Digital device use and scientific literacy: an examination using Programme for International Student assessment (PISA) 2015 data

References

• Agasisti, T., M. Gil-Izquierdo, and S. W. Han. 2020. “ICT use at Home for School-Related Tasks: What is the Effect on a Student’s Achievement? Empirical Evidence from OECD PISA Data.” Education Economics 28 (6): 601–620. doi:10.1080/09645292.2020.1822787
   Web of Science ®Google Scholar
• Allgood, S., W. Walstad, and J. Siegfried. 2015. “Research on Teaching Economics to Undergraduates.” Journal of Economic Literature 53 (2): 285–325. doi:10.1257/jel.53.2.285
   Web of Science ®Google Scholar
• Banerjee, A. V., S. Cole, E. Duflo, and L. Linden. 2007. “Remedying Education: Evidence from two Randomized Experiments in India.” Quarterly Journal of Economics 122: 1235–1265. doi:10.1162/qjec.122.3.1235
   Web of Science ®Google Scholar
• Becker Jr., W. E. 1975. “The University Professor as a Utility Maximizer and Producer of Learning, Research, and Income.” Journal of Human Resources 10 (1): 107–115. doi:10.2307/145122
   Web of Science ®Google Scholar
• Beltran, D. O., Kuntal K. Das, and R. W. Fairlie. 2010. “Home Computers and Educational Outcomes: Evidence from the NLSY97 and CPS.” Economic Inquiry 48 (3): 771–792.
   Web of Science ®Google Scholar
• Bettinger, E., R. Fairlie, A. Kapuza, E. Kardanova, P. Loyalka, and A. Zakharov. 2020. “Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function.” NBER Working Paper No. 26967.
   Google Scholar
• Bingimlas, K. A. 2009. “Barriers to the Successful Integration of ICT in Teaching and Learning Environments: A Review of the Literature.” Eurasia Journal of Mathematics, Science & Technology Education 5 (3): 235–245. doi:10.12973/ejmste/75275
   Google Scholar
• Boardman, A. E., and R. J. Murnane. 1979. “Using Panel Data to Improve Estimates of the Determinants of Educational Achievement.” Sociology of Education 52 (2): 113–121. doi:10.2307/2112449
   Web of Science ®Google Scholar
• Bulman, G., and R. W. Fairlie. 2016. “Technology and Education: Computers, Software, and the Internet.” In Handbook of the Economics of Education, edited by A. H. Eric, M. Steven, and W. Ludger, Vol. 5, 239–280. Amsterdam: North Holland.
   Google Scholar
• Falck, O., C. Mang, and L. Woessmann. 2018. “Virtually no Effect? Different Uses of Classroom Computers and Their Effect on Student Achievement.” Oxford Bulletin of Economics and Statistics 80 (1): 1–38. doi:10.1111/obes.12192
   Web of Science ®Google Scholar
• Hanushek, E. A. 1979. “Conceptual and Empirical Issues in the Estimation of Educational Production Functions.” The Journal of Human Resources 14 (3): 351–388. doi:10.2307/145575
   Web of Science ®Google Scholar
• Hanushek, E. A. 2002. “Publicly Provided Education.” In Handbook of Public Economics, edited by J. A. Alan, and F. Martin, Vol. 4, 2045–2141. Amsterdam: North Holland.
   Google Scholar
• Hartanto, A., W. Toh, and H. Yang. 2018. “Context Counts: The Different Implications of Weekday and Weekend Video Gaming for Academic Performance in Mathematics, Reading, and Science.” Computers & Education 120: 51–63. doi:10.1016/j.compedu.2017.12.007
   Web of Science ®Google Scholar
• Hu, X., Y. Gong, C. Lai, and F. K. Leung. 2018. “The Relationship Between ICT and Student Literacy in Mathematics, Reading, and Science Across 44 Countries: A Multilevel Analysis.” Computers & Education 125: 1–13. doi:10.1016/j.compedu.2018.05.021.
   Web of Science ®Google Scholar
• Jerrim, J., L. A. Lopez-Agudo, O. D. Marcenaro-Gutierrez, and N. Shure. 2017. “What Happens When Econometrics and Psychometrics Collide? An Example Using PISA Data.” Economics of Education Review. 61: 51–58. doi:10.1016/j.econedurev.2017.09.007
   Web of Science ®Google Scholar
• Juhaňák, L., J. Zounek, K. Záleská, O. Bárta, and K. Vlčková. 2019. “The Relationship Between Students’ ICT Use and Their School Performance: Evidence from PISA 2015 in the Czech Republic.” ORBIS SCHOLAE 12: 37–64. doi:10.14712/23363177.2018.292.
   Google Scholar
• Krohn, G. A., and C. M. O’Connor. 2005. “Student Effort and Performance Over the Semester.” Journal of Economic Education 36 (1): 3–28. doi:10.3200/JECE.36.1.3-28
   Web of Science ®Google Scholar
• Maddala, G. S. 1983. Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press.
   Google Scholar
• Muralidharin, K., A. Singh, and A. Ganimian. 2017. “Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India”, NBER Working Paper 22923. Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Muralidharin, K., A. Singh, and A. Ganimian. 2019. “Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India.” American Economic Review 109 (4): 1426–1460. doi:10.1257/aer.20171112
   Web of Science ®Google Scholar
• Odell, B., A. Galovan, and M. Cutumisu. 2020. “The Relation Between ICT and Science in PISA 2015 for Bulgarian and Finnish Students.” EURASIA Journal of Mathematics, Science and Technology Education 16 (6).
   Google Scholar
• OECD. 2009. PISA Data Analysis Manual: SPSS, 2nd ed. OECD Publishing. doi:10.1787/19963777.
   Google Scholar
• OECD. 2015. “PISA 2015 Released Field Trial Cognitive Items.” https://www.oecd.org/pisa/test/PISA2015-Released-FT-Cognitive-Items.pdf.
   Google Scholar
• OECD. 2017. “PISA 2015 Technical Report”, OECD Publishing, Paris, http://www.oecd.org/pisa/sitedocument/PISA-2015-technical-report-final.pdf.
   Google Scholar
• Petko, D., A. Cantieni, and D. Prasse. 2017. “Perceived Quality of Educational Technology Matters: A Secondary Analysis of Students’ ICT Use, ICT-Related Attitudes, and PISA 2012 Test Scores.” Journal of Educational Computing Research 54 (8): 1070–1091. doi:10.1177/0735633116649373
   Web of Science ®Google Scholar
• Rodrigues, M., and F. Biagi. 2017. “Digital technologies and learning outcomes of students from low socio-economic background: An Analysis of PISA 2015”. EUR 28688 EN. doi:10.2760/415251
   Google Scholar
• Skryabin, M., J. Zhang, L. Liu, and D. Zhang. 2015. “How the ICT Development Level and Usage Influence Student Achievement in Reading, Mathematics, and Science.” Computers and Education 85: 49–58. doi:10.1016/j.compedu.2015.02.004
   Web of Science ®Google Scholar
• Spiezia, V. 2010. “Does Computer Use Increase Educational Achievements? Student-Level Evidence from PISA.” OECD Journal: Economic Studies 2010 (1): 1–22. doi:10.1787/eco_studies-2010-5km33scwlvkf
   Google Scholar
• Srijamdee, K., and P. Pholphirul. 2020. “Does ICT Familiarity Always Help Promote Educational Outcomes? Empirical Evidence from PISA-Thailand.” Education and Information Technologies 25 (4): 2933–2970. doi:10.1007/s10639-019-10089-z
   Web of Science ®Google Scholar
• Todd, P. E., and K. I. Wolpin. 2003. “On the Specification and Estimation of the Production Function for Cognitive Achievement.” The Economic Journal 113 (2): 3–33. doi:10.1111/1468-0297.00097
   Google Scholar
• Vigdor, J. L., H. F. Ladd, and E. Martinez. 2014. “Scaling the Digital Divide: Home Computer Technology and Student Achievement.” Economic Inquiry 52 (3): 1103–1119. doi:10.1111/ecin.12089
   Web of Science ®Google Scholar
• Winthrop, R., and M. S. Smith. 2012. “A New Face of Education: Bringing Technology into the Classroom in the Developing World.” Brooke Shearer Working Paper Series. Global Economy and Development at Brookings. https://www.brookings.edu/wp-content/uploads/2016/06/01_education_technology_shearer.pdf.
   Google Scholar
• Wooldridge, J. M. 2010. Econometric Analysis of Cross Section and Panel Data. 2nd ed. Cambridge, MA: MIT Press.
   Google Scholar