Research Article
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Year 2018, Volume: 9 Issue: 2, 131 - 153, 16.04.2018
https://doi.org/10.30935/cet.414798

Abstract

References

  • Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835. https://doi.org/10.1093/comjnl/bxs074
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  • 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? ACM Inroads, 2(1), 48–54. https://doi.org/10.1145/1929887.1929905
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  • Berland, M. & Wilensky, U. (2015). Comparing virtual and physical robotics environments for supporting complex systems and computational thinking. Journal of Science Education and Technology, 24(5), 628-647. https://doi.org/10.1007/s10956-015-9552-x
  • Bers, M. U. (2010). The TangibleK robotics program: Applied computational thinking for young children. Early Childhood Research & Practice, 12(2).
  • Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145-157. https://doi.org/10.1016/j.compedu.2013.10.020
  • Buyukozturk, S., Kilic Cakmak, E., Akgun, O. E., Karadeniz, S., & Demirel, F. (2009). Bilimsel araştirma yontemleri. Ankara: Pegem Akademi.
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  • Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage.
  • Creswell, J. W. & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). USA: Sage Publications.
  • Denner, J., Werner, L., Campe, S., & Ortiz, E. (2014). Pair programming: Under what conditions is it advantageous for middle school students? Journal of Research on Technology in Education, 46(3), 277-296. https://doi.org/10.1080/15391523.2014.888272
  • Denning, P. J. (2009). The profession of IT beyond computational thinking. Communications of The ACM, 52(6), 28-30. https://doi.org/10.1145/1516046.1516054
  • Denning, P. J. (2012). Reflections on a symposium on computation. The Computer Journal, 55(7), 799-802. https://doi.org/10.1093/comjnl/bxs064
  • DeSchryver, M. D. & Yadav, A. (2015). Creative and computational thinking in the context of new literacies: Working with teachers to scaffold complex technology-mediated approaches to teaching and learning. Journal of Technology and Teacher Education, 23(3), 411-431.
  • Espino Espino, E. E., & Gonzalez Gonzalez, C. S. (2015). A study on gender differences in the skills and educational strategies for the development of computational thinking. RED-Revista De Educacion A Distancia, (46).
  • Farris, A. V. & Sengupta, P. (2016). Democratizing children's computation: Learning computational science as aesthetic experience. Educational Theory, 66(1-2), 279-296. https://doi.org/10.1111/edth.12168
  • Flick, U. (2008). Designing qualitative research. London: Sage.
  • Fraenkel, J. R. & Wallen, N. (2000). How to design and evaluate research in education (4th ed.). New York: McGraw-Hill.
  • Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471-479.
  • Goktas, Y., Kucuk, S., Aydemir, M., Telli, E., Arpacik, O., Yildirim, G., & Reisoglu, I. (2012). Educational technology research trends in Turkey: A content analysis of the 2000-2009 decade. Educational Sciences: Theory and Practice, 12(1), 191-199.
  • Google for Education (2015). Exploring computational thinking. Retrieved on March 31, 2017, from https://edu.google.com/resources/programs/exploring-computational-thinking/
  • 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
  • Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199-237. https://doi.org/10.1080/08993408.2015.1033142
  • Guzdial, M. (2008). Education paving the way for computational thinking. Communications of The ACM, 51(8), 25-27. https://doi.org/10.1145/1378704.1378713
  • Haseski, H. İ., İlic, U., & Tugtekin, U. (2017). Computational thinking in educational digital games: An assessment tool proposal. In H. Ozcinar, G. Wong & H.T. Ozturk (Eds.), Teaching computational thinking in primary education (pp. 256-287). Hershey, PA: IGI Global.
  • Hew, K. F., Kale, U., & Kim, N. (2007). Past research in instructional technology: Results of a content analysis of empirical studies published in three prominent instructional technology journals from the year 2000 through 2004. Journal of Educational Computing Research, 36 (3), 269-300. https://doi.org/10.2190/K3P8-8164-L56J-33W4
  • Hranstinski, S. & Keller, C. (2007). An examination of research approaches that underlie research on educational technology: A review from 2000 to 2004. Journal of Educational Computing Research, 36 (2), 175-190. https://doi.org/10.2190/H16L-4662-6000-0446
  • Hwang, G. J. & Tsai, C. C. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4), E65-E70. https://doi.org/10.1111/j.1467-8535.2011.01183.x
  • Ioannidou, A., Repenning, A., & Webb, D. C. (2009). AgentCubes: Incremental 3D end-user development. Journal of Visual Languages & Computing, 20(4), 236-251. https://doi.org/10.1016/j.jvlc.2009.04.001
  • 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. https://doi.org/10.1016/j.compedu.2014.11.022
  • ISTE. (2016). CT leadership toolkit. Retrived on January 21, 2016, from http://www.iste.org/ docs/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4
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Publication Trends Over 10 Years of Computational Thinking Research

Year 2018, Volume: 9 Issue: 2, 131 - 153, 16.04.2018
https://doi.org/10.30935/cet.414798

Abstract

The current study aimed to review studies
on computational thinking (CT) indexed in Web of Science (WOS) and ERIC
databases. A thorough search in electronic databases revealed 96 studies on
computational thinking which were published between 2006 and 2016. Studies were
exposed to a quantitative content analysis through using an article control form
developed by the researchers. Studies were summarized under several themes
including the research purpose, design, methodology, sampling characteristics,
data analysis, and main findings. The findings were reported using descriptive
statistics to see the trends. It was observed that there was an increase in the
number of CT studies in recent years, and these were mainly conducted in the
field of computer sciences. In addition, CT studies were mostly published in journals
in the field of Education and Instructional Technologies. Theoretical paradigm
and literature review design were preferred more in previous studies. The most commonly
used sampling method was the purposive sampling. It was also revealed that
samples of previous CT studies were generally pre-college students. Written
data collection tools and quantitative analysis were mostly used in reviewed
papers. Findings mainly focused on CT skills. Based on current findings, recommendations
and implications for further researches were provided. 

References

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  • Akbulut, Y. & Cardak, C. S. (2012). Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011. Computers & Education, 58(2), 835-842. https://doi.org/10.1016/j.compedu.2011.10.008
  • Baker, M. J. (2003). Data collection– questionnaire design. The Marketing Review, 3(3), 343–370. https://doi.org/10.1362/146934703322383507
  • 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? ACM Inroads, 2(1), 48–54. https://doi.org/10.1145/1929887.1929905
  • Bauer, M.W. (2000). Classic content analysis: A review. In M.W. Bauer, & G. Gaskell (Eds.), Qualitative researching with text, image and sound: A practical handbook (pp. 131–151). London: Sage.
  • Berland, M. & Wilensky, U. (2015). Comparing virtual and physical robotics environments for supporting complex systems and computational thinking. Journal of Science Education and Technology, 24(5), 628-647. https://doi.org/10.1007/s10956-015-9552-x
  • Bers, M. U. (2010). The TangibleK robotics program: Applied computational thinking for young children. Early Childhood Research & Practice, 12(2).
  • Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145-157. https://doi.org/10.1016/j.compedu.2013.10.020
  • Buyukozturk, S., Kilic Cakmak, E., Akgun, O. E., Karadeniz, S., & Demirel, F. (2009). Bilimsel araştirma yontemleri. Ankara: Pegem Akademi.
  • Cecilia Martinez, M. & Emilia Echeveste, M. (2015). Primary and secondary school students' representation about computer sciences and their job. RED-Revista De Educacion A Distancia, (46).
  • Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage.
  • Creswell, J. W. & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). USA: Sage Publications.
  • Denner, J., Werner, L., Campe, S., & Ortiz, E. (2014). Pair programming: Under what conditions is it advantageous for middle school students? Journal of Research on Technology in Education, 46(3), 277-296. https://doi.org/10.1080/15391523.2014.888272
  • Denning, P. J. (2009). The profession of IT beyond computational thinking. Communications of The ACM, 52(6), 28-30. https://doi.org/10.1145/1516046.1516054
  • Denning, P. J. (2012). Reflections on a symposium on computation. The Computer Journal, 55(7), 799-802. https://doi.org/10.1093/comjnl/bxs064
  • DeSchryver, M. D. & Yadav, A. (2015). Creative and computational thinking in the context of new literacies: Working with teachers to scaffold complex technology-mediated approaches to teaching and learning. Journal of Technology and Teacher Education, 23(3), 411-431.
  • Espino Espino, E. E., & Gonzalez Gonzalez, C. S. (2015). A study on gender differences in the skills and educational strategies for the development of computational thinking. RED-Revista De Educacion A Distancia, (46).
  • Farris, A. V. & Sengupta, P. (2016). Democratizing children's computation: Learning computational science as aesthetic experience. Educational Theory, 66(1-2), 279-296. https://doi.org/10.1111/edth.12168
  • Flick, U. (2008). Designing qualitative research. London: Sage.
  • Fraenkel, J. R. & Wallen, N. (2000). How to design and evaluate research in education (4th ed.). New York: McGraw-Hill.
  • Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471-479.
  • Goktas, Y., Kucuk, S., Aydemir, M., Telli, E., Arpacik, O., Yildirim, G., & Reisoglu, I. (2012). Educational technology research trends in Turkey: A content analysis of the 2000-2009 decade. Educational Sciences: Theory and Practice, 12(1), 191-199.
  • Google for Education (2015). Exploring computational thinking. Retrieved on March 31, 2017, from https://edu.google.com/resources/programs/exploring-computational-thinking/
  • 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
  • Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199-237. https://doi.org/10.1080/08993408.2015.1033142
  • Guzdial, M. (2008). Education paving the way for computational thinking. Communications of The ACM, 51(8), 25-27. https://doi.org/10.1145/1378704.1378713
  • Haseski, H. İ., İlic, U., & Tugtekin, U. (2017). Computational thinking in educational digital games: An assessment tool proposal. In H. Ozcinar, G. Wong & H.T. Ozturk (Eds.), Teaching computational thinking in primary education (pp. 256-287). Hershey, PA: IGI Global.
  • Hew, K. F., Kale, U., & Kim, N. (2007). Past research in instructional technology: Results of a content analysis of empirical studies published in three prominent instructional technology journals from the year 2000 through 2004. Journal of Educational Computing Research, 36 (3), 269-300. https://doi.org/10.2190/K3P8-8164-L56J-33W4
  • Hranstinski, S. & Keller, C. (2007). An examination of research approaches that underlie research on educational technology: A review from 2000 to 2004. Journal of Educational Computing Research, 36 (2), 175-190. https://doi.org/10.2190/H16L-4662-6000-0446
  • Hwang, G. J. & Tsai, C. C. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4), E65-E70. https://doi.org/10.1111/j.1467-8535.2011.01183.x
  • Ioannidou, A., Repenning, A., & Webb, D. C. (2009). AgentCubes: Incremental 3D end-user development. Journal of Visual Languages & Computing, 20(4), 236-251. https://doi.org/10.1016/j.jvlc.2009.04.001
  • 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. https://doi.org/10.1016/j.compedu.2014.11.022
  • ISTE. (2016). CT leadership toolkit. Retrived on January 21, 2016, from http://www.iste.org/ docs/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4
  • ISTE and CSTA. (2011). Operational definition of computational thinking for K-12 education. Retrieved on March 25, 2016, from http://www.iste.org/docs/ct-documents/computational-thinking-operational-definition-flyer.pdf?sfvrsn=2
  • Jenkins, C. (2015). Poem generator: A comparative quantitative evaluation of a microworlds based learning approach for teaching English. International Journal of Education and Development using Information and Communication Technology, 11(2), 153.
  • 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. https://doi.org/10.1007/s11092-013-9185-7
  • Kafai, Y. B. & Burke, Q. (2013). Computer programming goes back to school. Phi Delta Kappan, 95(1), 61-65. https://doi.org/10.1177/003172171309500111
  • Kim, B., Kim, T., & Kim, J. (2013). Paper-and-pencil programming strategy toward computational thinking for non-majors: Design your solution. Journal of Educational Computing Research, 49(4), 437-459. https://doi.org/10.2190/EC.49.4.b
  • Kirk, J. & Miller, M. L. (1986). Reliability and validity in qualitative research. Sage.
  • Kucuk, S., Aydemir, M., Yildirim, G., Arpacik, O., & Goktas, Y. (2013). Educational technology research trends in Turkey from 1990 to 2011. Computers & Education, 68, 42-50. https://doi.org/10.1016/j.compedu.2013.04.016
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Details

Primary Language English
Journal Section Articles
Authors

Ulas Ilic

Halil İbrahim Haseski This is me

Ufuk Tugtekin This is me

Publication Date April 16, 2018
Published in Issue Year 2018 Volume: 9 Issue: 2

Cite

APA Ilic, U., Haseski, H. İ., & Tugtekin, U. (2018). Publication Trends Over 10 Years of Computational Thinking Research. Contemporary Educational Technology, 9(2), 131-153. https://doi.org/10.30935/cet.414798
AMA Ilic U, Haseski Hİ, Tugtekin U. Publication Trends Over 10 Years of Computational Thinking Research. Contemporary Educational Technology. April 2018;9(2):131-153. doi:10.30935/cet.414798
Chicago Ilic, Ulas, Halil İbrahim Haseski, and Ufuk Tugtekin. “Publication Trends Over 10 Years of Computational Thinking Research”. Contemporary Educational Technology 9, no. 2 (April 2018): 131-53. https://doi.org/10.30935/cet.414798.
EndNote Ilic U, Haseski Hİ, Tugtekin U (April 1, 2018) Publication Trends Over 10 Years of Computational Thinking Research. Contemporary Educational Technology 9 2 131–153.
IEEE U. Ilic, H. İ. Haseski, and U. Tugtekin, “Publication Trends Over 10 Years of Computational Thinking Research”, Contemporary Educational Technology, vol. 9, no. 2, pp. 131–153, 2018, doi: 10.30935/cet.414798.
ISNAD Ilic, Ulas et al. “Publication Trends Over 10 Years of Computational Thinking Research”. Contemporary Educational Technology 9/2 (April 2018), 131-153. https://doi.org/10.30935/cet.414798.
JAMA Ilic U, Haseski Hİ, Tugtekin U. Publication Trends Over 10 Years of Computational Thinking Research. Contemporary Educational Technology. 2018;9:131–153.
MLA Ilic, Ulas et al. “Publication Trends Over 10 Years of Computational Thinking Research”. Contemporary Educational Technology, vol. 9, no. 2, 2018, pp. 131-53, doi:10.30935/cet.414798.
Vancouver Ilic U, Haseski Hİ, Tugtekin U. Publication Trends Over 10 Years of Computational Thinking Research. Contemporary Educational Technology. 2018;9(2):131-53.