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The Web Geometry Laboratory Project

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Intelligent Computer Mathematics (CICM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7961))

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Abstract

The Web Geometry Laboratory (WGL) project’s goal is to build an adaptive and collaborative blended-learning Web-environment for geometry.

In its current version (1.0) the WGL is already a collaborative blended-learning Web-environment integrating a dynamic geometry system (DGS) and having some adaptive features. All the base features needed to implement the adaptive module and to allow the integration of a geometry automated theorem prover (GATP) are also already implemented.

The actual testing of the WGL platform by high-school teachers is underway and a field-test with high-school students is being prepared.

The adaptive module and the GATP integration will be the next steps of this project.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, CISUC, University of Coimbra, 3001-454, Coimbra, Portugal

    Pedro Quaresma

  2. CISUC, 3001-454, Coimbra, Portugal

    Vanda Santos

  3. Innov’Com, University of Carthage, Tunisia

    Seifeddine Bouallegue

Authors
  1. Pedro Quaresma
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  2. Vanda Santos
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  3. Seifeddine Bouallegue
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Editor information

Editors and Affiliations

  1. Computing and Software, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, ON, Canada

    Jacques Carette

  2. School of Informatics, University of Edinburgh, 10 Crichton Street, EH8 9AB, Edinburgh, Scotland, UK

    David Aspinall

  3. School of Computer Science, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK

    Christoph Lange

  4. Faculty of Informatics, Department of Computer Graphics and Design, Masaryk University, Botanická 68a, 60200, Brno, Czech Republic

    Petr Sojka

  5. Johannes Kepler University Linz (JKU), RISC, Altenberger Strasse 69, 4040, Linz, Austria

    Wolfgang Windsteiger

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© 2013 Springer-Verlag Berlin Heidelberg

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Quaresma, P., Santos, V., Bouallegue, S. (2013). The Web Geometry Laboratory Project. In: Carette, J., Aspinall, D., Lange, C., Sojka, P., Windsteiger, W. (eds) Intelligent Computer Mathematics. CICM 2013. Lecture Notes in Computer Science(), vol 7961. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39320-4_30

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  • DOI: https://doi.org/10.1007/978-3-642-39320-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39319-8

  • Online ISBN: 978-3-642-39320-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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