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Title:
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COMPUTATIONAL TECHNIQUES FOR DATA SCIENCE
APPLIED TO BROADEN THE KNOWLEDGE BETWEEN
CITIZEN SCIENCE AND EDUCATION |
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Author(s):
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Miriam Calvera-Isabal, Nuria Varas and Patricia Santos |
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ISBN:
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978-989-8704-33-7 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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219 |
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Last Page:
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226 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes a preliminary study of how computational methods allow us to know more about citizen science and
its connection with education. Citizen science is a practice involving a general public in scientific tasks and generating
knowledge and scientific results. Previous studies have shown that the education sector can take benefit of the knowledge
and activities organized or resources generated in CS projects. Previous studies have shown that the education sector can
take advantage of the knowledge and activities organized in CS projects. In this papers, we analyze three citizen science
platforms (Eu.Citizen science platform, Observatorio de la ciencia ciudadana and Oficina de la ciència ciutadana) with
computational analytics techniques to provide initial insights of how educators can take benefit of the analysis of large
amounts of data from CS. Finally, different visualizations and dashboards have been developed as illustrative examples of
tools to support educators and learners. These tools provide information about citizen science projects, an overview of
scientific vocabulary, access to validated resources and examples of technology used in scientific inquiry that can be used
with educational purposes. |
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