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PISA 2018 Verilerine Göre Kore ve Türkiye'deki Öğrencilerin Matematik Başarısı Arasındaki Farkı Açıklayan Olası Faktörler

Year 2024, Volume: 12 Issue: 1, 157 - 186, 29.03.2024
https://doi.org/10.46778/goputeb.1346568

Abstract

Bu çalışmanın amacı, Kore ve Türkiye'deki öğrencilerin matematik başarısını etkileyen potansiyel faktörler (bir okul haftasında matematik dersleri sırasında dijital cihazların kullanım süresi, algılanan geri bildirim ve öğrencilerin rekabetçiliği) arasındaki farkı incelemektir. Çalışmanın örneklemini Kore ve Türkiye'de 7. sınıfta (ya da daha üst sınıfta) okuyan 15 yaşındaki 13440 öğrenci oluşturmaktadır. Çalışma PISA 2018 verilerinin kullanıldığı nedensel karşılaştırmalı bir araştırmadır. Kore ve Türkiye'deki öğrenciler bağımsız örneklem t-testleri kullanılarak ilgili değişkenlere göre karşılaştırılmıştır. Çalışmanın sonuçlarında her kategoride Türkiye ve Kore arasında anlamlı bir fark bulunmuştur. Türkiye'deki öğrencilerin Kore'deki öğrencilere göre bir okul haftasında matematik derslerinde dijital cihazlarla geçirdikleri sürenin daha fazla olduğu ve daha rekabetçi oldukları tespit edilmiştir. Bununla birlikte, sonuçlar Kore'deki öğrencilerin Türkiye'deki öğrencilere göre daha fazla geri bildirim algıladığını göstermiştir. Mevcut çalışmada aynı zamanda elde edilen bulgulara ve literatüre dayalı olarak çıkarım ve öneriler ele alınmıştır.

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Potential Factors That Explain the Difference Between Mathematics Achievement of Students in Korea and Turkey According to PISA 2018

Year 2024, Volume: 12 Issue: 1, 157 - 186, 29.03.2024
https://doi.org/10.46778/goputeb.1346568

Abstract

The purpose of this study is to examine the difference between the potential factors (time spent using digital devices during mathematics lessons in a school week, perceived feedback, and competitiveness of students) influencing mathematics achievement of students in Korea and Turkey. The study sample was comprised of 13440 students who were 15 years old and in grade 7 (or above) in Korea and Turkey. As the data were obtained from the PISA 2018 dataset to compare independent variables at one single time, the design of the study was causal-comparative research. Students in Korea and Turkey were compared according to the variables by using independent sample t-tests. There was a significant difference between Turkey and Korea in each category. It was found that the time spent using digital devices during mathematics lessons in a school week of students in Turkey was higher than that of students in Korea. Students in Turkey were more competitive than those in Korea. However, the results showed that students in Korea perceived more feedback than students in Turkey. The current study also discusses the implications and recommendations based on the findings and literature.

References

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  • Arıkan, S. (2014). A regression model with a new tool: IDB analyzer for identifying factors predicting mathematics performance using PISA 2012 indices. US-China Education Review, 4(10). https://doi.org/10.17265/2161-623x/2014.10a.004
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  • Arıkan, S., Van De Vijver, F. J. R., & Yağmur, K. (2017). PISA mathematics and reading performance differences of mainstream European and Turkish immigrant students. Educational Assessment, Evaluation and Accountability, 29(3), 229–246. https://doi.org/10.1007/s11092-017-9260-6
  • Atmacasoy, A. (2017). K-12 Education in Germany: Curriculum and PISA 2015. https://eric.ed.gov/?id=ED577138
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  • Baek, Y., Jung, J., & Kim, B. (2008). What makes teachers use technology in the classroom? Exploring the factors affecting facilitation of technology with a Korean sample. Computers & Education, 50(1), 224–234. https://doi.org/10.1016/j.compedu.2006.05.002
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  • Baumann, C., & Winzar, H. (2014). The role of secondary education in explaining competitiveness. Asia Pacific Journal of Education, 36(1), 13–30. https://doi.org/10.1080/02188791.2014.924387
  • Bulut, O., & Cutumisu, M. (2018). When technology does not add up: ICT use negatively predicts mathematics and science achievement for Finnish and Turkish students in PISA 2012. Journal of Educational Multimedia and Hypermedia, 27(1), 25-42.
  • Bütüner, S. Ö., & Güler, M. (2017). Gerçeklerle yüzleşme: Türkiye’nin TIMSS matematik başarısı üzerine bir çalışma [Facing the Reality: A Study on TIMSS Mathematics Achievement of Turkey]. Bayburt Eğitim Fakültesi Dergisi, 12(23), 161–184.
  • Carvalho, C., Santos, J., Conboy, J., & Martins, D. (2014). Teachers’ feedback: Exploring differences in students’ perceptions. Procedia-Social and Behavioral Sciences, 159, 169-173.
  • Cheng-Huan C, Chiung-Hui C (2016) Employing intergroup competition in multitouch desing-based learning to foster student engagement, learning achievemet, and creativity. Comput Educ 103:99–113. https://doi.org/10.1016/j.compedu.2016.09.007
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
  • Cheung, A., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis. Educational Research Review, 9, 88–113. https://doi.org/10.1016/j.edurev.2013.01.001
  • Delen, E., & Bulut, O. (2011). The relationship between students’ exposure to technology and their achievement in science and math. Turkish Online Journal of Educational Technology, 10(3), 311–317.
  • Delice, A., & Karaaslan, G. (2015). Dinamik geometri yazılımı etkinliklerinin öğrenci performansları bağlamında i̇ncelenmesi: Analitik düzlemde doğru denklemleri [Investigation of the effects of the dynamic geometry software tasks on students’ performance: Lineer equations]. Marmara Üniversitesi Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi, 41(41), 35. https://doi.org/10.15285/ebd.42152
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  • Ding, H., & Homer, M. (2020). Interpreting mathematics performance in PISA: Taking account of reading performance. International Journal of Educational Research, 102, 101566. https://doi.org/10.1016/j.ijer.2020.101566
  • Eickelmann, B., Gerick, J., & Koop, C. (2017). ICT use in mathematics lessons and the mathematics achievement of secondary school students by international comparison: Which role do school level factors play? Education and Information Technologies, 22(4), 1527–1551. https://doi.org/10.1007/s10639-016-9498-5
  • Ekici, S., & Yılmaz, B. (2013). FATİH projesi üzerine bir değerlendirme [An evaluation of FATIH project]. Türk Kütüphaneciliği, 27(2), 317–339.
  • Eyyam, R., & Yaratan, H. (2014). Impact of use of technology in mathematics lessons on student achievement and attitudes. Social Behavior and Personality, 42(1), 31S-42S. https://doi.org/10.2224/sbp.2014.42.0.s31
  • Ferguson, P. (2011). Student perceptions of quality feedback in teacher education. Assessment & evaluation in higher education, 36(1), 51-62. https://doi.org/10.1080/02602930903197883
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2018). How to Design and Evaluate Research in education. McGraw-Hill Education.
  • Fyfe, E. R., Rittle-Johnson, B., & DeCaro, M. S. (2012). The effects of feedback during exploratory mathematics problem solving: Prior knowledge matters. Journal of Educational Psychology, 104(4), 1094.
  • Gambari, A. I., Shittu, A. T., Daramola, F. O., & James, M. (2018). Effects of video-based cooperative, competitive and individualized instructional strategies on the performance of senior secondary schools students in geometry. MOJES: Malaysian Online Journal of Educational Sciences, 4(4), 31-47.
  • Geesa, R. L., Izci, B., Song, H. S., & Chen, S. (2019). Exploring factors of home resources and attitudes towards mathematics in mathematics achievement in South Korea, Turkey, and the United States. Eurasia Journal of Mathematics, Science and Technology Education, 15(9). https://doi.org/10.29333/ejmste/108487
  • Gutiérrez-Braojos, C., Montejo-Gamez, J., Marin-Jimenez, A., & Campaña, J. (2019). Hybrid learning environment: Collaborative or competitive learning?. Virtual Reality, 23, 411-423. https://doi.org/10.1007/s10055-018-0358-z
  • Guzeller, C. O., & Akin, A. (2014). Relationship between ICT variables and mathematics achievement based on PISA 2006 database: International evidence. Turkish Online Journal of Educational Technology-TOJET, 13(1), 184-192.
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There are 79 citations in total.

Details

Primary Language English
Subjects Mathematics Education
Journal Section Articles
Authors

Begüm Öztorun 0000-0002-3284-5839

Feyza Karagöz 0009-0004-5411-7957

Sevda Yerdelen-damar 0000-0002-5665-5140

Publication Date March 29, 2024
Submission Date August 20, 2023
Acceptance Date December 13, 2023
Published in Issue Year 2024 Volume: 12 Issue: 1

Cite

APA Öztorun, B., Karagöz, F., & Yerdelen-damar, S. (2024). Potential Factors That Explain the Difference Between Mathematics Achievement of Students in Korea and Turkey According to PISA 2018. International Journal of Turkish Education Sciences, 12(1), 157-186. https://doi.org/10.46778/goputeb.1346568