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Is economic and cultural context important in reading success? Examining the variables of student, school and country levels related to reading achievement

Year 2024, , 41 - 56, 28.06.2024
https://doi.org/10.31795/baunsobed.1438619

Abstract

In this study, it was aimed to examine the student, school and country factors affecting the reading achievement of fourth grade students. In this direction, student and school level variables were determined from the data in PIRLS 2021 and the data related to these variables were included in the analysis. In addition, GINI, which is related to the distribution of income of countries to individuals, the percentage of gross national product allocated to education (GNPDP) and the sub-dimensions related to education based on Hofstede's cultural dimension theory are also considered as country-level variables. As a result of the analyses, it was found that student bullying, liking to read, confident reading, home resources for learning and digital tools at home predicted reading achievement at the student level. In addition to these variables, as a result of the analysis conducted with the addition of school level variables, it was determined that the effect of school on academic achievement and school discipline variables predicted reading achievement. Among the variables considered at the country level by adding variables related to student and school level, it was determined that the long-term-short-term and uncertainty avoidance levels of countries predicted reading achievement.

References

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Ekonomik ve kültürel bağlam okuma başarısında önemli mi? Okuma başarısı ile ilişkili öğrenci, okul ve ülke düzeyi değişkenlerin incelenmesi

Year 2024, , 41 - 56, 28.06.2024
https://doi.org/10.31795/baunsobed.1438619

Abstract

Bu araştırmada, dördüncü sınıf öğrencilerinin okuma başarısını etkileyen öğrenci, okul ve ülke faktörlerinin incelenmesi amaçlanmıştır. Bu doğrultuda PIRLS 2021’de yer alan veriler arasından öğrenci ve okul düzeyindeki değişkenler belirlenmiş ve bu değişkenlerle ilgili veriler analize dahil edilmiştir. Ayrıca, ülkelerin gelirlerinin bireylere dağılımları ile ilgili GINI, gayri safi milli hasılanın eğitime ayrılan yüzdesi (EDGDP) ve Hofstede’nin kültürel boyut teorisinden hareketle eğitimle ilişkili olan alt boyutlar da ülke düzeyinde değişkenler olarak ele alınmıştır. Ülke, okul ve öğrenci düzeyi ile ilgili çeşitli değişkenlerin okuma başarısıyla ilişkisini incelemek amaçlandığından araştırmada yöntem olarak ilişkisel tarama modeli benimsenmiş ve veriler hiyerarşik bir yapıda olduğu için istatistiksel analizlerde hiyerarşik lineer modelleme tekniği kullanılmıştır. Analizler sonucunda öğrenci düzeyi boyutunda öğrenci zorbalığı, okumayı sevme, kendinden emin okuma, öğrenme için ev kaynakları ve evdeki dijital araçlar değişkenlerinin okuma başarısını yordadığı bulgulanmıştır. Bu değişkenlere ilaveten okul düzeyinde değişkenlerin eklenmesi ile yapılan analizler sonucunda ise akademik başarı üzerine okulun etkisi ve okul disiplini değişkenlerinin okuma başarısını yordadığı tespit edilmiştir. Öğrenci ve okul düzeyi ile ilgili değişkenler eklenerek ülke düzeyinde ele alınan değişkenlerden de ülkelerin uzun dönem-kısa dönem ve belirsizlikten kaçınma düzeyleri okuma başarısını yordadığı belirlenmiştir.

References

  • Akçin, F. N. (2016). Öğrenme güçlüğü olan çocuklar. S. Vuran içinde, Özel eğitim (s. 331-368). Maya Akademi.
  • Al Jefri, H. M., & Areepattamannil, S. (2019). Examining the relations of early literacy activities and skills to reading dispositions, engagement, and achievement among fourth-grade students in the United Arab Emirates. Social Psychology of Education, 22(4), 901-920. https://doi.org/10.1007/s11218-019-09504-7
  • Arık, S. (2022). The predictive power of enabling discipline and time management in classroom on reading performance: the analysis of PISA 2018 data. International Journal of Eurasian Education and Culture, 7(17), 1272-1299.
  • Ari Kaukiainen, C. S., Tamminen, M., Vauras, M., Mäki, H., & Poskiparta, E. (2002). Learning difficulties, social intelligence, and self-concept: connections to bully-victim problems. Scandinavian Journal of Psychology, 43(3), 269-278.
  • Badri, M. (2019). School emphasis on academic success and TIMSS science/math achievements. International Journal of Research in Education and Science, 5(1), 176-189.
  • Bayındır, N. (2022). Çevrimiçi öğrenme ortamlarinda teknik ve mekânsal düzenleme. Academic Platform Journal of Education and Change, 5(1), 21-39.
  • Berman, J. D., McCormack, M. C., Koehler, K. A., Connolly, F., Clemons-Erby, D., Davis, M. F., Gummerson, C., Leaf, P. J., Jones, T. D., & Curriero, F. C. (2018). School environmental conditions and links to academic performance and absenteeism in urban, mid-Atlantic public schools. International Journal of Hygiene and Environmental Health, 221(5), 800-808. https://doi.org/10.1016/j.ijheh.2018.04.015
  • Bilim, H. U. (2023). Okuma güçlüğü olan üçüncü sınıf öğrencisinin yankılayıcı okuma ve sq4r stratejileri yoluyla okuma becerisinin geliştirilmesi. Kalem Eğitim ve İnsan Bilimleri Dergisi, 13(1), 347-373.
  • Bulut, S. (2022). İlkokul 4. sınıflarda dijital okuma çalışmalarının dijital okuma motivasyonuna, dijital okumaya ilişkin algılara ve okuduğunu anlamaya etkisi (Tez No. 777253). [Doktora tezi, Pamukkale Üniversitesi-Denizli]. Yükseköğretim Kurulu Başkanlığı Tez Merkezi.
  • Cai, Y., Yang, Y., Ge, Q., & Weng, H. (2022). The interplay between teacher empathy, students’ sense of school belonging, and learning achievement. European Journal of Psychology of Education, 1-17. https://doi.org/10.1007/s10212-022-00637-6
  • Chen, F., Sakyi, A., & Cui, Y. (2021). Linking student, home, and school factors to reading achievement: The mediating role of reading self-efficacy. Educational Psychology. https://www.tandfonline.com/doi/abs/10.1080/01443410.2021.1953445
  • Chiu, M. M., McBride-Chang, C., & Lin, D. (2012). Ecological, psychological, and cognitive components of reading difficulties: Testing the component model of reading in fourth graders across 38 countries. Journal of Learning Disabilities, 45(5), 391-405. https://doi.org/10.1177/0022219411431241
  • Cho, E., Lee, M., & Toste, J. R. (2018). Does perceived competence serve as a protective mechanism against performance goals for struggling readers? Path analysis of contextual antecedents and reading outcomes. Learning and Individual Differences, 65, 135-147. Scopus. https://doi.org/10.1016/j.lindif.2018.05.017
  • Creemers, B., & Kyriakides, L. (2010). School factors explaining achievement on cognitive and affective outcomes: Establishing a dynamic model of educational effectiveness. Scandinavian Journal of Educational Research, 54(3), 263-294. https://doi.org/10.1080/00313831003764529
  • Daoud, R., Starkey, L., Eppel, E., Vo, T. D., & Sylvester, A. (2021). The educational value of internet use in the home for school children: A systematic review of literature. Journal of Research on Technology in Education, 53(4), 353-374. https://doi.org/10.1080/15391523.2020.1783402
  • Drigas, A. S., & Politi-Georgousi, S. (2019). ICTs as a distinct detection approach for dyslexia screening: A contemporary view. International Journal of Online and Biomedical Engineering (iJOE), 15(13), 46-60.
  • Eusebius, N. E. (2017). An analysis of impact of gross domestic product on literacy and poverty of India during the eleventh plan. IOSR Journal Of Humanities And Social Science, 22(6), 41-45.
  • Every Child a Chance Trust. (2009). Long term costs of literacy difficulties. Charity Commission's.
  • Figlio, D., Giuliano, P., Özek, U., & Sapienza, P. (2017). Long-term orientation and educational performance. National Center for Analysis of Longitudinal Data in Education Research.
  • Foy, P. (2013). TIMSS and PIRLS 2011 user guide for the fourth grade combined international database. TIMSS & PIRLS International Study Center, Lynch School of Education, Boston College and International Association for the Evaluation of Educational Achievement (IEA).
  • Foy, P., & Yin, L. (2017). Scaling the PIRLS 2016 achievement data. In M. O. Martin, I. V. S. Mullis, & M. Hooper (Eds.), Methods and procedures in PIRLS 2016 (pp. 1–38). Timss & Pirls international study center. Lynch school of education, boston college and international association of the evaluation of educational achievement.
  • Guo, S., Li, L., & Zhang, D. (2018). A multilevel analysis of the effects of disciplinary climate strength on student reading performance. Asia Pacific Education Review, 19(1), 1-15. https://doi.org/10.1007/s12564-018-9516-y
  • Gutiérrez-Fresneda, R. (2019). Efecto de los grupos interactivos en el aprendizaje de la lectura mediante la colaboración familiar. Revista de Psicodidáctica, 24(2), 138-144. https://doi.org/10.1016/j.psicod.2019.02.001
  • Güneş, F. (2017). Türkçe öğretimi ve zihinsel yapılandırma. Nobel Akademik Yayıncılık.
  • Hamedi, S. M., Pishghadam, R., & Fadardi, J. S. (2020). The contribution of reading emotions to reading comprehension: The mediating effect of reading engagement using a structural equation modeling approach. Educational Research for Policy and Practice, 19(2), 211-238. https://doi.org/10.1007/s10671-019-09256-3
  • Hemmerechts, K., Agirdag, O., & Kavadias, D. (2017). The relationship between parental literacy involvement, socio-economic status and reading literacy. Educational Review, 69(1), 85-101. https://doi.org/10.1080/00131911.2016.1164667
  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind. Mcgraw-hill Companies.
  • Hox, J. (2010). Multilevel analysis: Techniques and applications. Routledge.
  • Hu, J., Dong, X., & Peng, Y. (2022). Discovery of the key contextual factors relevant to the reading performance of elementary school students from 61 countries/regions: Insight from a machine learning-based approach. Reading and Writing, 35(1), 93-127. https://doi.org/10.1007/s11145-021-10176-z
  • Jalongo, M. R., & Hirsh, R. A. (2010). Understanding reading anxiety: New insights from neuroscience. Early Childhood Education Journal, 37(6), 431-435. https://doi.org/10.1007/s10643-010-0381-5
  • Kakoura, E., & Drigas, A. (2023). Digital tools for children with reading difficulties . World Journal of Biology Pharmacy and Health Sciences, 14(3), 129-136.
  • Karadag, E. (2020). The effect of educational leadership on students’ achievement: A cross-cultural meta-analysis research on studies between 2008 and 2018. Asia Pacific Education Review, 21(1), 49-64.
  • Karslı, M. D. (2009). İlköğretimde sınıf yönetimi. Kök Yayıncılık.
  • Kauffman, J. M., Badar, J., Wiley, A. L., Anastasiou, D., & Koran, J. (2022). Uncertainty in education: Policy implications. Journal of Education, 204(1), 656–704.
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There are 67 citations in total.

Details

Primary Language Turkish
Subjects Curriculum Evaluation in Education
Journal Section Educational Sciences
Authors

Tunahan Filiz 0000-0002-3149-8783

Mustafa Demir 0000-0002-0159-8986

Metin Kaya 0000-0002-8287-4929

Kadir Kaplan 0000-0001-7901-1025

Early Pub Date June 28, 2024
Publication Date June 28, 2024
Submission Date February 16, 2024
Acceptance Date June 9, 2024
Published in Issue Year 2024

Cite

APA Filiz, T., Demir, M., Kaya, M., Kaplan, K. (2024). Ekonomik ve kültürel bağlam okuma başarısında önemli mi? Okuma başarısı ile ilişkili öğrenci, okul ve ülke düzeyi değişkenlerin incelenmesi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 27(51), 41-56. https://doi.org/10.31795/baunsobed.1438619

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