Computational Thinking Test (CTT) for Middle School Students

Kaan Batı

doi:https://doi.org/10.29329/mjer.2018.138.6

Orjinal Araştırma Makalesi | Akdeniz Eğitim Araştırmaları Dergisi 2018, Cil. 12(23) 89-101

Computational Thinking Test (CTT) for Middle School Students

Kaan Batı

ss. 89 - 101 | DOI: https://doi.org/10.29329/mjer.2018.138.6 | Makale No: MANU-1801-03-0001.R1

Yayın tarihi: Nisan 21, 2018 | Okunma Sayısı: 763 | İndirilme Sayısı: 1229

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Özet

The aim of this research is to develop a valid and reliable paper-pencil test (CTT) that can be used at eighth grade level and measures students' computational thinking skills. Within the scope of the study, the skills of the computational thinking defined in the literature were identified and then the problematic situations which could be measure these skills were established. CTT consists of 10 problem cases in total problem situations have been constructed in connection with subject areas of science and mathematics education programs. The test was sent to five field experts and they were asked to evaluate the construct validity and content validity. Incoming feedbacks were applied to 110 eighth-grade students from a state secondary school. Analysis results that CTT was a valid and reliable (McDonald’s ω = 0,779) test that could measure the computational thinking skills of 8th grade students.

Anahtar Kelimeler: computational thinking, computational thinking test

Bu makaleye nasıl atıf yapılır?

APA 6th edition
Bati, K. (2018). Computational Thinking Test (CTT) for Middle School Students. Akdeniz Eğitim Araştırmaları Dergisi, 12(23), 89-101. doi: 10.29329/mjer.2018.138.6

Harvard
Bati, K. (2018). Computational Thinking Test (CTT) for Middle School Students. Akdeniz Eğitim Araştırmaları Dergisi, 12(23), pp. 89-101.

Chicago 16th edition
Bati, Kaan (2018). "Computational Thinking Test (CTT) for Middle School Students". Akdeniz Eğitim Araştırmaları Dergisi 12 (23):89-101. doi:10.29329/mjer.2018.138.6.

Kaynakça

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]

Cilt 12 Sayı 23

Mart 2018

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