Published in Nunes,T (ed) Special Issue, ‘Giving Meaning to Mathematical Signs: Psychological,
Pedagogical and Cultural Processes‘ Human Development, Vol 52, No 2, April, pp. 129-
specific learning objectives. The second is the importance of tools (tools that express
the mathematics and tools that that connect the learners) in shaping and enhancing the
meanings developed by the participants articulated as situated abstractions in each
case.
The research challenges are considerable, not least because of the rapid
advance of the technology that might render the categories described in this paper
inadequate. For example, we have barely had a chance to consider the implications of
multi-touch screens or mobile handheld devices on learning; yet these too hold the
promise of pedagogic potential and also will shape both what is learned as well as
how it is learned. There are many such advances in the pipeline. But just in case we
are accused of technocentrism, we reiterate that none of these developments will
happen without more design research to tease out the ways the tools shape
mathematics and its learning, and reciprocally, an understanding of how individuals
and communities can shape the evolving technology.
7. 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
Arzarello, F., Micheletti, C., Olivero, F., Robutti O., Paola, D. & Gallino, G. (1998)
‘Dragging in Cabri and Modalities of Transition from Conjectures to Proofs in
Geometry.‘ In Olivier, A. & Newstead, K. (eds) Proceedings of PME 22
University of Stellenbosch, South Africa, Vol. 2, pp.32-39.
Balacheff, N. (1993). Artificial intelligence and real teaching. In C., Keitel & K.,
Ruthven (eds.), Learning from computers: Mathematics education and
technology, pp. 131-158. Berlin: Springer-Verlag.
Bowker, G. C., & Star, S. L. (1999). Sorting things out: Classification and its
consequences. Cambridge, MA: MIT Press.
Confrey, J., Hoyles, C., Jones, D., Kahn, K., Maloney, A. P., Nguyen, K. H., Noss,
R. & Pratt, D. (in press) Designing Software for Mathematical Engagement
through Modelling in Hoyles, C., & Lagrange, J.b. (eds), Digital technologies and
mathematics teaching and learning: Rethinking the terrain, Springer
diSessa, A. (2000). Changing Minds, Computers, Learning And Literacy. Cambridge,
MA: MIT Press.
22
More intriguing information
1. Testing Hypotheses in an I(2) Model with Applications to the Persistent Long Swings in the Dmk/$ Rate2. Wettbewerbs- und Industriepolitik - EU-Integration als Dritter Weg?
3. Exchange Rate Uncertainty and Trade Growth - A Comparison of Linear and Nonlinear (Forecasting) Models
4. Consumption Behaviour in Zambia: The Link to Poverty Alleviation?
5. Quality Enhancement for E-Learning Courses: The Role of Student Feedback
6. The name is absent
7. Social Irresponsibility in Management
8. The name is absent
9. Multiple Arrhythmogenic Substrate for Tachycardia in a
10. SAEA EDITOR'S REPORT, FEBRUARY 1988