Abstract
In the 1990s, handheld technology allowed overcoming infrastructural limitations that had hindered until then the integration of ICT in mathematics education. In this paper, we reflect on this integration of handheld technology from a personal perspective, as well as on the lessons to be learnt from it. The main lesson in our opinion concerns the growing awareness that students’ mathematical thinking is deeply affected by their work with technology in a complex and subtle way. Theories on instrumentation and orchestration make explicit this subtlety and help to design and realise technology-rich mathematics education. As a conclusion, extrapolation of these lessons to a future with mobile multi-functional handheld technology leads to the issues of connectivity and in- and out-of-school collaborative work as major issues for future research.
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Notes
These are also now available on handheld devices.
The wireless connection works between the students’ HHT and the teacher’s PC, not between the students’ HHT, which is certainly a result of institutional constraints: the students are not allowed to communicate during the examinations.
References
Aldon, G., Artigue, M., Bardini, C., Baroux-Raymond, D., Bonnafet, J.-L., Combes, M.-C., et al. (2008). Nouvel environnement technologique, nouvelles ressources, nouveaux modes de travail: Le projet e-CoLab (expérimentation Collaborative de Laboratoires mathématiques). Repères IREM, 72, 51–78.
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, 245–274.
Brousseau, G. (1997). Theory of didactic situations. Dordrecht: Kluwer.
Brown, R. G. (2010). Does the introduction of the graphics calculator into system-wide examinations lead to change in the types of mathematical skills tested? Educational Studies in Mathematics, 73(2), 181–203.
Burril, G., Allison, J., Breaux, G., Kastberg, S., Leatham, K., & Sanchez, W. (Eds.). (2002). Handheld graphing technology in secondary mathematics: Research findings and implications for classroom practice. Dallas, USA: Texas Instruments.
Doerr, H. M., & Zangor, R. (2000). Creating meaning for and with the graphing calculator. Educational Studies in Mathematics, 41, 143–163.
Doorman, M., Drijvers, P., & Kindt, M. (1994). De grafische rekenmachine in het wiskundeonderwijs [The graphic calculators in mathematics education]. Utrecht: Freudenthal Instituut.
Drijvers, P. (1995). Neem de grafiek over … [Copy the graph…]. Nieuwe Wiskrant, tijdschrift voor Nederlands wiskundeonderwijs, 14(4), 29–35.
Drijvers, P. (1998). Assessment and new technologies: Different policies in different countries. The International Journal on Computer Algebra in Mathematics Education, 5(2), 81–93.
Drijvers, P. (1999). Op hoeveel nullen eindigt 1998!? [With how many zeros ends 1998!?]. Euclides, 74, 275–277.
Drijvers, P. (2009). Tools and tests: Technology in national final mathematics examinations. In C. Winslow (Ed.), Nordic research on mathematics education, proceedings from NORMA08 (pp. 225–236). Rotterdam: Sense.
Drijvers, P., & Doorman, M. (1996). The graphics calculator in mathematics education. Journal of Mathematical Behaviour, 14(4), 425–440.
Drijvers, P., Doorman, M., Boon, P., Reed, H., & Gravemeijer, K. (2010). The teacher and the tool: instrumental orchestrations in the technology-rich mathematics classroom. Educational Studies in Mathematics (submitted).
Drijvers, P., Kieran, C., & Mariotti, M. A. (2009). Integrating technology into mathematics education: Theoretical perspectives. In C. Hoyles & J.-B. Lagrange (Eds.), Digital technologies and mathematics teaching and learning: Rethinking the terrain (pp. 89–132). New York: Springer.
Drijvers, P., & Trouche, L. (2008). From artefacts to instruments: A theoretical framework behind the orchestra metaphor. In G. W. Blume & M. K. Heid (Eds.), Research on technology and the teaching and learning of mathematics. Cases and perspectives (Vol. 2, pp. 363–392). Charlotte, NC: Information Age.
Falcade, R., Laborde, C., & Mariotti, M. A. (2007). Approaching functions: Cabri tools as instruments of semiotic mediation. Educational Studies in Mathematics, 66, 317–333.
Gravemeijer, K. (1999). How emergent models may foster the constitution of formal mathematics. Mathematical Thinking and Learning, 1, 155–177.
Gueudet, G., & Trouche, L. (2009). Towards new documentation systems for mathematics teachers? Educational Studies in Mathematics, 71, 199–218.
Guin, D., Ruthven, K., & Trouche, L. (Eds.). (2005). The didactical challenge of symbolic calculators: Turning a computational device into a mathematical instrument. New York: Springer.
Guin, D., & Trouche, L. (1999). The complex process of converting tools into mathematical instruments: The case of calculators. International Journal of Computers for Mathematical Learning, 3, 195–227.
Habgood, M. P. J., Ainsworth, S. E., & Benford, S. (2005). Endogenous fantasy and learning in digital games. Simulation and Gaming, 36(4), 483–498.
Hoyles, C. (2003). From instrumenting and orchestrating convergence to designing and recognising diversity. In Lecture presented at the CAME3 conference, Reims, June 23–24. http://www.lkl.ac.uk/research/came/events/reims/. Accessed 4 Oct 2009.
Hoyles, C., Kalas, I., Trouche, L., Hivon, L., Noss, R., & Wilensky, U. (2009). Connectivity and virtual networks for learning. In C. Hoyles & J.-B. Lagrange (Eds.), Digital technologies and mathematics teaching and learning: Rethinking the terrain (pp. 439–462). New York: Springer.
Hoyles, C., & Noss, R. (2003). What can digital technologies take from and bring to research in mathematics education? In A. J. Bishop, M. A. Clements, C. Keitel, J. Kilpatrick, & F. K. S. Leung (Eds.), Second international handbook of mathematics education (pp. 323–349). Dordrecht: Kluwer.
Kieran, C., & Drijvers, P. (2006). The co-emergence of machine techniques, paper-and-pencil techniques, and theoretical reflection: A study of CAS use in secondary school algebra. International Journal of Computers for Mathematical Learning, 11(2), 205–263.
Kindt, M. (1992a). Functie-onderzoek begint met de grafiek I [Function investigation starts with the graph I]. Euclides, 67, 200–204.
Kindt, M. (1992b). Functie-onderzoek begint met de grafiek II [Function investigation starts with the graph II]. Euclides, 67, 227–230.
Laborde, C., & Capponi, B. (1994). Cabri-géomètre Constituant d’un Milieu pour l’Apprentissage de la Notion de Figure Géométrique. Recherches en Didactique des Mathématiques, 14, 165–210.
Lagrange, J.-B. (1999). Complex calculators in the classroom: Theoretical and practical reflections on teaching pre-calculus. International Journal of Computers for Mathematical Learning, 4, 51–81.
Maschietto, M., & Trouche, L. (2010). Mathematics learning and tools from theoretical, historical and practical points of view: The productive notion of mathematics laboratories. ZDM, 42, 33–47.
Noss, R., & Hoyles, C. (1996). Windows on mathematical meanings. Dordrecht: Kluwer.
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
Parzysz, B. (1988). Knowing vs seeing, problems of the plane representation of space geometry figures. Educational Studies in Mathematics, 19(1), 79–92.
Patton, C. M., Tatar, D., & Dimitriadis, Y. (2008). Trace theory, coordination games and GroupScribbles. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 921–994). New York: Springer.
Rabardel, P. (2002). People and technology—A cognitive approach to contemporary instruments. http://ergoserv.psy.univ-paris8.fr. Accessed 20 Dec 2005.
Roschelle, J. (2003). Unlocking the learning value of wireless mobile devices. Journal of Computer Assisted Learning, 19(3), 260–272.
Ruthven, K. (1990). The influence of graphic calculator use on translation from graphic to symbolic forms. Educational Studies in Mathematics, 21(5), 431–450.
Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal education in a knowledge society (pp. 67–98). Chicago: Open Court.
Sfard, A. (1991). On the dual nature of mathematical conceptions: Reflections on processes and objects as different sides of the same coin. Educational Studies in Mathematics, 22, 1–36.
Tall, D., & Vinner, S. (1981). Concept image and concept definition in mathematics with particular reference to limits and continuity. Educational Studies in Mathematics, 12, 151–169.
Thomas, M. O. J., Wilson, A. J., Corballis, M. C., & Lim, V. K. (2008). Neuropsychological evidence for the role of graphical and algebraic representations in understanding function. In M. Goos, K. Makar, & R. Brown (Eds.), Navigating currents and charting directions, proceedings of the 30th annual conference of the mathematics education research group of Australasia (Vol. 2, pp. 515–521). Brisbane: MERGA Inc.
Trgalova, J., Jahn, A. P., & Soury-Lavergne, S. (2009). Quality process for dynamic geometry resources: the Intergeo project. In V. Durand-Guerrier, S. Soury-Lavergne & F. Arzarello (Eds.), Proceedings of CERME 6 (pp. 1161–1170). Lyon: INRP.
Trouche, L. (1994). Calculatrices graphiques, la grande illusion. Repères IREM, 20, 39–55.
Trouche, L. (1998). Expérimenter et prouver, 38 variations sur un thème imposé [Experimentation and evidence, 38 variations to an imposed theme]. Montpellier: IREM, Université Montpellier 2.
Trouche, L. (2000). La parabole du gaucher et de la casserole à bec verseur: Étude des processus d’apprentissage dans un environnement de calculatrices symboliques [The parable of the left-handed and the skillet: Study on the learning process in a symbolic calculator environment]. Educational Studies in Mathematics, 41, 239–264.
Trouche, L. (2004). Managing complexity of human/machine interactions in computerized learning environments: Guiding students’ command process through instrumental orchestrations. International Journal of Computers for Mathematical Learning, 9, 281–307.
Trouche, L. (2005). Construction et conduite des instruments dans les apprentissages mathématiques: Nécessité des orchestrations. Recherches en didactique des mathématiques, 25, 91–138.
Vergnaud, G. (1996). Au fond de l’apprentissage, la conceptualisation. In R. Noirfalise & M.-J. Perrin (Eds.), Actes de l’école d’été de didactique des mathématiques (pp. 174–185). Clermont-Ferrand: IREM, Université Clermont-Ferrand 2.
Weigand, H.-G. (1989). Über die Anzahl der Endnullen bei n!. Praxis der Mathematik, 31, 343–349.
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Trouche, L., Drijvers, P. Handheld technology for mathematics education: flashback into the future. ZDM Mathematics Education 42, 667–681 (2010). https://doi.org/10.1007/s11858-010-0269-2
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DOI: https://doi.org/10.1007/s11858-010-0269-2