Experiential learning in Data Science: from the dataset repository to the platform of experiences

Serrano Fernández, Emilio and Molina González, Martín and Manrique Gamo, Daniel and Baumela Molina, Luis (2017). Experiential learning in Data Science: from the dataset repository to the platform of experiences. In: "13th International Conference on Intelligent Environments (IE'17)", Aug 2017, Seul, Corea. ISBN 978-1-61499-796-2. pp. 1-9. https://doi.org/10.3233/978-1-61499-796-2-122.

Description

Title: Experiential learning in Data Science: from the dataset repository to the platform of experiences
Author/s:
  • Serrano Fernández, Emilio
  • Molina González, Martín
  • Manrique Gamo, Daniel
  • Baumela Molina, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: 13th International Conference on Intelligent Environments (IE'17)
Event Dates: Aug 2017
Event Location: Seul, Corea
Title of Book: Intelligent environments 2017: Workshop proceedings of the 13th Conference on Intelligent Environments
Date: 2017
ISBN: 978-1-61499-796-2
Volume: 22
Subjects:
Freetext Keywords: Active learning; Experiential learning; Poject based learning; Datascience; Deep learning
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Data science is a revolution that is already changing the way we do business, healthcare, politics, education and innovation. There is a great variety of online courses, masters, degrees, and modules that address the teaching of this interdisciplinary field, where is a growing demand of professionals. However, data science pedagogy has repeated a number of patterns that can be detrimental to the student. This position paper describes an ongoing educational innovation Project for the study of methods, experiences, and tools for experiential learning in data sicience. In this approach, the student learns through reflection on doing instead of being a recipient of already made content.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTIN2016-78011-C4-4-RUnspecifiedUniversidad Politécnica de MadridDatos 4.0: Retos y soluciones

More information

Item ID: 50296
DC Identifier: http://oa.upm.es/50296/
OAI Identifier: oai:oa.upm.es:50296
DOI: 10.3233/978-1-61499-796-2-122
Official URL: http://ebooks.iospress.nl/volumearticle/47222
Deposited by: Memoria Investigacion
Deposited on: 06 Feb 2019 15:45
Last Modified: 06 Feb 2019 15:45
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