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dc.contributor.author
Velez Rueda, Ana Julia  
dc.contributor.author
Benítez, Guillermo Ignacio  
dc.contributor.author
Marchetti, Julia  
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Hasenahuer, Marcia Anahí  
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Fornasari, Maria Silvina  
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Palopoli, Nicolás  
dc.contributor.author
Parisi, Gustavo Daniel  
dc.date.available
2020-11-11T19:15:45Z  
dc.date.issued
2019-02  
dc.identifier.citation
Velez Rueda, Ana Julia; Benítez, Guillermo Ignacio; Marchetti, Julia; Hasenahuer, Marcia Anahí; Fornasari, Maria Silvina; et al.; Bioinformatics calls the school: Use of smartphones to introduce python for bioinformatics in high schools; Public Library of Science; Plos Computational Biology; 15; 2; 2-2019; 1-09  
dc.identifier.issn
1553-734X  
dc.identifier.uri
http://hdl.handle.net/11336/118194  
dc.description.abstract
The dynamic nature of technological developments invites us to rethink the learning spaces. In this context, science education can be enriched by the contribution of new computational resources, making the educational process more up-to-date, challenging, and attractive. Bioinformatics is a key interdisciplinary field, contributing to the understanding of biological processes that is often underrated in secondary schools. As a useful resource in learning activities, bioinformatics could help in engaging students to integrate multiple fields of knowledge (logical-mathematical, biological, computational, etc.) and generate an enriched and long-lasting learning environment. Here, we report our recent project in which high school students learned basic concepts of programming applied to solving biological problems. The students were taught the Python syntax, and they coded simple tools to answer biological questions using resources at hand. Notably, these were built mostly on the students’ own smartphones, which proved to be capable, readily available, and relevant complementary tools for teaching. This project resulted in an empowering and inclusive experience that challenged differences in social background and technological accessibility.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Public Library of Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BIOINFORMATICS  
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SECONDARY SCHOOL  
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PYTHON  
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Ciencias de la Información y Bioinformática  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
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Educación General  
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Ciencias de la Educación  
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CIENCIAS SOCIALES  
dc.title
Bioinformatics calls the school: Use of smartphones to introduce python for bioinformatics in high schools  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-11-11T12:33:15Z  
dc.journal.volume
15  
dc.journal.number
2  
dc.journal.pagination
1-09  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
San Francisco  
dc.description.fil
Fil: Velez Rueda, Ana Julia. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Benítez, Guillermo Ignacio. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Marchetti, Julia. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Hasenahuer, Marcia Anahí. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Palopoli, Nicolás. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Parisi, Gustavo Daniel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Plos Computational Biology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pcbi.1006473  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006473