Journals / Journal of Computer and Education Research / 2021 / Cilt: 9 - Sayı: 18

How does Information and Communications Technology Influence Turkish Students’ Science Achievement?

Pages
754–770
Publication Date
2021-12-21
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results, it can be said that student-level ICT variables explain approximately 20% of the total variance in science success of students.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to evaluate the science achievements of Turkish students based on 2018 PISA data both according to Information and Communications Technology (ICT) variables of student and school levels.
📊
Key Findings & Data:According to the results, it can be said that student-level ICT variables explain approximately 20% of the total variance in science success of students.
💡
Conclusion & Impact:The negative determinants are the use of ICT at school in general, ICT use as social interaction, and ICT use outside of school.
🔬Design:Modeling & Simulation
📍Scope:2018 Verileri
⚙️Variables:ICT · science achievement · PISA

Abstract

This study aims to evaluate the science achievements of Turkish students based on 2018 PISA data both according to Information and Communications Technology (ICT) variables of student and school levels. With a relational research model, regression analysis was used to measure the variance factors affecting science achievement. Also, two-level Hierarchical Linear Modelling (HLM) analysis was used to add school-level analysis. According to the results, it can be said that student-level ICT variables explain approximately 20% of the total variance in science success of students. The positive determinants are ICT resources, subject-related ICT use during lessons, and perceived ICT competence. The negative determinants are the use of ICT at school in general, ICT use as social interaction, and ICT use outside of school.

Özet

This study aims to evaluate the science achievements of Turkish students based on 2018 PISA data both according to Information and Communications Technology (ICT) variables of student and school levels. With a relational research model, regression analysis was used to measure the variance factors affecting science achievement. Also, two-level Hierarchical Linear Modelling (HLM) analysis was used to add school-level analysis. According to the results, it can be said that student-level ICT variables explain approximately 20% of the total variance in science success of students. The positive determinants are ICT resources, subject-related ICT use during lessons, and perceived ICT competence. The negative determinants are the use of ICT at school in general, ICT use as social interaction, and ICT use outside of school.

🔖

Cite This Article

KAYA, V. H., İNCİ, S. (2021). How does Information and Communications Technology Influence Turkish Students’ Science Achievement?. Journal of Computer and Education Research, Cilt: 9 - Sayı: 18, 754–770. https://ajindex.com/articles/386893

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Anıl, D. & Özer, Y. (2012). The effect of the aim and frequency of computer usage on student achievement according to PISA 2006. Procedia-Social and Behavioral Sciences, 46, 5484-5488.
  2. Cheema, J. R. & Zhang, B. (2013). Quantity and quality of computer use and academic achievement: Evidence from a large-scale international test program. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 9(2), 95-106.
  3. Delen, E., & Bulut, O. (2011). The relationship between students’ exposure to technology and their achievement in science and math. The Turkish Online Journal of Educational Technology, 10, 311-317.
  4. Elçiçek, M. & Erdemci, H. (2021). Investigation of 21st-century competencies and e-learning readiness of higher education students on the verge of digital transformation. Journal of Computer and Education Research, 9 (17), 80-101. DOI: 10.18009/jcer.835877 Erdoğdu, F., & Erdoğdu, E. (2015). The impact of access to ICT, student background and school/home environment on academic success of students in Turkey: An international comparative analysis. Computers & Education, 82, 26–49.
  5. EU (2018). Communication from the commission to the european parliament, the council, the European economic and social committee and the committee of the regions: On the digital education action plan. Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52018DC0022&from=EN
  6. EU (2020). Digital education action plan. https://ec.europa.eu/education/education-in-the-eu/digital-education-action-plan_en
  7. Hu, X., Gong, Y., Lai, C., & Leung, F. K. (2018). The relationship between ICT and student literacy in mathematics, reading, and science across 44 countries: A multilevel analysis. Computers & Education, 125, 1-13.
  8. Hughes, C. (2020). Some implications of COVID‐19 for remote learning and the future of schooling. In progress reflection No. 36. On current and critical issues in curriculum, learning and assessment, UNESCO International Bureau of Education. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000373229
  9. Jerrim, J., Lopez-Agudob, L. A., Marcenaro-Gutierrezb, O. D. & Shure, N. (2017). What happens when econometrics and psychometrics collide? An example using the PISA data. Economics of Education Review, 61, 51–58.
  10. Kubiatko, M. & Vlčková, K. (2010). The relationship between ICT use and science knowledge for Czech students: A secondary analysis of PISA 2006. International Journal of Science and Mathematics E