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Abstract

This paper analyses Indonesian primary students’ Mathematical literacy in solving PISA like problems. The instruments were administered to 254 sixth graders from five different regions in Surabaya, Indonesia with various social background. There were three contents (quantity, Uncertainty and data, space and shape) and three level problems (High, Medium and Easy) used to develop Mathematics Literacy Test (MLT). Three students’ categories (Good, Middle and Low) were established by cluster analysis methodology. The most students’ challenge on MLT was space and shape as well as uncertainty and data’s content problem. The description of profile of primary students’ mathematical literacy related to MLT are worthy to suggest the design of learning lines for primary students to have more opportunity to learn and solve Mathematics literacy problem.

Keywords

Indonesia Mathematical Literacy PISA like Primary Students

Article Details

References

  1. Ben-Chaim, D., Lappan, G., & Houang, R. T. (1989). Adolescents' ability to communicate spatial information: Analyzing and effecting students' performance. Educational Studies in Mathematics, 20(2), 121-146. https://doi.org/10.1007/BF00579459
  2. Gutiérrez, Á. (1992). Exploring the links between Van Hiele Levels and 3-dimensional geometry. Structural Topology 1992 núm 18.
  3. Hayat, B. (2010). Literacy of our youngsters: results and restraints from PISA. International Journal of Education, 5(1), 1-16.
  4. Höfer, T., & Beckmann, A. (2009). Supporting mathematical literacy: examples from a cross-curricular project. ZDM, 41(1-2), 223-230. https://doi.org/10.1007/s11858-008-0117-9
  5. Ni'mah, L., Junaedi, I., & Mariani, S. (2017). Mathematical literacy’s vocational students based on logical and numerical reasoning. Infinity Journal, 6(2), 95-110. https://doi.org/10.22460/infinity.v6i2.p95-110
  6. Ojose, B. (2011). Mathematics literacy: Are we able to put the mathematics we learn into everyday use. Journal of Mathematics Education, 4(1), 89-100.
  7. OECD. (2010). PISA 2012 Mathematics Framework. http://www.oecd.org/pisa/pisaproducts/46961598.pdf
  8. OECD. (2013). PISA 2012 result 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
  9. OECD. (2014). PISA 2012 results: What students know and can do student performance in mathematics, reading and science. Volume I. Paris: OECD Publishing.
  10. Stacey, K. (2011). The PISA view of mathematical literacy in Indonesia. Journal on Mathematics Education, 2(2), 95-126. https://doi.org/10.22342/jme.2.2.746.95-126
  11. Stacey, K., & Turner, R. (2015). The evolution and key concepts of the PISA mathematics frameworks. In Assessing mathematical literacy, 5-33. https://doi.org/10.1007/978-3-319-10121-7_1
  12. Sáenz, C. (2009). The role of contextual, conceptual and procedural knowledge in activating mathematical competencies (PISA). Educational Studies in Mathematics, 71(2), 123-143. https://doi.org/10.1007/s10649-008-9167-8
  13. Vidal, R., Ma, Y., & Sastry, S. S. (2016). Principal component analysis. In Generalized principal component analysis, 25-62. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87811-9_2
  14. Watson, J. M. (2003): Statistical Literacy at the school level: What should students know and do? In Bulletin of the International Statistical Institute 54th Session Proceedings Berlin 2003, (Volume LX, Book 2, Invited Papers, Topic 49, pp. 68-71)
  15. Widjaja, W. (2011). Towards mathematical literacy in the 21st century: perspectives from Indonesia. Southeast Asian mathematics education journal, 1(1), 75-84.
  16. Wijaya, A., van den Heuvel-Panhuizen, M., Doorman, M., & Robitzsch, A. (2014). Difficulties in solving context-based PISA mathematics tasks: An analysis of students' errors. The Mathematics Enthusiast, 11(3), 555-584.