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Towards a Physical and Personal Math Coin Tutoring System

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Artificial Intelligence in Education (AIED 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

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Abstract

Many elementary mathematics teachers believe that learning improves significantly when students are instructed with physical objects such as coins, called manipulatives. Unfortunately, teaching with manipulatives is a time consuming process that is best with personalized 1-to-1 tutoring. In this paper, we explore the research challenges and solutions of an automated physical and personal tutoring solution.

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References

  1. Butko, N., Theocharous, G., Philipose, M., Movellan, J.: Automated facial affect analysis for one-on-one tutoring applications. In: IEEE International Conference on Automatic Face and Gesture Recognition (2011)

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  3. Piaget, J., Szeminska, A.: The Childs Conception of Number. W. W. Norton Co., New York (1941)

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  4. Theocharous, G., Butko, N., Philipose, M.: Designing a mathematical manipulatives tutoring system using POMDPs. In: POMDP Practitioners Workshop: Solving Real-world POMDP Problems, ICAPS (2010)

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Author information

Authors and Affiliations

  1. Intel Labs, USA

    Georgios Theocharous, Nicholas Butko & Matthai Philipose

Authors
  1. Georgios Theocharous
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  2. Nicholas Butko
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  3. Matthai Philipose
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Editor information

Editors and Affiliations

  1. EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA

    Gautam Biswas

  2. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

  3. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

  4. College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand

    Antonija Mitrovic

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© 2011 Springer-Verlag Berlin Heidelberg

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Theocharous, G., Butko, N., Philipose, M. (2011). Towards a Physical and Personal Math Coin Tutoring System. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_104

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_104

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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