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Gambling as a Methodological Strategy of Probabilities in University Students

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Applied Technologies (ICAT 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1757))

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Abstract

The article aims to analyze how students, when putting statistical knowledge into practice, can formulate problems applied to games of chance that involve probabilities, as a teaching strategy to promote constructivist learning. The strategy of creating practical spaces with applied problems tries to collect student experiences and the results show students’ understanding of basic concepts of statistics.

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Acknowledgements

Thanks to the teachers, students, classmates and friends who made the development of this research possible.

Author information

Authors and Affiliations

  1. Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas ESPE, Latacunga, Ecuador

    Cristian Roberto Moncayo Espín

  2. Unidad Educativa Rumiñahui, Ambato, Ecuador

    Emilia Daniela Aimacaña Sánchez

Authors
  1. Cristian Roberto Moncayo Espín
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  2. Emilia Daniela Aimacaña Sánchez
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Corresponding author

Correspondence to Emilia Daniela Aimacaña Sánchez .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Miguel Botto-Tobar

  2. Universidad Técnica del Norte, Ibarra, Ecuador

    Marcelo Zambrano Vizuete

  3. Universidad Rey Juan Carlos, Madrid, Spain

    Sergio Montes León

  4. Universidad Técnica Particular de Loja, Loja, Ecuador

    Pablo Torres-Carrión

  5. International University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Benjamin Durakovic

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Moncayo Espín, C.R., Aimacaña Sánchez, E.D. (2023). Gambling as a Methodological Strategy of Probabilities in University Students. In: Botto-Tobar, M., Zambrano Vizuete, M., Montes León, S., Torres-Carrión, P., Durakovic, B. (eds) Applied Technologies. ICAT 2022. Communications in Computer and Information Science, vol 1757. Springer, Cham. https://doi.org/10.1007/978-3-031-24978-5_13

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  • DOI: https://doi.org/10.1007/978-3-031-24978-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24977-8

  • Online ISBN: 978-3-031-24978-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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