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IJIET 2018 Vol.8(3): 178-185 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.3.1030

Geovisual Analytics in School: Challenges for the Didactic Design of the Classroom

Linnéa Stenliden

Abstract—This paper aims to determine the distribution of problem spaces in learning activities, when geovisual analytics is introduced into social science education. We know that various dimensions of complexity emerge in learning activities including this kind of technology. This paper clarifies the features of the problem spaces in such activities. The study was conducted in three middle schools in Sweden, in four social science classes with students aged 10 to 13 years. The specific geovisual analytics platform used was Statistics eXplorer. The learning activities were followed for two to four weeks at each school using video observations. Drawing on actor–network theory, we conducted material discursive analyses of the learning activities. The geovisual analytics generally support student understandings, but the didactic design of the classroom was not completely supportive. Six central aspects were found in the distribution of problem spaces within the learning activities. Novel approaches to pedagogy and teaching employing geovisual analytics could benefit students’ knowledge building as they work with visualized data.

Index Terms—Geovisual analytics, visual data, statistics, visual storytelling, problem spaces, pedagogy, instruction, analytical reasoning.

L. Stenliden is with the Department of Social and Welfare Studies at Linköping University, Sweden (e-mail: linnea.stenliden@liu.se).


Cite: Linnéa Stenliden, "Geovisual Analytics in School: Challenges for the Didactic Design of the Classroom," International Journal of Information and Education Technology vol. 8, no. 3, pp. 178-185, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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