14(1), 1–5.
go back to reference Morrison, J. (2006). TIES STEM education monograph series, attributes of STEM education. Baltimore: TIES. Morrison, J. (2006). TIES STEM education monograph series, attributes of STEM education. Baltimore: TIES.
go back to reference Pérez-Marín, D., Hijón-Neira, R., Bacelo, A., & Pizarro, C. (2020). Can computational thinking be improved by using a methodology based on metaphors and scratch to teach computer programming to children? Computers in Human Behavior, 105, 105849.CrossRef Pérez-Marín, D., Hijón-Neira, R., Bacelo, A., & Pizarro, C. (2020). Can computational thinking be improved by using a methodology based on metaphors and scratch to teach computer programming to children? Computers in Human Behavior, 105, 105849.CrossRef
go back to reference Pollack, S., Haberman, B., & Meerbaum-Salant, O. (2017). Constructing models in physics: what computational thinking occurs? (Vol. 23, pp. 133–136). Hong Kong: Siu-Cheung KONG The Education University of Hong Kong. Pollack, S., Haberman, B., & Meerbaum-Salant, O. (2017). Constructing models in physics: what computational thinking occurs? (Vol. 23, pp. 133–136). Hong Kong: Siu-Cheung KONG The Education University of Hong Kong.
go back to reference Repenning, A., Webb, D., & Ioannidou, A. (2010). Scalable game design and the development of a checklist for getting computational thinking into public schools. In Proceedings of the 41st ACM technical symposium on Computer science education (pp. 265–269). Repenning, A., Webb, D., & Ioannidou, A. (2010). Scalable game design and the development of a checklist for getting computational thinking into public schools. In Proceedings of the 41st ACM technical symposium on Computer science education (pp. 265–269).
go back to reference Roman-Gonzalez, M., Perez-Gonzalez, J.-C., & Jimez-Fernandez, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678–691.CrossRef Roman-Gonzalez, M., Perez-Gonzalez, J.-C., & Jimez-Fernandez, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678–691.CrossRef
go back to reference 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.CrossRef 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.CrossRef
go back to reference Schwartz, J., Stagner, J., & Morrison, W. (2006). Kid's programming language (KPL). In ACM SIGGRAPH 2006 educators program (p. 52). ACM. Schwartz, J., Stagner, J., & Morrison, W. (2006). Kid's programming language (KPL). In ACM SIGGRAPH 2006 educators program (p. 52). ACM.
go back to reference Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education. Canterbury: ACM: University of Southampton. Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education. Canterbury: ACM: University of Southampton.
go back to reference Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: a theoretical framework. Education and Information Technologies, 18(2), 351–380.CrossRef Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: a theoretical framework. Education and Information Technologies, 18(2), 351–380.CrossRef
go back to reference Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158.CrossRef Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158.CrossRef
go back to reference Şimşek, Ö. F. (2007). Yapısal eşitlik modellemesine giriş:Temel ilkeler ve LISREL uygulamaları (introduction to structural equation modeling: basic principles and LISREL applications). Ankara: Ekinoks Pub. Şimşek, Ö. F. (2007). Yapısal eşitlik modellemesine giriş:Temel ilkeler ve LISREL uygulamaları (introduction to structural equation modeling: basic principles and LISREL applications). Ankara: Ekinoks Pub.
go back to reference Snodgrass, M. R., Israel, M., & Reese, G. C. (2016). Instructional supports for students with disabilities in K-5 computing: findings from a cross-case analysis. Computers in Education, 100, 1–17.CrossRef Snodgrass, M. R., Israel, M., & Reese, G. C. (2016). Instructional supports for students with disabilities in K-5 computing: findings from a cross-case analysis. Computers in Education, 100, 1–17.CrossRef
go back to reference Sternberg, R. J., & Grigorenko, E. L. (1993). Thinking styles and the gifted. Roeper Review, 16(2), 122–130.CrossRef Sternberg, R. J., & Grigorenko, E. L. (1993). Thinking styles and the gifted. Roeper Review, 16(2), 122–130.CrossRef
go back to reference Sternberg, R. J., & Grigorenko, E. L. (1997). Are cognitive styles still in style? The American Psychologist, 52(7), 700–712.CrossRef Sternberg, R. J., & Grigorenko, E. L. (1997). Are cognitive styles still in style? The American Psychologist, 52(7), 700–712.CrossRef
go back to reference Swanson, H., Anton, G., Bain, C., Horn, M., & Wilensky, U. (2017). Computational thinking in the science classroom. InInternational Conference on Computational Thinking Education 2017. Swanson, H., Anton, G., Bain, C., Horn, M., & Wilensky, U. (2017). Computational thinking in the science classroom. InInternational Conference on Computational Thinking Education 2017.
go back to reference Tseng, K.-H., Chang, C.-C., Lou, S.-J., & Chen, W.-P. (2013). Attitudes towards science, technology, engineering and mathematics (STEM) in a project-based learning (PjBL) environment. International Journal of Technology and Design Education, 23(1), 87–102.CrossRef Tseng, K.-H., Chang, C.-C., Lou, S.-J., & Chen, W.-P. (2013). Attitudes towards science, technology, engineering and mathematics (STEM) in a project-based learning (PjBL) environment. International Journal of Technology and Design Education, 23(1), 87–102.CrossRef
go back to reference Wang, X. (2013). Why students choose STEM majors: motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081–1121.CrossRef Wang, X. (2013). Why students choose STEM majors: motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081–1121.CrossRef
go back to reference Wang, T. L., & Tseng, Y. K. (2013). Do thinking styles matter for science achievement and attitudes toward science class in male and female elementary school students in Taiwan? International Journal of Science and Mathematics Education, 13, 515–533.CrossRef Wang, T. L., & Tseng, Y. K. (2013). Do thinking styles matter for science achievement and attitudes toward science class in male and female elementary school students in Taiwan? International Journal of Science and Mathematics Education, 13, 515–533.CrossRef
go back to reference Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127–147.CrossRef Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127–147.CrossRef
go back to reference Wilensky, U., & Reisman, K. (2006). Thinking like a wolf, a sheep, or a firefly: learning biology through constructing and testing computational theories—an embodied modeling approach. Cognition and Instruction, 24(2), 171–209.CrossRef Wilensky, U., & Reisman, K. (2006). Thinking like a wolf, a sheep, or a firefly: learning biology through constructing and testing computational theories—an embodied modeling approach. Cognition and Instruction, 24(2), 171–209.CrossRef
go back to reference Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.CrossRef Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.CrossRef
go back to reference Wing, J. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical. Physical and Engineering Sciences, 366(1881), 3717–3725.CrossRef Wing, J. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical. Physical and Engineering Sciences, 366(1881), 3717–3725.CrossRef
go back to reference Wing, J. (2011). Research notebook: computational thinking—what and why. The Link Magazine, 20–23. Wing, J. (2011). Research notebook: computational thinking—what and why. The Link Magazine, 20–23.
go back to reference Wing, J. (2014). Computational thinking benefits society. 40th Anniversary Blog of Social Issues in Computing, 2014. Wing, J. (2014). Computational thinking benefits society. 40th Anniversary Blog of Social Issues in Computing, 2014.
go back to reference Wing, J. (2016). Computational thinking, 10 years later. Microsoft Research Blog, 23. Wing, J. (2016). Computational thinking, 10 years later. Microsoft Research Blog, 23.
go back to reference Yıldırım, B., & Selvi, M. (2015). Adaptation of stem attitude scale to turkish. Electronic Turkish Studies, 10(3), 1117–1130. Yıldırım, B., & Selvi, M. (2015). Adaptation of stem attitude scale to turkish. Electronic Turkish Studies, 10(3), 1117–1130.
go back to reference Yildiz Durak, H., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. Computers in Education, 116, 191–202.CrossRef Yildiz Durak, H., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. Computers in Education, 116, 191–202.CrossRef
go back to reference Young, S. P. (2018). How to equip students to be problem solvers through STEAM. JSSE Research Report, 32(8), 3–6. Young, S. P. (2018). How to equip students to be problem solvers through STEAM. JSSE Research Report, 32(8), 3–6.
Metadata
Title
The Impact of STEM Attitude and Thinking Style on Computational Thinking Determined via Structural Equation Modeling
Authors
Mustafa Sırakaya
Didem Alsancak Sırakaya
Özgen Korkmaz
Publication date
24-05-2020
Publisher
Springer Netherlands
Published in
Journal of Science Education and Technology / Issue 4/2020
Print ISSN: 1059-0145
Electronic ISSN: 1573-1839
DOI
https://doi.org/10.1007/s10956-020-09836-6

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