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The Efficacy of iSTART Extended Practice: Low Ability Students Catch Up

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Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

iSTART is an Intelligent Tutoring System designed to improve students’ reading comprehension skills. iSTART was the main component in a long term experiment (across a full academic year) with 389 students who completed a pretest, interacted with iSTART for 6 months, and then completed a posttest. A new extended practice module was implemented, which provided students with repeated practice across a variety of texts. Analyses found improvement in performance for all students, and indicate that students’ initial self-explanation abilities may differ, but these abilities improve and converge as a function of practice.

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References

  1. O’Reilly, T., Best, R., McNamara, D.S.: Self-Explanation Reading Training: Effects for Low-Knowledge Readers. In: Forbus, K., Genter, D., Regier, T. (eds.) Proceedings of the Twenty-Sixth Annual Meeting of the Cognitive Science Society, pp. 1053–1058. Erlbaum, Mahwah (2004)

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Author information

Authors and Affiliations

  1. Department of Psychology, University of Memphis, 38152, Memphis, TN

    G. Tanner Jackson & Danielle S. McNamara

  2. Department of Computer Science, Hampton University, 23668, Hampton, VA

    Chutima Boonthum

Authors
  1. G. Tanner Jackson
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  2. Chutima Boonthum
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  3. Danielle S. McNamara
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Editor information

Editors and Affiliations

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

    Vincent Aleven  & Jack Mostow  & 

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

    Judy Kay

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© 2010 Springer-Verlag Berlin Heidelberg

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Jackson, G.T., Boonthum, C., McNamara, D.S. (2010). The Efficacy of iSTART Extended Practice: Low Ability Students Catch Up. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_67

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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