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Development of a Workshop About Artificial Intelligence for Schools

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 771))

Abstract

In this article, a workshop about basic artificial intelligence (AI) concepts for high school students is presented, where basic concepts of these algorithms are explained and practised using simple software tools. The aim of this activity is to proportionate a clear idea about the simple rules of AI and enhance the social trust of science since early ages.

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References

  1. Arimoto, T., Sato, Y.: Rebuilding public trust in science for policy-making. Science 337(6099), 1176–1177 (2012)

    Article  Google Scholar 

  2. Haerlin, B., Parr, D.: How to restore public trust in science. Nature 400(6744), 499 (1999)

    Article  Google Scholar 

  3. MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, pp. 281–297. University of California Press, Berkeley (1967)

    Google Scholar 

  4. McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5(4), 115–133 (1943)

    Article  MathSciNet  Google Scholar 

  5. Nielsen, M.A.: Neural Networks and Deep Learning. Determination Press (2015)

    Google Scholar 

  6. OECD: Scientific advice for policy making: The role and responsibility of expert bodies and individual scientists. Technical Report 21, OECD Science, Technology and Industry Policy Papers (2015)

    Google Scholar 

  7. Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B., et al.: Scratch: programming for all. Commun. ACM 52(11), 60–67 (2009)

    Article  Google Scholar 

  8. Rosenblatt, F.: The perceptron: a probabilistic model for information storage and organization in the brain. Psychol. Rev. 65(6), 386 (1958)

    Article  Google Scholar 

  9. Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., et al.: Artificial intelligence and life in 2030. In: One Hundred Year Study on Artificial Intelligence: Report of the 2015–2016 Study Panel (2016)

    Google Scholar 

  10. Woodford, C.: How neural networks work-a simple introduction (2016)

    Google Scholar 

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Correspondence to J. Estevez .

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Estevez, J., Elizetxea, X., Garate, G. (2019). Development of a Workshop About Artificial Intelligence for Schools. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_51

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