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How Can We Study Learning with Geovisual Analytics Applied to Statistics?
Linköping University, Department of Social and Welfare Studies, Learning, Aesthetics, Natural science. Linköping University, Faculty of Arts and Sciences. (Pedagogiskt arbete)ORCID iD: 0000-0002-3115-9060
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Nationellt centrum för visuell analys)
2012 (English)In: Future Internet, ISSN 1999-5903, E-ISSN 1999-5903, Vol. 4, no 1, 22-41 p.Article in journal (Refereed) Published
Abstract [en]

It is vital to understand what kind of processes for learning that Geovisual Analytics creates, as certain activities and conditions are produced when employing Geovisual Anlytic tools in education. To understand learning processes created by Geovisual Analytics, first requires an understanding of the interactions between the technology, the workplace where the learning takes place, and learners’ specific knowledge formation. When studying these types of interaction it demands a most critical consideration from theoretical perspectives on research design and methods. This paper first discusses common, and then a more uncommon, theoretical approach used within the fields of learning with multimedia environments and Geovisual Analytics, the socio-cultural theoretical perspective. The paper next advocates this constructivist theoretical and empirical perspective when studying learning with multiple representational Geovisual Analytic tools. To illustrate, an outline of a study made within this theoretical tradition is offered. The study is conducted in an educational setting where the Open Statistics eXplorer platform is used. Discussion of our study results shows that the socio-cultural perspective has much to offer in terms of what kind of understanding can be reached in conducting this kind of studies. Therefore, we argue that empirical research to analyze how specific communities use various Geovisual Analytics to evaluate information is best positioned in a socio-cultural theoretical perspective.(This article belongs to the Special Issue Geovisual Analytics)

Place, publisher, year, edition, pages
2012. Vol. 4, no 1, 22-41 p.
Keyword [en]
Geovisual Analytics; geovisualization; multiple representations; multimedia learning environment; learning studies; socio-cultural theoretical perspective; empirical methods
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:liu:diva-92567DOI: 10.3390/fi4010022OAI: oai:DiVA.org:liu-92567DiVA: diva2:620978
Available from: 2013-05-13 Created: 2013-05-13 Last updated: 2017-12-06Bibliographically approved
In thesis
1. Visual Storytelling Interacting in School: Learning Conditions in the Social Science Classroom
Open this publication in new window or tab >>Visual Storytelling Interacting in School: Learning Conditions in the Social Science Classroom
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Visual storytelling interagerar i skolan : Lärandevillkor i klassrum med samhällsorienterad undervisning
Abstract [en]

The aim of this compilation thesis is to understand how technology for visual storytelling can be shaped and used in relation to social science education in primary school, but also how social dimensions, technical and other matters create emerging learning conditions in such an educational setting. The visual storytelling technology introduced and used in the study is ‘the Statistics eXplorer platform, a geovisual analytics. The choice of theoretical perspectives to inform and guide the study is a socio-cultural view of human action, but also actor network theory is used to take account also of activities of technology and other matters. The study builds on three empirical materials that generate data from 16 social science teachers, and 126 students from five social science classrooms, in three Swedish primary schools. It contains field notes from the introduction of the technology; focusgroup interviews with teachers; think-aloud interviews with students and two kinds of video recordings from the classrooms (with an ordinary video camera and with software that capture activities at the computer screen, students’ activities and the audio as well). The analysis shows that the visual storytelling technology is shaped in relevant ways for social science teachers. The analysis also illustrates that the visual educational material are usable for primary school students in their social science education. They illustrate further how teachers, students, technology, information, tasks, data types, etc. together and in in close relation create highly complex learning conditions. The technology can therefore be seen as appropriate for the educational practice, but the complexity together with students’ apprehension of how to announce knowledge distribute severe problem spaces in the learning activities. The technology can therefore be assumed as a catalyst for educational change, but to achieve its potentials, reflections on didactic design and knowledge formation is requested to support the quality of students’ knowledge in relation to visual analysis.

Abstract [sv]

Syftet i denna avhandling är, att förstå hur teknik för visual storytelling kan vara utformad och användas i relation till samhällsorienterande undervisning i grundskolan (årskurs 4 – 6), men också hur sociala dimensioner, tekniska och andra faktorer skapar villkor för lärande i ett sådant undervisningssammanhang. I studien introduceras datavisualiseringsteknik för visual storytelling: ‘the Statistics eXplorer platform’, ett geovisual analytics. Den teoretiska referensramen har sin grund i ett social konstruktionistiskt synsätt Ett socio-kulturellt perspektiv används för att analysera social aktivitet, men även aktörnätverks teori används för att analysera både sociala och materiella aktörer. Avhandlingen bygger på tre empiriska material som genereras med hjälp av 16 lärare i samhällsorienterande ämnen, och 126 elever tillhörande fem olika klassrum i tre olika svenska grundskolor. Materialet innehåller: fältanteckningar ifrån introduktion av tekniken, fokusgrupps-intervjuer med lärare, ‘tänka högt’-intervjuer med elever och två sorters videoinspelningar ifrån klassrum (dels med vanlig videokamera och dels med mjukvara som spelar in aktiviteter på datorskärmen och elevernas aktiviteter vid datorn, liksom ljudet). Analysen visar hur lärare, elever, teknik, information, uppgifter, data-typer, etc. tillsammans, i nära samarbete i de studerade klassrummen, skapar mycket komplexa villkor för lärande. De läraktiviteter som uppstår i klassrummen där teknik för visuell analys inkluderas, erbjuder elever support att: hantera stora datamängder, bli delaktiga i olika läraktiviteter och uppnå olika utbildningsmål, men även andra sorters elevrelaterade mål. Därför kan tekniken sägas vara relevant för denna sorts undervisning. Vidare visar analysen hur komplexiteten tillsammans med elevernas uppfattningar av hur kunskap skall visas, skapar påtagliga ‘problem spaces’ i läraktiviteterna. Lärandevillkoren kan därför förstås som en klassrumspraktik som inte fullt ut överensstämmer med den introducerade teknikens erbjudanden för visuell analys. Därför efterfrågas en förändrad syn på didaktisk design och elevers kunskapsformering, vilket blir betydelsefullt för kunskapens kvalitet i förhållande till visuell analys.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2014. 118 + Appendicies A-G p.
Series
Linköping Studies in Pedagogic Practices, ISSN 1653-0101 ; 20Linköpings studies in education and social sciences, 6
Keyword
Data visualization, geovisual analytics, visual storytelling, interaction, learning activities, learning conditions, social science education, Data visualisering, geovisual analytics, visual storytelling, interaktion, läraktivitet, lärandevillkor, samhällsorienterande undervisning
National Category
Pedagogy
Identifiers
urn:nbn:se:liu:diva-106885 (URN)10.3384/diss.diva-106885 (DOI)978-91-7519-338-0 (ISBN)
Public defence
2014-06-13, Domteatern, Visualiseringscenter C, Campus Norrköping, Linköpings universitet, Norrköping, 13:15 (Swedish)
Opponent
Supervisors
Available from: 2014-05-23 Created: 2014-05-23 Last updated: 2015-04-01Bibliographically approved

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Stenliden, LinnéaJern, Mikael

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