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A student model in numerical analysis for an actual engineering student

  • Posters on Applications in Science and Engineering
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Computer Aided Learning and Instruction in Science and Engineering (CALISCE 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1108))

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Abstract

All ITS need to have the ability to represent student, domain and professor and to set up all the relations that produce the teaching-learning situation. The kind of contents we want to teach are procedural. We use a technique in which we show a problem to solve and alternative answers.After the student choice,the next step for the learning is fixed.

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References

  1. Kono, Y., Ikeda, M. and Mizoguchi, R.: A Nonmonotonic inductive Student Modeling System. J.Artificial Intelligence in Education. 5 (1994)

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  2. Grumbach A.: Cognition Artificielle Addison-Wesley France (1994)

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  3. Huapaya C., Arona G. Towards an Intelligent Tutorial System in differential equations. AI-ED 95 7th. World Conference on Artificial Intelligence in Education.

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Arantza DĂ­az de Ilarraza SĂ¡nchez Isabel FernĂ¡ndez de Castro

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© 1996 Springer-Verlag Berlin Heidelberg

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Huapaya, C., Arona, G. (1996). A student model in numerical analysis for an actual engineering student. In: DĂ­az de Ilarraza SĂ¡nchez, A., FernĂ¡ndez de Castro, I. (eds) Computer Aided Learning and Instruction in Science and Engineering. CALISCE 1996. Lecture Notes in Computer Science, vol 1108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022645

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  • DOI: https://doi.org/10.1007/BFb0022645

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61491-3

  • Online ISBN: 978-3-540-68675-0

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