- Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K-6 Computational Thinking Curriculum Framework: Implications for Teacher Knowledge. Educational Technology & Society, 19 (3), 47–57. [Google Scholar]
- Atılgan, H., Kan, A. ve Doğan, N. (2007). Eğitimde Ölçme ve Değerlendirme, Geliştirilmiş İkinci Baskı. Anı Yayıncılık. Ankara. [Google Scholar]
- Atmatzidou, S. & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670. [Google Scholar]
- Barr, D; Harrison, J; Conery, L. (2011). Computational Thinking: A Digital Age Skill for Everyone. Learning & Leading with Technology, v38 n6 p20-23 Mar-Apr 2011 [Google Scholar]
- Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An industry 4.0 perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1), 37-44. [Google Scholar]
- Csernoch, M., Biró, P., Máth, J. & Abari, K. (2015) Testing Algorithmic Skills in Traditional and Non-Traditional Programming Environments. Informatics in Education, 14(2), 175–197, DOI: 10.15388/infedu.2015.11 [Google Scholar]
- Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399-412. [Google Scholar]
- Fields, D. A., Searle, K. A., Kafai, Y. B., & Min, H. S. (2012). Debuggems to assess student learning in e-textiles. In Proceedings of the 43rd SIGCSE Technical Symposium on Computer Science Education. New York, NY: ACM Press. [Google Scholar]
- Grover, S. & Pea, R. (2013). Computational Thinking in K–12: A Review of the State of the Field, Educational Researcher, 42(1), pp. 38–43 DOI: 10.3102/0013189X12463051 [Google Scholar]
- Han Koh, K., Basawapatna, A., Bennett V., & Repenning, A. (2010). Towards the automatic ecognition of computational thinking for adaptive visual language learning. In Proceedings of the 2010 Conference on Visual Languages and Human Centric Computing (VL/HCC 2010) (pp. 59–66). Madrid, Spain: IEEE Computer. [Google Scholar]
- Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M. & Reese, G. (2015). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education 82, 263-279. [Google Scholar]
- Jun, S., Han, S. Kim, H. & Lee, W. (2014). Assessing the computational literacy of elementary students on a national level in Korea Educational Assessment, Evaluation and Accountability, 26 (4), 319–332. DOI: 10.1007/s11092-013-9185-7 [Google Scholar]
- Kalelioglu, F., Gülbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583. [Google Scholar]
- Kalelioğlu, F., & Gülbahar, Y. (2015). Bilge Kunduz: Uluslararası Enformatik Yarışması Pilot Uygulama Sonuçları. 9th International Computer & Instructional Technologies Symposium. Afyonkarahisar, Turkey, May 20-22, 2015. [Google Scholar]
- Kim, B., Kim, T & Kim, J (2013). Paper-And-Pencil Programming Strategy toward Computational Thinking For Non-Majors: Design Your Solution. J. Educational Computing Research, Vol. 49(4) 437-459. [Google Scholar]
- Korkmaz, Ö., Çakır, R., & Özden, M. Y. (2016). Bilgisayarca Düşünme Beceri Düzeyleri Ölçeğinin (BDBD) Ortaokul Düzeyine Uyarlanması. Gazi Eğitim Bilimleri Dergisi, 1(2), 143-162 [Google Scholar]
- Korkmaz, Ö., Çakır, R., Özden, M. Y., Oluk, A., & Sarıoğlu, S. (2015). Bireylerin Bilgisayarca Düşünme Becerilerinin Farklı Değişkenler Açısından İncelenmesi. Ondokuz Mayıs Üniversitesi Eğitim Fakültesi Dergisi, 34(2), 68-87. [Google Scholar]
- MEB, 2016. Bilgisyar bilimi dersi öğretim programı, kur 1 – kur 2, MEB, Ankara. [Google Scholar]
- Marshall, K. S. (2011). Assessing Computational Thinking Patterns. Presented at AERA 2011 Annual Meeting, New Orleans, LA [Google Scholar]
- Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. [Google Scholar]
- 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. [Google Scholar]
- Sanford, J. F., & Naidu, J. T. (2016). Computational thinking concepts for grade school. Contemporary Issues in Education Research (Online), 9(1), 23. [Google Scholar]
- Swaid, S. I. (2015). Bringing computational thinking to STEM education. Procedia Manufacturing, 3, 3657-3662. [Google Scholar]
- Webb, D.C., 2010 Troubleshooting assessment: an authentic problem solving activity for it education, Procedia - Social and Behavioral Sciences, Volume 9, World Conference on Learning, Teaching and Administration Papers, pp. 903-907. [Google Scholar]
- Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L. & Wilensky, U. (2016) Defining Computational Thinking for Mathematics and Science Classrooms. J Sci Educ Technol, 25: 127–147. DOI 10.1007/s10956-015-9581-5 [Google Scholar]
- Werner, L., Denner, J., Campe, S., & Kawamoto, D. C. (2012). The Fairy performance assessment: Measuring computational thinking in middle school. In Proceedings of the 43rd ACM Technical Symposium on Computer Science Education (SIGCSE ’12), 215-220. New York,NY: ACM. [Google Scholar]
- Wing, J. M. (2008). Computational thinking and thinking about computing. Phil. Trans. R. Soc. 366, 3717–3725 [Google Scholar]
- Yadav, A., Hong, H. & Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. TechTrends, 1-14 DOI 10.1007/s11528-016-0087-7 [Google Scholar]
- Yurdagül, H. (2006). The comparison of reliability coefficients in parallel, tau-equivalent, and congeneric measurements. Ankara University, Journal of Faculty of Educational Sciences, 39(1) [Google Scholar]
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