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The Role of Digital Technologies in Numeracy Teaching and Learning

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Abstract

This paper presents a model of numeracy that integrates the use of digital technologies among other elements of teaching and learning mathematics. Drawing on data from a school-based project, which includes records of classroom observations, semi-structured teacher interviews and artefacts such as student work samples, a classroom-based vignette is presented, which illustrates possibilities for technology integration into classroom numeracy practice. This vignette provides evidence of the influence of digital tools on students’ development of skills, mathematical knowledge, dispositions and orientation towards using mathematics critically.

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References

  • Artigue, M. (2002). Learning mathematics in a CAS environment: The genesis of a reflection about instrumentation and the dialectics between technical and conceptual work. International Journal of Computers for Mathematical Learning, 7(3), 245–274.

    Article  Google Scholar 

  • Australian Curriculum, and Assessment and Reporting Authority (2011). Australian curriculum: Mathematics. Retrieved from http://www.australiancurriculum.edu.au/Mathematics/Rationale.

  • Boaler, J. & Greeno, J. (2000). Identity, agency and knowing in mathematics worlds. In J. Boaler (Ed.), Multiple perspectives on mathematics teaching and learning (pp. 171–200). Palo Alto: Greenwood.

    Google Scholar 

  • Cobb, P., Confrey, J., DiSessa, A., Lehrer, R. & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.

    Article  Google Scholar 

  • Cockcroft, W. (1982). Mathematics counts. London: HMSO.

    Google Scholar 

  • Confrey, J. & Maloney, A. (2007). A theory of mathematical modelling in technological settings. In W. Blum, P. Galbraith, H. Henn & M. Niss (Eds.), Modelling and applications in mathematics education: The 14th ICMI study (pp. 57–68). New York: Springer.

    Chapter  Google Scholar 

  • Council of Australian Governments (2008). National numeracy review report. Retrieved 11 March 2013 from http://www.coag.gov.au/sites/default/files/national_numeracy_review.pdf.

  • Damlamian, A. & Straesser, R. (2009). ICMI Study 20: Educational interfaces between mathematics and industry. ZDM, 41(4), 525–533.

    Article  Google Scholar 

  • Drijvers, P. & Weigand, H. (2010). The role of handheld technology in the mathematics classroom. ZDM, 42(7), 665–666.

    Article  Google Scholar 

  • Ernest, P. (2002). Empowerment in mathematics education. Philosophy of Mathematics Journal. Retrieved from http://www.ex.ac.uk/~PErnest/pome15/contents.htm.

  • Ferrara, F., Pratt, D. & Robutta, O. (2006). The role and uses of technologies for the teaching of algebra and calculus. In A. Gutiérrez & P. Boero (Eds.), Handbook of research on the psychology of mathematics education: Past, present and future (pp. 237–273). Rotterdam: Sense Publishers.

    Google Scholar 

  • Frankenstein, M. (2001, January). Reading the world with math: Goals for a critical mathematical literacy curriculum. Keynote address delivered at the 18th biennial conference of the Australian Association of Mathematics Teachers, Canberra.

  • Galbraith, P., Renshaw, P., Goos, M. E. & Geiger, V. S. (2003). Technology-enriched classrooms: Some implications for teaching applications and modelling. In Q.-X. Ye, W. Blum, S. K. Houston & Q.-Y. Jiang (Eds.), Mathematical modelling in education and culture (pp. 111–125). Chichester: Horwood Publishing.

    Chapter  Google Scholar 

  • Geiger, V. (2005). Master, servant, partner and extension of self : A finer grained view of this taxonomy. In P. Clarkson, A. Downton, D. Gronn, M. Horne, A. McDonough, R. Pierce & A. Roche (Eds.), Building connections: Theory, research and practice (Proceedings of the 28th annual conference of the Mathematics Education Research Group of Australasia (pp. 369–376). Melbourne: MERGA.

    Google Scholar 

  • Geiger, V. (2011). Factors affecting teachers’ adoption of innovative practices with technology and mathematical modelling. In G. Kaiser, W. Blum, R. Borromeo-Ferri & G. Stillman (Eds.), Trends in the teaching and learning of mathematical modeling (pp. 305–314). New York: Springer.

    Chapter  Google Scholar 

  • Geiger, V., Faragher, R. & Goos, M. (2010). CAS-enabled technologies as ‘agents provocateurs’ in teaching and learning mathematical modelling in secondary school classrooms. Mathematics Education Research Journal, 22(2), 48–68.

    Article  Google Scholar 

  • Geiger, V., Goos, M. & Dole, S. (2011). Trajectories into professional learning in numeracy teaching. In J. Clarke, B. Kissane, J. Mousley, T. Spencer & S. Thornton (Eds.), Traditions and (new) practices (Proceedings of the 34th annual conference of the Mathematics Education Research Group of Australasia (pp. 297–305). Adelaide: MERGA.

    Google Scholar 

  • Goos, M. (2007). Developing numeracy in the learning areas (middle years). Paper presented at the South Australian Literacy and Numeracy Expo, Adelaide.

  • Goos, M., Galbraith, P., Renshaw, P. & Geiger, V. (2000). Reshaping teacher and student roles in technology-enriched classrooms. Mathematics Education Research Journal, 12(3), 303–320.

    Article  Google Scholar 

  • Goos, M., Galbraith, P., Renshaw, P. & Geiger, V. (2003). Perspectives on technology mediated learning in secondary school mathematics classrooms. Journal of Mathematical Behavior, 22(1), 73–89.

    Article  Google Scholar 

  • Goos, M., Geiger, V. & Dole, S. (2010). Auditing the numeracy demands of the middle years curriculum. In L. Sparrow, B. Kissane & C. Hurst (Eds.), Shaping the future of mathematics education (Proceedings of the 33rd annual conference of the Mathematics Education Research Group of Australasia (pp. 210–217). Fremantle: MERGA.

    Google Scholar 

  • Goos, M., Geiger, V. & Dole, S. (2011). Teachers’ personal conceptions of numeracy. In B. Ubuz (Ed.), Proceedings of the 35th conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 457–464). Ankara: PME.

    Google Scholar 

  • Greeno, J. (1991). A view of mathematical problem solving in school. In M. U. Smith (Ed.), Toward a unified theory of problem solving (pp. 69–98). Hillsdale: Lawrence Erlbaum.

    Google Scholar 

  • Gresalfi, M. S. & Cobb, P. (2006). Cultivating students’ discipline-specific dispositions as a critical goal for pedagogy and equity. Pedagogies: An International Journal, 1(1), 49–57.

    Article  Google Scholar 

  • Guin, D., Ruthven, K. & Trouche, L. (2005). The didactical challenge of symbolic calculators: Turning a computational device into a mathematical instrument. New York: Springer.

    Book  Google Scholar 

  • Habermas, J. (1972). Knowledge and human interest. Boston: Beacon.

    Google Scholar 

  • Hoyles, C., Wolf, A., Molyneux-Hodgson, S., & Kent, P. (2002). Mathematical skills in the workplace. Final Report to the Science, Technology and Mathematics Council. Foreword and Executive Summary. London: Institute of Education, University of London; Science,Technology and Mathematics Council.

  • Jablonka, E. (2003). Mathematical literacy. In A. Bishop, M. A. Clements, C. Keitel, J. Kilpatrick & F. Leung (Eds.), Second international handbook of mathematics education (pp. 75–102). Dordrecht: Kluwer.

    Chapter  Google Scholar 

  • Jorgensen Zevenbergen, R. (2011). Young workers and their dispositions towards mathematics: Tensions of a mathematical habitus in the retail industry. Educational Studies in Mathematics, 76(1), 87–100.

    Article  Google Scholar 

  • Kieran, C. & Guzma’n, J. (2005). Five steps to zero: Students developing elementary number theory concepts when using calculators. In W. J. Masalski & P. C. Elliott (Eds.), Technology-supported mathematics learning environments (pp. 35–50). Reston: National Council of Teachers of Mathematics.

    Google Scholar 

  • Kloosterman, P. (2002). Beliefs about mathematics and mathematics learning in the secondary school: Measurement and implications for motivation. In G. C. Leder, E. Pehkonen & G. Törner (Eds.), Beliefs: A hidden variable in mathematics education (pp. 247–269). Dordrecht: Kluwer.

    Google Scholar 

  • Laborde, C., Kynigos, C., Hollebrands, K. & Straesser, R. (2006). Teaching and learning geometry with technology. In A. Gutiérrez & P. Boero (Eds.), Handbook of research on the psychology of mathematics education: Past, present and future (pp. 275–304). Rotterdam: Sense Publishers.

    Google Scholar 

  • Loucks-Horsley, S., Love, N., Stiles, K., Mundry, S. & Hewson, P. (2003). Designing professional development for teachers of science and mathematics (2nd ed.). Thousand Oaks: Corwin Press.

    Google Scholar 

  • McLeod, D. (1992). Research on affect in mathematics education: A reconceptualization. In D. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 575–596). New York: Macmillan.

    Google Scholar 

  • Ministry of Education (1959). 15 to 18: A report of the Central Advisory Council for Education. London: HMSO.

    Google Scholar 

  • National Council of Teachers of Mathematics (2000). Principles and standards for school mathematics. Reston: National Council of Teachers of Mathematics.

    Google Scholar 

  • Niss, M., Blum, W. & Galbraith, P. (2007). Introduction. In W. Blum, P. Galbraith, H. Henn & M. Niss (Eds.), Modelling and applications in mathematics education: The 14th ICMI study (pp. 3–32). New York: Springer.

    Chapter  Google Scholar 

  • Noss, R. (1998). New numeracies for a technological culture. For the Learning of Mathematics, 18(2), 2–12.

    Google Scholar 

  • Noss, R., Hoyles, C. & Pozzi, S. (2000). Working knowledge: Mathematics in use. In A. Bessot & J. Ridgeway (Eds.), Education for mathematics in the workplace (pp. 17–35). Dordrecht: Kluwer.

    Google Scholar 

  • OECD. (2004). Learning for tomorrow’s world: First results from PISA 2003. Paris: OECD.

    Book  Google Scholar 

  • Pea, R. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. Journal of the Learning Sciences, 13(3), 423–451.

    Article  Google Scholar 

  • Perkins, D., Tishman, S., Ritchhart, R., Donis, K. & Andrade, A. (2000). Intelligence in the wild: A dispositional view of intellectual traits. Educational Psychology Review, 12(3), 269–293.

    Article  Google Scholar 

  • Peters, C., Geiger, V., Goos, M. & Dole, S. (2012). Numeracy in health and physical education. The Australian Mathematics Teacher, 68(1), 21–27.

    Google Scholar 

  • Schoenfeld, A. (2006). Design experiments. In G. C. P. B. Elmore & J. Green (Eds.), Complementary methods for research in education (pp. 193–206). Washington: American Educational Research Association.

    Google Scholar 

  • Steen, L. (1999). Numeracy: The new literacy for a data-drenched society. Educational Leadership, October, 8–13.

  • Steen, L. (2001). The case for quantitative literacy. In L. Steen (Ed.), Mathematics and democracy: The case for quantitative literacy (pp. 1–22). Princeton: National Council on Education and the Disciplines.

    Google Scholar 

  • Straesser, R. (2007). Didactics of mathematics: More than mathematics and school! ZDM, 39(1), 165–171.

    Article  Google Scholar 

  • Valanides, N. & Angeli, C. (2008). An exploratory study about the role of epistemological beliefs and dispositions on learners’ thinking about an ill-defined issue in solo and duo problem-solving contexts. In M. S. Khine (Ed.), Knowing, knowledge and beliefs: Epistemological studies across diverse cultures (pp. 197–218). Netherlands: Springer.

    Chapter  Google Scholar 

  • Villarreal, M., Esteley, C. & Mina, M. (2010). Modeling empowered by information and communication technologies. ZDM, 42(3), 405–419.

    Article  Google Scholar 

  • Zevenbergen, R. (1995). Towards a socially critical numeracy. Critical Forum, 3(1&2), 82–102.

    Google Scholar 

  • Zevenbergen, R. (2004). Technologizing numeracy: Intergenerational differences in working mathematically in new times. Educational Studies in Mathematics, 56(1), 97–117.

    Article  Google Scholar 

  • Zevenbergen, R. & Zevenbergen, K. (2009). The numeracies of boatbuilding: New numeracies shaped by workplace technologies. International Journal of Science and Mathematics Education, 7(1), 183–206.

    Article  Google Scholar 

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Geiger, V., Goos, M. & Dole, S. The Role of Digital Technologies in Numeracy Teaching and Learning. Int J of Sci and Math Educ 13, 1115–1137 (2015). https://doi.org/10.1007/s10763-014-9530-4

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  • DOI: https://doi.org/10.1007/s10763-014-9530-4

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