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Article . 2010 . Peer-reviewed
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Pensamiento variacional: seres-humanos-con-GeoGebra en la visualización de nociones variacionales

Authors: Villa Ochoa, Jhony Alexander; Ruiz Vahos, Héctor Mauricio;

Pensamiento variacional: seres-humanos-con-GeoGebra en la visualización de nociones variacionales

Abstract

RESUMEN: En este artículo mostramos cómo a través de la interacción de un colectivo de investigadores con el software GeoGebra surgieron algunas ideas para el diseño de estrategias que potencian el desarrollo del pensamiento variacional. Usamos el constructo teórico de seres-humanos-conmedios propuesto por Borba y Villarreal (2005) para analizar dos episodios de nuestra experiencia como investigadores. Desde dicho análisis pudimos observar cómo a través de las necesidades de la investigación se pudieron crear algunas “herramientas” del software, que a su vez permitieron estudiar, establecer y demostrar nuevas conjeturas acerca de algunos conceptos matemáticos.

ABSTARCT: Neste artigo apresentamos como, por meio da interação entre um coletivo de investigadores com o software GeoGebra, surgiram algumas ideias para o desenho de estratégias que potencializam o desenvolvimento do pensamento variacional. Usamos a construção teórica de seres-humanos-com-mídias proposta por Borba e Villarreal (2005) para analisar dois episódios de nossa experiência como investigadores. Desta análise pudemos observar como por meio das necessidades da investigação foi possível gerar “ferramentas” do software, que por sua vez permitiram estudar, estabelecer e demonstrar novas conjecturas de alguns conceitos matemáticos.

COL0053803

COL0004139

Country
Colombia
Keywords

Investigadores, Razonamiento, Comprensión, Researchers, Conceptos matemáticos, 510, Visualización, software GeoGebra, http://vocabularies.unesco.org/thesaurus/concept6822, Software, Visualization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green