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International Conference on Artificial Intelligence in Education

AIED 2019: Artificial Intelligence in Education pp 339–343Cite as

Towards Adaptive Hour of Code

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

Abstract

Hour of Code activities became a de facto standard for the first encounter with programming, reaching millions of children every year. These activities are typically not personalized and offer the same sequence of tasks to everybody, which leads to too slow pace for some students, while too fast for others. We aim to improve upon the current state of the art in teaching introductory programming by providing insight into how adaptive learning techniques can make the Hour of Code activities more efficient and engaging.

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Author information

Authors and Affiliations

  1. Masaryk University, Brno, Czech Republic

    Tomáš Effenberger

Authors
  1. Tomáš Effenberger
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Corresponding author

Correspondence to Tomáš Effenberger .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

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Effenberger, T. (2019). Towards Adaptive Hour of Code. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_62

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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