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Supporting K-5 Learners with Dialogue Systems

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Artificial Intelligence in Education (AIED 2015)

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

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Abstract

Interactive learning environments have been built to support various audiences from preschool to university students. However, it is not yet known how to bring the great promise of tutorial dialogue systems, which engage students in rich natural language, to bear for young learners such as those in grades K-5. This doctoral consortium paper presents our goal of developing a dialogue system in the form of an interactive spoken dialogue agent with embedded assessment to support K-5 students in learning computer science. It discusses the challenges faced so far and how we plan to solve those challenges to bring individualized dialogue systems technology to young learners.

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Author information

Authors and Affiliations

  1. Department of Computer Science, North Carolina State University, Raleigh, NC, USA

    Jennifer Tsan & Kristy Elizabeth Boyer

Authors
  1. Jennifer Tsan
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  2. Kristy Elizabeth Boyer
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Corresponding author

Correspondence to Jennifer Tsan .

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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Tsan, J., Boyer, K.E. (2015). Supporting K-5 Learners with Dialogue Systems. 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_136

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  • DOI: https://doi.org/10.1007/978-3-319-19773-9_136

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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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