Augmented reality as a tool for learning about flora and fauna in the Magdalena medio
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Keywords

Knowledge
flora
fauna
conservation
environmental
thought Conocimiento
flora
fauna
conservació
ambiental
pensamiento

How to Cite

Salinas Ramírez, J. A., & Tunarrosa Echeverría, E. M. (2022). Augmented reality as a tool for learning about flora and fauna in the Magdalena medio. Revista Sennova: Revista Del Sistema De Ciencia, Tecnología E Innovación. https://doi.org/10.23850/23899573.5364

Abstract

Technology is in constant development and has always addressed human dynamics influencing the way in which the world is seen, known, learned and perceived, therefore, among the most recent technological developments since the advances in technology and new tools that facilitate human activities, augmented reality stands out as one of those tools implemented as a strategy for learning diversity of knowledge areas. The objective of this work was the implementation of a tool that integrates ICTs with the human perception of reality, thus allowing to improve the learning processes of environmental education from the recognition of the flora and fauna species present in the municipality of Puerto Boyacá. . For this, field trips were carried out for the sighting and photographic recording of various species, which served as input for the development of a pilot test of the tool applied to training apprentices within the SENA-Regional Caldas Livestock and Agribusiness Center, obtaining As a result, the apprentices will interact with the flora and fauna characteristic of the territory, learning about natural history and expanding their knowledge about the local distribution of these species and keeping in mind the augmented reality used as a learning strategy, makes people perceive elements of the environment and biodiversity, which in some cases are not within their reach, associating data and information with them, which allow them to broaden their knowledge, develop questions, problematize environmental realities and complement learning dynamics.

https://doi.org/10.23850/23899573.5364
PDF (Español (España))
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Copyright (c) 2022 Revista Sennova: Revista del Sistema de Ciencia, Tecnología e Innovación

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