Abstract
In order to foster interest in machine learning among young people, presented are simple and effective ways to engage kids using sensors on their own bodies.
- Shapiro, R. B., Fiebrink, R., Norvig, P. How machine learning impacts the undergraduate computing curriculum. Communications of the ACM 61, 11 (2018), 27--29. Google ScholarDigital Library
- Fiebrink, R., Cook, P. R., and Trueman, D. Human model evaluation in interactive supervised learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, 2011, 147--156. Google ScholarDigital Library
- Ericsson, K. A. The influence of experience and deliberate practice on the development of superior expert performance. The Cambridge Handbook of Expertise and Expert Performance. 2006.Google Scholar
- Lee, V. R., Drake, J. R., Cain, R., and Thayne, J. Opportunistic uses of the traditional school day through student examination of Fitbit activity tracker data. In Proceedings of the 14<sup>th</sup> International Conference on Interaction Design and Children (IDC '15). ACM, New York, 2015, 209--218. Google ScholarDigital Library
- Nasir, N. S., and Hand, V. From the court to the classroom: Opportunities for engagement, learning, and identity in basketball and classroom mathematics. Journal of the Learning Sciences 17, 2 (2008), 143--179.Google ScholarCross Ref
- National Governors Association Center for Best Practices, C. o. C. S. S. O. Common Core Science Standards. National Governors Association Center for Best Practices, Council of Chief State School, 2010.Google Scholar
- States, N. L. Next Generation Science Standards: For States, By States. The National Academies Press, 2013.Google Scholar
- O'Rourke, C., Madden, M. Activity Recognition based on accelerometer data using dynamic time warping with ensembles. In Proceedings of AICS-2011, the 22<sup>nd</sup> Conference on Artificial Intelligence and Cognitive Science. 2011.Google Scholar
Index Terms
- Sports and machine learning: How young people can use data from their own bodies to learn about machine learning
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