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Yıl 2023, Cilt: 6 Sayı: 1, 48 - 81, 31.01.2023
https://doi.org/10.31681/jetol.1201010

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Research trends in programming education: A systematic review of the articles published between 2012-2020

Yıl 2023, Cilt: 6 Sayı: 1, 48 - 81, 31.01.2023
https://doi.org/10.31681/jetol.1201010

Öz

This study examines the methodological dimensions of programming education articles published in educational sciences journals indexed in SSCI by exploring their general trends. To do this, 162 articles published between January 2012 and February 2020 in 30 international journals indexed in SSCI were analyzed with a systematic review method using the "Educational Technology Publication Classification Form" as a data collection tool. The results revealed that most of the studies in this field were conducted in the United States and Turkiye. The number of these studies has increased since 2015, and those studies were carried out using quantitative research methodology. Mostly questionnaires and achievement tests were used as a data collection tool, a convenience sampling method was used, and descriptive analyses were adopted to analyze the data. As a result, the articles examined in this study showed that programming education positively contributes to learners' learning and success levels and the development of their computational thinking skills. We believe that these results will shed light on future studies related to programming education.

Kaynakça

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  • Guzdial, M. (2016). Bridging Computer Science to US Schools. Communications of the ACM, 59(5), 24-25. https://doi.org/10.1145/2898963
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  • Kalelioglu, F., & Sentance, S. (2020). Teaching with physical computing in school: the case of the micro: bit. Education and Information Technologies, 25(4), 2577-2603. https://doi.org/10.1007/s10639-019-10080-8
  • Kalelioğlu, F., Gülbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583-596.
  • Hao, Q., Smith IV, D. H., Iriumi, N., Tsikerdekis, M., & Ko, A. J. (2019). A systematic investigation of replications in computing education research. ACM Transactions on Computing Education (TOCE), 19(4), 1-18. https://doi.org/10.1145/3345328
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  • Hughes‐Roberts, T., Brown, D., Standen, P., Desideri, L., Negrini, M., Rouame, A., & Hasson, C. (2019). Examining engagement and achievement in learners with individual needs through robotic‐based teaching sessions. British journal of educational technology, 50(5), 2736-2750. https://doi.org/10.1111/bjet.12722
  • Hundt, C., Schlarb, M., & Schmidt, B. (2017). SAUCE: A web application for interactive teaching and learning of parallel programming. Journal of Parallel and Distributed Computing, 105, 163-173. https://doi.org/10.1016/j.jpdc.2016.12.028
  • Ioannou, A., & Makridou, E. (2018). Exploring the potentials of educational robotics in the development of computational thinking: A summary of current research and practical proposal for future work. Education and Information Technologies, 23(6), 2531-2544. https://doi.org/10.1007/s10639-018-9729-z
  • Kanika, Chakraverty, S., & Chakraborty, P. (2020). Tools and techniques for teaching computer programming: A review. Journal of Educational Technology Systems, 49(2), 170-198. https://doi.org/10.1177/0047239520926971
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  • Lindberg, R. S., Laine, T. H., & Haaranen, L. (2019). Gamifying programming education in K‐12: A review of programming curricula in seven countries and programming games. British Journal of Educational Technology, 50(4), 1979-1995. https://doi.org/10.1111/bjet.12685
  • Liu, Z., Zhi, R., Hicks, A., & Barnes, T. (2017). Understanding problem solving behavior of 6–8 graders in a debugging game. Computer Science Education, 27(1), 1-29. https://doi.org/10.1080/08993408.2017.1308651
  • Lockwood, J., & Mooney, A. (2017). Computational Thinking in Education: Where does it fit? A systematic literary review. International Journal of Computer Science Education in Schools.(2) 1, 1-20
  • Lui, D., Kafai, Y., Litts, B., Walker, J., & Widman, S. (2020). Pair physical computing: high school students’ practices and perceptions of collaborative coding and crafting with electronic textiles. Computer Science Education, 30(1), 72-101.https://doi.org/10.1080/08993408.2019.1682378
  • Lukkarinen, A., Malmi, L., & Haaranen, L. (2021). Event-driven Programming in Programming Education: A Mapping Review. ACM Transactions on Computing Education (TOCE), 21(1), 1-31. https://doi.org/10.1145/3423956
  • Luxton-Reilly, A., Albluwi, I., Becker, B. A., Giannakos, M., Kumar, A. N., Ott, L. & Szabo, C. (2018, July). Introductory programming: a systematic literature review. In Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (pp. 55-106). https://doi.org/10.1145/3293881.3295779
  • Maia, M. C. O., Serey, D., & Figueiredo, J. (2017, October). Learning styles in programming education: A systematic mapping study. In 2017 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE. 10.1109/FIE.2017.8190465
  • Mason, R., & Cooper, G. (2013). Mindstorms robots and the application of cognitive load theory in introductory programming. Computer Science Education, 23(4), 296-314. https://doi.org/10.1080/08993408.2013.847152
  • McMillan, J.H., Schumacher, S. (2001). Research in education: a conceptual introduction. (5th Ed.). New York: Addison Wesley Longman Inc. 660.
  • Nikula, U., Gotel, O., & Kasurinen, J. (2011). A motivation guided holistic rehabilitation of the first programming course. ACM Transactions on Computing Education (TOCE), 11(4), 1-38. https://doi.org/10.1145/2048931.2048935
  • Noone, M., & Mooney, A. (2018). Visual and textual programming languages: a systematic review of the literature. Journal of Computers in Education, 5(2), 149-174. https://doi.org/10.1007/s40692-018-0101-5
  • Omer, U., Farooq, M. S., & Abid, A. (2021). Introductory programming course: review and future implications. PeerJ Computer Science, 7, 1-33. https://doi.org/10.7717/peerj-cs.647
  • Othman, M., &, Zain, N. (2015). Online collaboration for programming: Assessing students’ cognitive abilities. Turkish Online Journal of Distance Education, 16(4), 84-97. https://doi.org/10.17718/tojde.88618
  • Papamitsiou, Z., Giannakos, M., Simon, & Luxton-Reilly, A. (2020, August). Computing education research landscape through an analysis of keywords. In Proceedings of the 2020 ACM Conference on International Computing Education Research (pp. 102-112). https://doi.org/10.1145/3372782.3406276
  • Papastergiou, M. (2009). Digital game-based learning in high school computer science education: Impact on educational effectiveness and student motivation. Computers & education, 52(1), 1-12. https://doi.org/10.1016/j.compedu.2008.06.004
  • Peng, Y. C., & Wang, T. I. (2019, December 2-5). The Investigation on Creative Thinking into Projected-Base Programming Course for College Students. In International Conference on Innovative Technologies and Learning (pp. 713-725). Springer, Cham. https://10.1007/978-3-030-35343-8
  • Petticrew, M., & Roberts, H. (2008). Systematic reviews in the social sciences: A practical guide. John Wiley & Sons.
  • Popat, S., & Starkey, L. (2019). Learning to code or coding to learn? A systematic review. Computers & Education, 128, 365-376. https://doi.org/10.1016/j.compedu.2018.10.005
  • Robins, A., Rountree, J., & Rountree, N. (2003). Learning and teaching programming: A review and discussion. Computer science education, 13(2), 137-172. https://doi.org/10.1076/csed.13.2.137.14200
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  • Sanders, K., Sheard, J., Becker, B. A., Eckerdal, A., & Hamouda, S. (2019, July). Inferential statistics in computing education research: A methodological review. In Proceedings of the 2019 ACM Conference on International Computing Education Research (pp. 177-185). https://doi.org/10.1145/3291279.3339408
  • Santos, S. C., Tedesco, P. A., Borba, M., & Brito, M. (2020). Innovative approaches in teaching programming: A systematic literature review. In Proceedings of the 12th International Conference on Computer Supported Education (Vol. 1, pp. 205-214).
  • Saini, J. R., & Chomal, V. S. (2017). Use of Analytical Hierarchy Process for Selection of Elective Subjects by Pre-Final Year Students of Computer Science. International Journal on Recent and Innovation Trends in Computing and Communication, 5(5), 1196-1202.
  • Saqr, M., Ng, K., Oyelere, S. S., & Tedre, M. (2021). People, ideas, milestones: a scientometric study of computational thinking. ACM Transactions on Computing Education (TOCE), 21(3), 1-17. https://doi.org/10.1145/3445984
  • Scaico, P. D., Scaico, A., & de Queiroz, R. J. B. (2018, October). An Initial Analysis of the Research on Interest and Introductory Programming: A Systematic Review of this Literature. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-9). IEEE. 10.1109/FIE.2018.8659254
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  • Webb, M. E., Bell, T., Davis, N., Katz, Y. J., Fluck, A., Sysło, M. M., & Brodnik, A. (2018). Tensions in specifying computing curricula for K-12: Towards a principled approach for objectives. IT-Information Technology, 60(2), 59-68. https://doi.org/10.1515/itit-2017-0017
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  • Qian, Y., & Lehman, J. (2017). Students’ misconceptions and other difficulties in introductory programming: A literature review. ACM Transactions on Computing Education (TOCE), 18(1), 1-24. https://doi.org/10.1145/3077618
  • Qian, Y., Hambrusch, S., Yadav, A., Gretter, S., & Li, Y. (2020). Teachers’ perceptions of student misconceptions in introductory programming. Journal of Educational Computing Research, 58(2), 364-397. https://doi.org/10.1177/0735633119845413
  • Yang, T. C., Yang, S. J., & Hwang, G. J. (2014, July 7-10). Development of an interactive test system for students' improving learning outcomes in a computer programming course. In 2014 IEEE 14th International Conference on Advanced Learning Technologies (pp. 637-639). IEEE. https://doi.org/10.1109/ICALT.2014.186
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  • Yu, J., & Roque, R. (2019). A review of computational toys and kits for young children. International Journal of Child-Computer Interaction, 21, 17-36. https://doi.org/10.1016/j.ijcci.2019.04.001
Toplam 98 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Eğitim Üzerine Çalışmalar
Bölüm Makaleler
Yazarlar

Atajan Rovshenov 0000-0001-9189-3438

Fırat Sarsar 0000-0002-3611-8137

Yayımlanma Tarihi 31 Ocak 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 6 Sayı: 1

Kaynak Göster

APA Rovshenov, A., & Sarsar, F. (2023). Research trends in programming education: A systematic review of the articles published between 2012-2020. Journal of Educational Technology and Online Learning, 6(1), 48-81. https://doi.org/10.31681/jetol.1201010


22029

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