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Basic Geo-Spatial Data Literacy Education for Economic Applications

Geospatial data literacy is of paramount importance in an increasingly digital business world. Especially in economic decision-making processes, the ability to judge the trustworthiness of pertinent data sets is inevitable for reliable decisions. Thus, geospatial competencies need to supplement the...

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Autores principales: Juergens, Carsten, Redecker, Andreas P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079152/
https://www.ncbi.nlm.nih.gov/pubmed/37361712
http://dx.doi.org/10.1007/s42489-023-00135-9
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author Juergens, Carsten
Redecker, Andreas P.
author_facet Juergens, Carsten
Redecker, Andreas P.
author_sort Juergens, Carsten
collection PubMed
description Geospatial data literacy is of paramount importance in an increasingly digital business world. Especially in economic decision-making processes, the ability to judge the trustworthiness of pertinent data sets is inevitable for reliable decisions. Thus, geospatial competencies need to supplement the university’s teaching syllabus of economic degree programmes. Even if these programmes already have a lot of content, it is worth adding geospatial topics to educate students as skilled young experts, being geospatially literate. This contribution shows an approach on how to sensitise students and teachers with an economics background to understand the origin of geospatial data sets, their specific nature, their quality and how to gain geospatial data sets with a particular focus on sustainable economics applications. It proposes a teaching approach for educating students on geospatial characteristics of data, making them aware of spatial reasoning and spatial thinking. Especially it is vital to give them an impression of the manipulating nature of maps and geospatial visualisations. The aim is to show them the power of geospatial data and map products for research in their specific thematic field. The presented teaching concept originates from an interdisciplinary data literacy course geared to students other than geospatial sciences. It incorporates elements of a flipped classroom and a self-learning tutorial. This paper shows and discusses the results of the implementation of the course. Positive exam results imply that the teaching concept provides a suitable way to impart geospatial competencies to students belonging other than geo-related subjects.
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spelling pubmed-100791522023-04-07 Basic Geo-Spatial Data Literacy Education for Economic Applications Juergens, Carsten Redecker, Andreas P. KN J Cartogr Geogr Inf Orginial Article Geospatial data literacy is of paramount importance in an increasingly digital business world. Especially in economic decision-making processes, the ability to judge the trustworthiness of pertinent data sets is inevitable for reliable decisions. Thus, geospatial competencies need to supplement the university’s teaching syllabus of economic degree programmes. Even if these programmes already have a lot of content, it is worth adding geospatial topics to educate students as skilled young experts, being geospatially literate. This contribution shows an approach on how to sensitise students and teachers with an economics background to understand the origin of geospatial data sets, their specific nature, their quality and how to gain geospatial data sets with a particular focus on sustainable economics applications. It proposes a teaching approach for educating students on geospatial characteristics of data, making them aware of spatial reasoning and spatial thinking. Especially it is vital to give them an impression of the manipulating nature of maps and geospatial visualisations. The aim is to show them the power of geospatial data and map products for research in their specific thematic field. The presented teaching concept originates from an interdisciplinary data literacy course geared to students other than geospatial sciences. It incorporates elements of a flipped classroom and a self-learning tutorial. This paper shows and discusses the results of the implementation of the course. Positive exam results imply that the teaching concept provides a suitable way to impart geospatial competencies to students belonging other than geo-related subjects. Springer International Publishing 2023-04-06 /pmc/articles/PMC10079152/ /pubmed/37361712 http://dx.doi.org/10.1007/s42489-023-00135-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Orginial Article
Juergens, Carsten
Redecker, Andreas P.
Basic Geo-Spatial Data Literacy Education for Economic Applications
title Basic Geo-Spatial Data Literacy Education for Economic Applications
title_full Basic Geo-Spatial Data Literacy Education for Economic Applications
title_fullStr Basic Geo-Spatial Data Literacy Education for Economic Applications
title_full_unstemmed Basic Geo-Spatial Data Literacy Education for Economic Applications
title_short Basic Geo-Spatial Data Literacy Education for Economic Applications
title_sort basic geo-spatial data literacy education for economic applications
topic Orginial Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079152/
https://www.ncbi.nlm.nih.gov/pubmed/37361712
http://dx.doi.org/10.1007/s42489-023-00135-9
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