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Personal Geometrical Working Space: a Didactic and Statistical Approach

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Statistical Implicative Analysis

Part of the book series: Studies in Computational Intelligence ((SCI,volume 127))

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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