Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming-Reference-Cited by-同舟云学术

Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming

Published:2016 Issue: Volume: Page:
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Container-title:Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16
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Author:

Taraghi Behnam¹,Saranti Anna¹,Legenstein Robert¹,Ebner Martin¹

Affiliation:

1. Graz University of Technology, Graz, Austria

Publisher

ACM Press

Reference25 articles.

1. D. Barber.Bayesian Reasoning and Machine Learning. Cambridge University Press, The Edinburgh Building, Cambridge, United Kingdom, 2012.

2. C. Bishop.Pattern Recognition and Machine Learning. Springer, 2006.

3. J. I. Campbell. Mechanisms of simple addition and multiplication: A modified network-interference theory and simulation.Mathematical Cognition, 1(2):121--164, January 1995.

4. K. Chrysafiadi and M. Virvou. Student modeling approaches: A literature review for the last decade.Expert Systems with Applications, 40(11):4715--4729, September 2013.

5. G. Goguadze, S. A. Sosnovsky, S. Isotani, and B. M. McLaren. Evaluating a bayesian student model of decimal misconceptions. InProceedings of the 4th International Conference on Educational Data Mining, pages 301--306, July 2011.

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