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International Conference on Artificial Intelligence in Education

AIED 2015: Artificial Intelligence in Education pp 840–843Cite as

Developing Self-regulated Learners Through an Intelligent Tutoring System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9112))

Abstract

Intelligent tutoring systems have been developed to help students learn independently. However, students who are poor self-regulated learners often struggle to use these systems because they lack the skills necessary to learn independently. The field of psychology has extensively studied self-regulated learning and can provide strategies to improve learning, however few of these include the use of technology. The present proposal reviews three elements of self-regulated learning (motivational beliefs, help-seeking behavior, and meta-cognitive self-monitoring) that are essential to intelligent tutoring systems. Future research is suggested, which address each element in order to develop self-regulated learning strategies in students while they are engaged in learning mathematics within an intelligent tutoring system.

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Author information

Authors and Affiliations

  1. Worcester Polytechnic Institute, Worcester, MA, USA

    Kim Kelly & Neil Heffernan

Authors
  1. Kim Kelly
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  2. Neil Heffernan
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Corresponding author

Correspondence to Kim Kelly .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, British Columbia, Canada

    Cristina Conati

  2. Computer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

    Neil Heffernan

  3. Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand

    Antonija Mitrovic

  4. E.T.S.I. Informática, Universidad National de Educacion a Distancia, Madrid, Spain

    M. Felisa Verdejo

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© 2015 Springer International Publishing Switzerland

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Kelly, K., Heffernan, N. (2015). Developing Self-regulated Learners Through an Intelligent Tutoring System. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_128

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  • DOI: https://doi.org/10.1007/978-3-319-19773-9_128

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19772-2

  • Online ISBN: 978-3-319-19773-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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