The purpose of this journal is to share and exchange the results of recent research by Asia-Pacific national researchers, and the purpose of the project is to publish the results of convergence research with the humanities and social sciences, including advanced research in specific fields.
[1] OECD, OECD 2012 Result, (2014)
Available from: https://www.oecd.org/pisa/data/pisa2018technicalreport/
[2] Seri Kim, N. C. Woo, S.Y. Jang, Students' EBS Program and Computer Use, and Teachers' ICT Use in Education on the Students' Academic Achievements, Journal of Education Technology, (2012), Vol.28, No.4, pp.849-877.
[3] C. W. Nam, S. Y. Shin, Effects of Students' ICT-related Variables on Their Attitude toward ICT Use and Problem-solving Abilities, Journal of Educational Evaluation, (2014), Vol.27, No.6, pp.1265-1286.
[3] Seri Kim, N. C. Woo, S. Y. Jang, Students' EBS Program and Computer Use, and Teachers' ICT Use in Education on the Students' Academic AchievementsJournal of Education Technology, (2012), Vol.28, No.4, pp.849-877.
[4] Y. H. Lee, D. H. Ku, H. J. Im, Effects of Student- and School-level ICT-related Factors on Computer-based Problem Solving: Focusing on Korea and Japan, Korean Association Of Information Education, (2017), Vol.21, No.4, pp.425-435
[5] S. Y. Lee, Analysis of Korean Students’ achievement according to PISA 2018, KICE, (2020)
Available from: https://www.kice.re.kr/upload/brochureBoard/6/2021/06/258/1624496069884_58463872663845 798.pdf
[6] H. Y. Jung, S. Y. Park, Predictors Affecting Adolescents’ Reading, Mathematics, and Science Achievement, KICE, pp.223-246, (2022)
[7] E. C. Papastasiou, M. Zembylas, C. Vrasidas, Can computer use hurt science achievement? The USA results from PISA, Journal of science education and technology, (2003), Vol.12, No.3, pp.325-332.
[8] A. Aypay, The adaptation study of General Self-Efficacy (GSE) Scale to Turkish, Inonu University Journal of the Faculty of Education (INUJFE), (2010), Vol.11, No.2.
[9] Gyun Heo, Computer-Aided Education: Multi-Level Analysis on the Using ICT Ability and Using Compuers for Learning through PISA 2009 Data, The journal of Korean Association of computer education, (2013),Vol.16, No.1, pp.51-61.
[10] Mihyun Park, Gyun Heo, Development of Prediction Model for Middle School Students’ Underachievement Using Machine Learning Classification Technques: A Focus on DELS, Jouranl of Education Technology, (2021), Vol.37, No.3, pp.627-648.
[11] H. Kuhlemeier, B. Hemker. The impact of computer use at home on students’ Internet skills, Computers & education, (2007), Vol.49, No.2, pp.460-480.
[12] M. J. Tsai, C. C. Tsai, Junior high school students’ Internet usage and self-efficacy: A re-examination of the gender gap, Computers & Education, (2010), Vol.54, No.4, pp.1182-1192.
[13] W. C. Jeun, An analysis study on correlation between Information Culture Index and Gender Difference, Art & Humanities, (2016), Vol.6, No.8, pp.353-360.
[14] E. Kuiper, M.Volman, J.Terwel, The Web as an information resource in K–12 education: Strategies for supporting students in searching and processing information, Review of educational research, (2005), Vol.75, No.3, pp.285-328.
[15] L.Breman, Random forests, Machine learning, (2001),Vol.45, No.1, pp.5-32.
[16] Je Yu, Random forests, an alternative data mining technique to decision tree, KIE, (2016), Vol.28, No.2, pp.427-448.
APA:
Lee, K. S. (2023). Analysis of ICT Factors and Gender Differences Predicting Reading Literacy and Mathematics Achievement Using Random Forest: Focusing on PISA 2018 Data. Asia-pacific Journal of Convergent Research Interchange (APJCRI), ISSN: 2508-9080 (Print); 2671-5325 (Online), KCTRS, 9(2), 433-443. doi: 10.47116/apjcri.2023.02.35
MLA:
Lee, Kyung Sook, “Analysis of ICT Factors and Gender Differences Predicting Reading Literacy and Mathematics Achievement Using Random Forest: Focusing on PISA 2018 Data.” Asia-pacific Journal of Convergent Research Interchange, ISSN: 2508-9080 (Print); 2671-5325 (Online), KCTRS, vol. 9, no. 2, 2023, pp. 433-443. APJCRI, http://fucos.or.kr/journal/APJCRI/Articles/v9n2/35.html.
IEEE:
[1] K. S. Lee, “Analysis of ICT Factors and Gender Differences Predicting Reading Literacy and Mathematics Achievement Using Random Forest: Focusing on PISA 2018 Data.” Asia-pacific Journal of Convergent Research Interchange (APJCRI), ISSN: 2508-9080 (Print); 2671-5325 (Online), KCTRS, vol. 9, no. 2, pp. 433-443, February 2023.