Experience Report of Unplugged Data Science Activities for Children
Abstract
This study presents a Data Science education initiative for children. The objective of this article is to present the development and evaluation of playful activities that address basic Data Science concepts such as estimation, data visualization, pattern recognition, probability, among others. A set of activities was developed in three different formats: everyday curiosities, games and practical activities. A total of 97 children aged 6 to 10 participated in the activities and the results of the evaluations with children revealed that they enjoyed carrying out these activities, understood the concepts and showed interest in learning more about the subject.
Keywords:
data science, children, coding, unplugged
References
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Ângelo Jesus, Goncalves, D., and Ferreira, L. (2014). Aplicação de desenvolvimento de jogos digitais como um meio de motivação em diferentes níveis de ensino de computação. In Anais do XX Workshop de Informática na Escola, pages 56–65, Porto Alegre, RS, Brasil. SBC.
Branco, A., Dutra, C., Zumpichiatti, D., Campos, F. A., SantClair, G., Mello, J., Moreira, J. a. V., Godinho, J., Marotti, J., and Gomide, J. (2021). Programming for children and teenagers in brazil: A 5-year experience of an outreach project. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, SIGCSE ’21, page 411–417, New York, NY, USA. Association for Computing Machinery.
Busuttil, L. and Formosa, M. (2020). Teaching computing without computers: Unplugged computing as a pedagogical strategy. Informatics in Education, 19(4):569–587.
Donoghue, T., Voytek, B., and Ellis, S. E. (2021). Teaching creative and practical data science at scale. Journal of Statistics and Data Science Education, 29(sup1):S27–S39.
Grizioti, M. and Kynigos, C. (2023). Integrating computational thinking and data science: The case of modding classification games. Informatics in Education.
LaMar, T. and Boaler, J. (2021). The importance and emergence of k-12 data science. Phi Delta Kappan, 103(1):49–53.
Lee, V. R., Wilkerson, M. H., and Lanouette, K. (2021). A call for a humanistic stance toward k–12 data science education. Educational Researcher, 50(9):664–672.
Machado, J. and Junior, A. (2019). Utilização de jogos como ferramenta para auxiliar o desenvolvimento do pensamento computacional: uma revisão sistemática. In Anais do XXV Workshop de Informática na Escola, páginas 217–226, Porto Alegre, RS, Brasil. SBC.
Martinez, W. and LaLonde, D. (2020). Data Science for Everyone Starts in Kindergarten: Strategies and Initiatives From the American Statistical Association. Harvard Data Science Review, 2(3). [link].
Pinheiro, J., Godinho, J., Guedes, Y., Cardoso, G., Zumpichiatti, D., and Gomide, J. (2019). Programa(acao): Atividades lúdicas para ensino de programação em escolas públicas. In Anais do XXVII Workshop sobre Educação em Computação, pages 91–100, Porto Alegre, RS, Brasil. SBC.
Srikant, S. and Aggarwal, V. (2017). Introducing data science to school kids. In Procee- dings of the 2017 ACM SIGCSE technical symposium on computer science education, pages 561–566.
Stornaiuolo, A. (2020). Authoring data stories in a media makerspace: Adolescents developing critical data literacies. Journal of the Learning Sciences, 29(1):81–103.
Weiland, T. and Engledowl, C. (2022). Transforming curriculum and building capacity in k–12 data science education.
Ângelo Jesus, Goncalves, D., and Ferreira, L. (2014). Aplicação de desenvolvimento de jogos digitais como um meio de motivação em diferentes níveis de ensino de computação. In Anais do XX Workshop de Informática na Escola, pages 56–65, Porto Alegre, RS, Brasil. SBC.
Published
2024-11-04
How to Cite
TAQUEUTI, Ana Júlia; VILLELA, Flávia; GOMIDE, Janaína; MAROTTI, Jhulian; NAMBA, Maria Eduarda; SANTANA, Laura Emmanuella; NOGUEIRA, Jefferson.
Experience Report of Unplugged Data Science Activities for Children. In: WORKSHOP ON COMPUTING AT SCHOOL (WIE), 30. , 2024, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 341-351.
DOI: https://doi.org/10.5753/wie.2024.242256.
