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Year 2017, Volume: 2 Issue: 1, 11 - 19, 01.01.2017

Abstract

References

  • Akkoyunlu, B., Soylu, M.Y. & Caglar, M. (2010). A study on developing “digital empowerment scale” for university students. H. U. Journal of Education, 39, 10-19.
  • Aksoy, H. H. (2003). A analysis of concerning the use of technology and effects. Education, Science and Society, 1(4), 4-23.
  • Autio, O., Soobik, M., Thorsteinsson, G., & Olafsson, B. (2015). The development of craft and technology education curriculums and students’ attitudes towards technology in Finland, Estonia and Iceland. International Journal of Contemporary Educational Research, 2(1), 22-34.
  • Avcı, U., & Seferoglu, S. S. (2011). Teackers’ burnout in the information age: use of technology and possible actions in preventing burnout. Mediterranean Journal of Educational Research, 9, 13-26.
  • 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 (pp. 1-25).
  • Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67-69.
  • Çetinkaya, L., & Keser, H. (2014). Problems faced by teachers and students in terms of using tablet pcs and suggested solutions related to these problems. Anadolu Journal of Educational Sciences International, 4(1), 13-34.
  • Erdem, M., & Akkoyunlu, B. (2002). A study of scope of primary school social studies project based learning with team carried with 5th grade students. Elementary Education Online, 1(1), 2-11.
  • Güney, C., & Çelik, R. N. (2009). Spatial informatics and spatial governance. 12. Turkey Scientific and Technical Mapping Conference, 11-15 May 2009, Ankara.
  • Jones, A., Buntting, C., & deVries, M. J. (2013). The developing field of technology education: A review to look forward. International Journal of Technology and Design Education, 23(2), 191-212.
  • Karasar, Ş. (2004). New communication technologies in education- internet and virtual higher education. The Turkish Online Journal of Educational Technology–TOJET, 3(4), 117-125.
  • Kazimoglu, C., Kiernan, M., Bacon, L., & MacKinnon, L. (2012). Learning programming at the computational thinking level via digital game-play. Procedia Computer Science, 9, 522-531.
  • Korkmaz, Ö., Çakır, R., Özden, M. Y., Oluk, A., & Sarıoğlu, S. (2015). Investigation of individuals’ computational thinking skills in terms of different variables. Ondokuz Mayis University Journal of Faculty of Education, 34(2), 68-87.
  • Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2015). Computational thinking levels scale (ctls) adaptation for secondary school level. Gazi Journal of Education Sciences, 1(2), 143-162.
  • Menzi, N., Önal, N., & Çalışkan, E. (2012). Investigating educational researchers' views of using mobile technologies for educational purposes based on technology acceptance model. Ege Journal of Education, 13(1), 40-55.
  • Mertoğlu, H., & Öztuna, A. (2004). Are there a relationship between the usage of technology by individuals and the problem solving skills?. TOJET: The Turkish Online Journal of Educational Technology, 3(1), 83-92.
  • Morelli, R., De Lanerolle, T., Lake, P., Limardo, N., Tamotsu, E., & Uche, C. (2011). Can android app inventor bring computational thinking to k-12. In Proc. 42nd ACM Technical Symposium On Computer Science Education (SIGCSE'11), 1-6.
  • Moursund, D. G. (2006). Computational thinking and math maturity: Improving math education in K-8 schools. Eugene, OR: Information Age Education.
  • Özkök, A. (2005). Effects of interdisciplinary creative problem solving teaching program on creative problem solving skills. Hacettepe University Journal of Education, 28(28), 159-167.
  • Qiu, R. G. (2009). Computational thinking of service systems: Dynamics and adaptiveness modeling. Service Science, 1(1), 42-55.
  • Ritz, J. M., & Martin, G. (2013). Research needs for technology education: An international perspective. International Journal of Technology and Design Education, 23(3), 767-783.
  • Rohaan, E. J., Taconis, R., & Jochems, W. M. (2012). Analysing teacher knowledge for technology education in primary schools. International Journal of Technology and Design Education, 22(3), 271-280.
  • Rong-sheng, D. (2009). Computational thinking and introduction to computer science [J]. Computer Science, 4, 015.
  • Sadi, S., Şekerci, A. R., Kurban, B., Topu, F. B., Demirel, T., Tosun, C., Demirci, T., & Göktaş, Y. (2008). Effective technology use in teacher education: the views of faculty members and preservice teachers. International Journal of Informatics Technologies, 1(3), 43-49.
  • Saracaloğlu, A. S., Serin, O., & Bozkurt, N. (2001). The relationship between the problem solving skills and the achievement of graduate students of the graduate school of educational sciences. Marmara University Journal of Educational Sciences, 14, 121-134.
  • Seferoğlu, S. S. (2009). Technology usage and managers perspectives in primary schools. Academic Computing’09 – 11-13 February 2009 Harran University, Şanlıurfa.
  • Seiter, L., & Foreman, B. (2013). Modeling the learning progressions of computational thinking of primary grade students. In Proceedings Of The Ninth Annual İnternational ACM Conference On International Computing Education Research, 59-66.
  • 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.
  • Tian-long, D. (2009). Computational Thinking and Methodology of Computer Science and Technology (J). Computer Science, 1, 005.
  • Tor, H., & Erden, O. (2004). A research about primary school students level who takes advantage from information technology. The Turkish Online Journal of Educational Technology, 3(1), 120-130.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
  • Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725.
  • Yadav, A., Zhou, N., Mayfield, C., Hambrusch, S., & Korb, J. T. (2011). Introducing computational thinking in education courses. In Proceedings of the 42nd ACM Technical Symposium on Computer Science Education, 465-470.
  • 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 (TOCE), 14(1), 5.
  • Yaşar, S., Sert, G., Demir., Ö., & Yurdugül, H. (2013). To investigate the correlation secondary schools and high schools students’ attitudes towards the computer and self-learning with technology. 1st International Instructional Technologies and Teacher Education Symposium, 152-161.
  • Yiğit, Y. G., Zayim, N., & Yıldırım, S. (2002). Administrative and instructional use of technology in higher education: a case study. Education and Science, 27(124), 42-51.

Examination of the Computational Thinking Skills of Students

Year 2017, Volume: 2 Issue: 1, 11 - 19, 01.01.2017

Abstract

Computational thinking is generally considered as a kind of analytical way of thinking. According to Wings 2008 it shares with mathematical thinking, engineering thinking and scientific thinking in the general ways in which we may use for solving a problem, designing and evaluating complex systems or understanding computability and intelligence as well as the mind and human behaviour. It is generally accepted important that like high order thinking skills the analytical way of thinking should be taught to the children at very early ages. The aim of this study is to investigate the computational thinking skills of secondary school students in terms of different variables. The study group of the research is 160 secondary school students who continue their education at different levels in Konya. The “Computational Thinking Skills Scale” which has been developed by Korkmaz, Çakır and Özden 2015 used for data collection. The scale includes 22 items and it is a 5 point likert type scale. The Cronbach Alpha reliability of the scale has been calculated as 0.80 and it has been found to be valid to measure the computational skills levels of the secondary school students as a result of the analysis. As a result of this research, the computational thinking skill levels of participants differ meaningfully in terms of their class levels, do not differ meaningfully in terms of their genders, do not differ meaningfully in terms of their weekly internet usage durations, do not differ meaningfully in terms of their mobile device usage competence situations, differ meaningfully in terms of their mobile Technologies possession durations.

References

  • Akkoyunlu, B., Soylu, M.Y. & Caglar, M. (2010). A study on developing “digital empowerment scale” for university students. H. U. Journal of Education, 39, 10-19.
  • Aksoy, H. H. (2003). A analysis of concerning the use of technology and effects. Education, Science and Society, 1(4), 4-23.
  • Autio, O., Soobik, M., Thorsteinsson, G., & Olafsson, B. (2015). The development of craft and technology education curriculums and students’ attitudes towards technology in Finland, Estonia and Iceland. International Journal of Contemporary Educational Research, 2(1), 22-34.
  • Avcı, U., & Seferoglu, S. S. (2011). Teackers’ burnout in the information age: use of technology and possible actions in preventing burnout. Mediterranean Journal of Educational Research, 9, 13-26.
  • 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 (pp. 1-25).
  • Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67-69.
  • Çetinkaya, L., & Keser, H. (2014). Problems faced by teachers and students in terms of using tablet pcs and suggested solutions related to these problems. Anadolu Journal of Educational Sciences International, 4(1), 13-34.
  • Erdem, M., & Akkoyunlu, B. (2002). A study of scope of primary school social studies project based learning with team carried with 5th grade students. Elementary Education Online, 1(1), 2-11.
  • Güney, C., & Çelik, R. N. (2009). Spatial informatics and spatial governance. 12. Turkey Scientific and Technical Mapping Conference, 11-15 May 2009, Ankara.
  • Jones, A., Buntting, C., & deVries, M. J. (2013). The developing field of technology education: A review to look forward. International Journal of Technology and Design Education, 23(2), 191-212.
  • Karasar, Ş. (2004). New communication technologies in education- internet and virtual higher education. The Turkish Online Journal of Educational Technology–TOJET, 3(4), 117-125.
  • Kazimoglu, C., Kiernan, M., Bacon, L., & MacKinnon, L. (2012). Learning programming at the computational thinking level via digital game-play. Procedia Computer Science, 9, 522-531.
  • Korkmaz, Ö., Çakır, R., Özden, M. Y., Oluk, A., & Sarıoğlu, S. (2015). Investigation of individuals’ computational thinking skills in terms of different variables. Ondokuz Mayis University Journal of Faculty of Education, 34(2), 68-87.
  • Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2015). Computational thinking levels scale (ctls) adaptation for secondary school level. Gazi Journal of Education Sciences, 1(2), 143-162.
  • Menzi, N., Önal, N., & Çalışkan, E. (2012). Investigating educational researchers' views of using mobile technologies for educational purposes based on technology acceptance model. Ege Journal of Education, 13(1), 40-55.
  • Mertoğlu, H., & Öztuna, A. (2004). Are there a relationship between the usage of technology by individuals and the problem solving skills?. TOJET: The Turkish Online Journal of Educational Technology, 3(1), 83-92.
  • Morelli, R., De Lanerolle, T., Lake, P., Limardo, N., Tamotsu, E., & Uche, C. (2011). Can android app inventor bring computational thinking to k-12. In Proc. 42nd ACM Technical Symposium On Computer Science Education (SIGCSE'11), 1-6.
  • Moursund, D. G. (2006). Computational thinking and math maturity: Improving math education in K-8 schools. Eugene, OR: Information Age Education.
  • Özkök, A. (2005). Effects of interdisciplinary creative problem solving teaching program on creative problem solving skills. Hacettepe University Journal of Education, 28(28), 159-167.
  • Qiu, R. G. (2009). Computational thinking of service systems: Dynamics and adaptiveness modeling. Service Science, 1(1), 42-55.
  • Ritz, J. M., & Martin, G. (2013). Research needs for technology education: An international perspective. International Journal of Technology and Design Education, 23(3), 767-783.
  • Rohaan, E. J., Taconis, R., & Jochems, W. M. (2012). Analysing teacher knowledge for technology education in primary schools. International Journal of Technology and Design Education, 22(3), 271-280.
  • Rong-sheng, D. (2009). Computational thinking and introduction to computer science [J]. Computer Science, 4, 015.
  • Sadi, S., Şekerci, A. R., Kurban, B., Topu, F. B., Demirel, T., Tosun, C., Demirci, T., & Göktaş, Y. (2008). Effective technology use in teacher education: the views of faculty members and preservice teachers. International Journal of Informatics Technologies, 1(3), 43-49.
  • Saracaloğlu, A. S., Serin, O., & Bozkurt, N. (2001). The relationship between the problem solving skills and the achievement of graduate students of the graduate school of educational sciences. Marmara University Journal of Educational Sciences, 14, 121-134.
  • Seferoğlu, S. S. (2009). Technology usage and managers perspectives in primary schools. Academic Computing’09 – 11-13 February 2009 Harran University, Şanlıurfa.
  • Seiter, L., & Foreman, B. (2013). Modeling the learning progressions of computational thinking of primary grade students. In Proceedings Of The Ninth Annual İnternational ACM Conference On International Computing Education Research, 59-66.
  • 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.
  • Tian-long, D. (2009). Computational Thinking and Methodology of Computer Science and Technology (J). Computer Science, 1, 005.
  • Tor, H., & Erden, O. (2004). A research about primary school students level who takes advantage from information technology. The Turkish Online Journal of Educational Technology, 3(1), 120-130.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
  • Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725.
  • Yadav, A., Zhou, N., Mayfield, C., Hambrusch, S., & Korb, J. T. (2011). Introducing computational thinking in education courses. In Proceedings of the 42nd ACM Technical Symposium on Computer Science Education, 465-470.
  • 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 (TOCE), 14(1), 5.
  • Yaşar, S., Sert, G., Demir., Ö., & Yurdugül, H. (2013). To investigate the correlation secondary schools and high schools students’ attitudes towards the computer and self-learning with technology. 1st International Instructional Technologies and Teacher Education Symposium, 152-161.
  • Yiğit, Y. G., Zayim, N., & Yıldırım, S. (2002). Administrative and instructional use of technology in higher education: a case study. Education and Science, 27(124), 42-51.
There are 36 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Agah Tugrul Korucu This is me

Abdullah Tarık Gencturk This is me

Mustafa Mucahit Gundogdu This is me

Publication Date January 1, 2017
Published in Issue Year 2017 Volume: 2 Issue: 1

Cite

APA Korucu, A. T., Gencturk, A. T., & Gundogdu, M. M. (2017). Examination of the Computational Thinking Skills of Students. Journal of Learning and Teaching in Digital Age, 2(1), 11-19.

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