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Eliciting Intelligent Novice Behaviors with Grounded Feedback in a Fraction Addition Tutor

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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

Standard intelligent tutoring systems give immediate feedback on whether students’ answers are correct. This prevents unproductive floundering, but may also prevent students from engaging deeply with their misconceptions. This paper presents a prototype intelligent tutoring system with grounded feedback that supports students in evaluating and correcting their own errors. In a think-aloud study with five fifth-graders, students used the grounded feedback to self-correct, and solved more fraction addition problems with the tutor than with paper and pencil. These preliminary results are encouraging and motivate experimental work in this area.

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Author information

Authors and Affiliations

  1. Human Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA

    Eliane Stampfer, Yanjin Long, Vincent Aleven & Kenneth R. Koedinger

Authors
  1. Eliane Stampfer
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  2. Yanjin Long
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  3. Vincent Aleven
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  4. Kenneth R. Koedinger
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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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Stampfer, E., Long, Y., Aleven, V., Koedinger, K.R. (2011). Eliciting Intelligent Novice Behaviors with Grounded Feedback in a Fraction Addition Tutor. 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_101

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_101

  • 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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