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Child-Friendly Programming Interfaces to AI Cloud Services

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Data Driven Approaches in Digital Education (EC-TEL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10474))

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Abstract

AI cloud services are available for speech synthesis, speech recognition, image and video recognition, text analysis, and machine learning. School students could use these services in a wide variety of programming projects including voice commands to robots, chatbots, audio games, and vision-based robotics. In doing so they may learn about perception, language, psychology, and the latest empowering technologies. A major obstacle to using these services in schools is that they are technically complex APIs beyond the ability of most school students. The challenge addressed in this paper is how to provide interfaces that are much easier to use and yet still supports most of the functionality of these AI services. We describe the addition of new programming blocks to the Snap! visual programming language [1] that provide easy-to-use interfaces to these services. We have developed new blocks for speech input and output and image recognition. Learning materials have been developed and preliminarily trialed with a small number of children.

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References

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Acknowledgement

These programs are available at tinyurl.com/ai-snap-demos. This research was supported by the eCraft2Learn project [6] funded by the European Union’s Horizon 2020 Coordination & Research and Innovation Action under Grant Agreement No 731345.

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Authors and Affiliations

  1. Department of Education, University of Oxford, 15 Norham Gardens, Oxford, OX2 6PY, UK

    Ken Kahn & Niall Winters

Authors
  1. Ken Kahn
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  2. Niall Winters
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Corresponding author

Correspondence to Ken Kahn .

Editor information

Editors and Affiliations

  1. Jean Moulin Lyon 3 University, Lyon, France

    Élise Lavoué

  2. German Institute for International Educational Research, Goethe University, Frankfurt, Germany

    Hendrik Drachsler

  3. KU Leuven, Leuven, Belgium

    Katrien Verbert

  4. University of Toulouse, Toulouse, France

    Julien Broisin

  5. Pontificia Universidad, Santiago de Chile, Chile

    Mar Pérez-Sanagustín

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Kahn, K., Winters, N. (2017). Child-Friendly Programming Interfaces to AI Cloud Services. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_64

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  • DOI: https://doi.org/10.1007/978-3-319-66610-5_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66609-9

  • Online ISBN: 978-3-319-66610-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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