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Preliminary Evaluations of AMBRE-KB, an Authoring Tool to Elicit Knowledge to Be Taught Without Programming

  • Awa DiattaraEmail author
  • Nathalie Guin
  • Vanda Luengo
  • Amélie Cordier
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 865)

Abstract

This paper describes the design and preliminary evaluations of AMBRE-KB. The goal of this authoring tool is to assist authors to elicit knowledge needed to design AMBRE ITSs without any programming. Such ITS enable learners to acquire a specific method in problem-solving. AMBRE-KB is based on meta-models of knowledge to be acquired. It supports the acquisition of knowledge to be taught, and the description of problems to be solved. At the end of the knowledge elicitation process, it enables the author to have a feedback about the process by testing the resolution of problems described. We present the authoring process and the evaluations made in four domains: resolution of equations (1st and 2nd degree), the calculation of areas of geometric shapes, the plural of French nouns and the formation of French adverbs ending with ‘ment’.

Keywords

Authoring tool Knowledge acquisition Problem solving methods Intelligent Tutoring Systems 

Notes

Acknowledgements

All thanks to Auvergne-Rhône Alpes region for supporting this thesis work.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Awa Diattara
    • 1
    • 2
    Email author
  • Nathalie Guin
    • 1
  • Vanda Luengo
    • 3
    • 4
  • Amélie Cordier
    • 1
  1. 1.Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR 5205LyonFrance
  2. 2.Univ. Grenoble Alpes, LIGGrenobleFrance
  3. 3.Sorbonne Université, UPMC Université Paris 6ParisFrance
  4. 4.CNRS, UMR 7606, LIP6ParisFrance

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