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Articles

Information technology, mathematics achievement and educational equity in developed economies

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Pages 371-390 | Received 26 May 2016, Accepted 14 Nov 2016, Published online: 08 Jan 2017

References

  • Atar, Hakan Y., and Burcu Atar. 2012. “Investigating the Multilevel Effects of Several Variables on Turkish Students’ Science Achievements on TIMSS.” Journal of Baltic Science Education 11 (2): 115–126.
  • Attewell, Paul, and Juan Battle. 1999. “Home Computers and School Performance.” Information Society 15 (1): 1–10.
  • Baker, David E., Brian Goesling, and Gerald K. Letendre. 2002. “Socioeconomic Status, School Quality, and National Economic Development: A Cross-National Analysis of the “Heyneman-Loxley Effect” on Mathematics and Science Achievement.” Comparative Education Review 46 (3): 291–312.10.1086/341159
  • Baumert, Jurgen, Oliver Ludtke, and Ulrich Trautwein. 2006. Interpreting Effect Sizes in Large-Scale Educational Assessments. Berlin: Max Planck Institute for Human Development.
  • Berker, Thomas, Maren Hartmann, Yves Punie, and Katie J. Ward, eds. 2006. Domestication of Media and Technology. Berkshire: Open University Press.
  • Bourdieu, Pierre. 1986. “The Forms of Capital.” In Handbook of Theory and Research for the Sociology of Education, edited by John G. Richardson, 241–258. New York: Greenwood.
  • Bourdieu, Pierre. 1990. The Logic of Practice. Cambridge: Polity Press.
  • Byun, Soo-Yong, Evan Schofer, and Kyung-Keun Kim. 2012. “Revisiting the Role of Cultural Capital in East Asian Educational Systems: The Case of South Korea.” Sociology of Education 85 (3): 219–239.10.1177/0038040712447180
  • Cheung, Alan C. K., and Robert E. Slavin. 2013. “The Effectiveness of Educational Technology Applications for Enhancing Mathematics Achievement in K-12 Classrooms: A Meta-Analysis.” Educational Research Review 9: 88–113.10.1016/j.edurev.2013.01.001
  • Chiu, Ming Ming. 2010. “Effects of Inequality, Family and School on Mathematics Achievement: Country and Student Differences.” Social Forces 88 (4): 1645–1676.10.1353/sof.2010.0019
  • Chiu, Ming Ming, and Lawrence Khoo. 2005. “Effects of Resources, Inequality, and Privilege Bias on Achievement: Country, School, and Student Level Analyses.” American Educational Research Journal 42 (4): 575–603.10.3102/00028312042004575
  • Clark, Richard E. 1983. “Reconsidering Research on Learning from Media.” Review of Educational Research 53 (4): 445–459.10.3102/00346543053004445
  • Coleman, James, Ernest Campbell, Carol Hobson, James McPartland, Alexander Mood, Frederic Weinfeld, and Robert York. 1966. Equality of Educational Opportunity. Washington, DC: US Government Printing Office.
  • Delen, Erhan, and Okan Bulut. 2011. “The Relationship between Students’ Exposure to Technology and Their Achievement in Science and Math.” The Turkish Online Journal of Educational Technology 10 (3): 311–317.
  • Demir, İbrahim, H. Ünal, and Serpil Kılıç. 2010. “The Effect of Quality of Educational Resources on Mathematics Achievement: Turkish Case from PISA2006.” Procedia – Social and Behavioral Sciences 2 (2): 1855–1859.10.1016/j.sbspro.2010.03.998
  • Dix, Katherine L. 2007. Is School-Wide Adoption of ICT Change for the Better? Adelaide, SA: Shannon Press.
  • Dochy, Filip J. R. C. 1994. “Prior Knowledge and Learning.” In International Encyclopedia of Education, edited by T. Neville Postlethwaite and Torsten Husen, 4698–4702. 2nd ed. Oxford/New York: Pergamon Press.
  • Du, Jianxia, Byron Havard, Chien Yu, and James Adams. 2004. “The Impact of Technology Use on Low-Income and Minority Students’ Academic Achievement: Educational Longitudinal Study of 2002.” Journal of Educational Research & Policy Studies 4 (2): 21–38.
  • Giacquinta, Joseph B., Bauer, Jo. A., and Levin, Jane E. 1993. Beyond Technology’s Promise: An Examination of Children’s Educational Computing at Home. New York: Cambridge University Press.
  • Goldhaber, Dan D., and Dominic J. Brewer. 2000. “Does Teacher Certification Matter? High School Teacher Certification Status and Student Achievement.” Educational Evaluation and Policy Analysis 22 (2): 129–145.10.3102/01623737022002129
  • Harker, Richard, and Peter Tymms. 2004. “The Effects of Student Composition on School Outcomes.” School Effectiveness and School Improvement 15 (2): 177–199.10.1076/sesi.15.2.177.30432
  • Harris, Richard G. 2001. “The Knowledge-Based Economy: Intellectual Origins and New Economic Perspectives.” International Journal of Management Reviews 3 (1): 21–40.10.1111/ijmr.2001.3.issue-1
  • Hattie, John. 2009. Visible Learning: A Synthesis of over 800 Meta-Analyses Relating to Achievement. London, & New York: Routledge.
  • Heck, Ronald H., Scott L. Thomas, and Lynn N. Tabata. 2010. Multilevel and Longitudinal Modeling with IBM SPSS. New York: Routledge.
  • Hew, K. F., and T. Brush. 2007. “Integrating Technology into K-12 Teaching and Learning: Current Knowledge Gaps and Recommendations for Future Research.” Educational Technology Research and Development 55 (3): 223–252.10.1007/s11423-006-9022-5
  • Hopstock, Paul J., and Marisa P. Pelczar. 2011. Technical Report and User’s Guide for the Program for International Student Assessment (PISA): 2009 Data Files and Database with U.S. Specific Variables (NCES 2011-025). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.
  • Hutchby, Ian. 2001. “Technologies, Texts, and Affordances.” Sociology 35 (2): 441–456.10.1177/S0038038501000219
  • Hutchby, Ian. 2003. “Affordances and the Analysis of Technologically Mediated Interaction: A Response to Brian Rappert.” Sociology 37 (3): 581–589.10.1177/00380385030373011
  • Johnson, David W., and Roger T. Johnson. 1992. “Implementing Cooperative Learning.” Contemporary Education 63 (3): 173–180.
  • Kim, Sunha, and Mido Chang. 2010. “Does Computer Use Promote the Mathematical Proficiency of ELL Students?” Journal of Educational Computing Research 42 (3): 285–305.10.2190/EC.42.3.c
  • Klein, Hans K., and Daniel L. Kleinman. 2002. “The Social Construction of Technology: Structural Considerations.” Science, Technology, and Human Values 27 (1): 28–52.10.1177/016224390202700102
  • Kleinman, Daniel L. 1998. “Untangling Context: Understanding a University Laboratory in the Commercial World.” Science, Technology, and Human Values 23 (3): 285–314.10.1177/016224399802300302
  • Korupp, Sylvia. E., and Szydlik, Marc. 2005. “Causes and Trends of the Digital Divide.” European Sociological Review 21 (4): 409–422.10.1093/esr/jci030
  • Kozma, Robert B. 1994. “Will Media Influence Learning? Reframing the Debate.” Educational Technology Research and Development 42 (2): 7–19.10.1007/BF02299087
  • Lawless, Kimberly A., and James W. Pellegrino. 2007. “Professional Development in Integrating Technology into Teaching and Learning: Knowns, Unknowns, and Ways to Pursue Better Questions and Answers.” Review of Educational Research 77 (4): 575–614.10.3102/0034654307309921
  • Leuven, Edwin, Mikael Lindahl, Hessel Oosterbeek, and Dinand Webbink. 2007. “The Effect of Extra Funding for Disadvantaged Pupils on Achievement.” The Review of Economics and Statistics 89 (4): 721–736.10.1162/rest.89.4.721
  • Li, Qing, and Xin Ma. 2010. “A Meta-Analysis of the Effects of Computer Technology on School Students’ Mathematics Learning.” Educational Psychology Review 22 (3): 215–243.10.1007/s10648-010-9125-8
  • Lowther, Deborah L., Steven M. Ross, and Gary M. Morrison. 2003. “When Each One Has One: The Influences on Teaching Strategies and Student Achievement of Using Laptops in the Classroom.” Educational Technology Research and Development 51 (3): 23–44.10.1007/BF02504551
  • Machin, Stephen, Sandra McNally, and Olmo Silva. 2007. “New Technology in Schools: Is There a Payoff?” Economic Journal 117 (522): 1145–1167.10.1111/ecoj.2007.117.issue-522
  • Mourshed, Mona, Chinezi Chijioke, and Michael Barber. 2010. How the World’s Most Improved School Systems Keep Getting Better. http://ssomckinsey.darbyfilms.com/reports/EducationBookNov23.pdf.
  • OECD. 2010. Are the New Millennium Learners Making the Grade? Technology Use and Educational Performance in PISA. Paris: Centre for Educational Research and Innovation, OECD.
  • OECD. 2013. PISA 2012 Results in Focus: What 15-Year-Olds Know and What They Can Do with What They Know. http://www.oecd.org/pisa/keyfindings/pisa-2012-results-overview.pdf.
  • OECD. 2015. Students, Computers and Learning: Making the Connection. http://www.keepeek.com/Digital-Asset-Management/oecd/education/students-computers-and-learning_9789264239555-en#page3
  • Papanastasiou, Elena C., and Richard E. Ferdig. 2006. “Computer Use and Mathematical Literacy: An Analysis of Existing and Potential Relationships.” Journal of Computers in Mathematics and Science Teaching 25 (4): 361–371.
  • Pierce, Robyn, and Lynda Ball. 2009. “Perceptions That May Affect Teachers’ Intention to Use Technology in Secondary Mathematics Classes.” Educational Studies in Mathematics 71 (3): 299–317.10.1007/s10649-008-9177-6
  • Raudenbush, Stephen W., and Anthony S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Thousand Oaks, CA: Sage.
  • Reynolds, David, Pam Sammons, Bieke De Fraine, Jan van Damme, Tony Townsend, Charles Teddlie, and Sam Stringfield. 2014. “Educational Effectiveness Research (EER): a State-of-the-Art Review.” School Effectiveness and School Improvement 25 (2): 197–230.10.1080/09243453.2014.885450
  • Richter, Tobias. 2006. “What is Wrong with ANOVA and Multiple Regression? Analyzing Sentence Reading times with Hierarchical Linear Models.” Discourse Processes 41 (3): 221–250.10.1207/s15326950dp4103_1
  • Rumberger, Russell W., and Gregory J. Palardy. 2005. “Does Segregation Still Matter? The Impact of Student Composition on Academic Achievement in High School.” Teachers College Record 107 (9): 1999–2045.
  • Savage, Mike, Fiona Devine, Niall Cunningham, Mark Taylor, Yaojun Li, Johs Hjellbrekke, Brigitte Le Roux, Sam Friedman, and Andrew Miles. 2013. “A New Model of Social Class? Findings from the BBC’s Great British Class Survey Experiment.” Sociology 47 (2): 219–250.10.1177/0038038513481128
  • Schleicher, Andreas. 2009. “Securing Quality and Equity in Education: Lessons from PISA.” Prospects 39: 251–263.10.1007/s11125-009-9126-x
  • Selwyn, Neil. 2012. “Making Sense of Young People, Education and Digital Technology: The Role of Sociological Theory.” Oxford Review of Education 38 (1): 81–96.10.1080/03054985.2011.577949
  • Silverstone, Roger, and Eric Hirsch, eds. 1992. Consuming Technologies: Media and Information in Domestic Spaces. London: Routledge.
  • Silverstone, Roger, Eric Hirsch, and David Morley. 1992. “Information and Communication Technologies and the Moral Economy of the Household.” In Consuming Technologies: Media and Information in Domestic Spaces, edited by Roger Silverstone and Eric Hirsch, 15–31. London: Routledge.10.4324/9780203401491
  • Tan, Cheng Yong. 2015. “The Contribution of Cultural Capital to Students’ Mathematics Achievement in Medium and High Socioeconomic Gradient Economies.” British Educational Research Journal 41 (6): 1050–1067.10.1002/berj.3187
  • Tearle, Penni. 2004. “A Theoretical and Instrumental Framework for Implementing Change in ICT in Education.” Cambridge Journal of Education 34 (3): 331–351.10.1080/0305764042000289956
  • Visser, Mariette, Andrea Juan, and Nosisi Feza. 2015. “Home and School Resources as Predictors of Mathematics Performance in South Africa.” South African Journal of Education 35 (1): 1–10.10.15700/201409161038
  • Werblow, Jacob, and Luke Duesbery. 2009. “The Impact of High School Size on Math Achievement and Dropout Rate.” The High School Journal 92 (3): 14–23.10.1353/hsj.0.0022
  • Wittwer, Jorg, and Martin Senkbeil. 2008. “Is Students’ Computer Use at Home Related to Their Mathematical Performance at School?” Computers & Education 50: 1558–1571.10.1016/j.compedu.2007.03.001
  • Xu, Jun, and Gillian Hampden-Thompson. 2012. “Cultural Reproduction, Cultural Mobility, Cultural Resources, or Trivial Effect? A Comparative Approach to Cultural Capital and Educational Performance.” Comparative Education Review 56 (1): 98–124.10.1086/661289

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