In this paper, we study answers that pre-service teachers gave in an exercise of Geometry. Our purpose is to gain a better understanding of what we call the geometrical working space (espace de travail géAoméAtrique). We first conduct a didactical study based on the notion of geometrical paradigms that leads to a classification of student's answers. Then, we use statistical tools to precise the previous analysis and explain students' evolution during their training.
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© 2008 Springer-Verlag Berlin Heidelberg
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Kuzniak, A. (2008). Personal Geometrical Working Space: a Didactic and Statistical Approach. In: Gras, R., Suzuki, E., Guillet, F., Spagnolo, F. (eds) Statistical Implicative Analysis. Studies in Computational Intelligence, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78983-3_9
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DOI: https://doi.org/10.1007/978-3-540-78983-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78982-6
Online ISBN: 978-3-540-78983-3
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