Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Distribuerade realtidssystem (DRTS), Distributed Real-Time Systems)ORCID iD: 0000-0002-7312-9089
University of Piraeus, Athens, Greece.
Curtin University, Perth, Australia.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Distribuerade realtidssystem (DRTS), Distributed Real-Time Systems)ORCID iD: 0000-0001-7106-0025
2017 (English)In: WWW '17: Proceedings of the 26th International Conference on World Wide Web Companion, ACM Digital Library, 2017, p. 397-405Conference paper, Published paper (Refereed)
Abstract [en]

Smart Cities have emerged as a global concept that argues for the effective exploitation of digital technologies to drive sustainable innovation and well-being for citizens. Despite the large investments being placed on Smart City infrastructure, however, there is still very scarce attention on the new learning approaches that will be needed for cultivating Digital Smart Citizenship competences, namely the competences which will be needed by the citizens and workforce of such cities for exploiting the digital technologies in creative and innovative ways for driving financial and societal sustainability. In this context, this paper introduces cyberphysical learning as an overarching model of cultivating Digital Smart Citizenship competences by exploiting the potential of Internet of Things technologies and social media, in order to create authentic blended and augmented learning experiences.

Place, publisher, year, edition, pages
ACM Digital Library, 2017. p. 397-405
Keywords [en]
Digital Smart citizenship, smart city, smart citizenship competences, cyberphysical systems, learning design, social networks, learning technology, smart grid, collaborative learning, Internet of Things
National Category
Learning Computer and Information Sciences
Research subject
Distributed Real-Time Systems; INF302 Autonomous Intelligent Systems
Identifiers
URN: urn:nbn:se:his:diva-13400DOI: 10.1145/3041021.3054167ISBN: 978-1-4503-4913-0 (print)OAI: oai:DiVA.org:his-13400DiVA, id: diva2:1075383
Conference
International World Wide Web Conference, Perth, Australia, April 3–7, 2017
Projects
Kraftsamling Smarta Nät
Funder
Region Västra Götaland, dnr MN 39-2015Available from: 2017-02-18 Created: 2017-02-18 Last updated: 2018-06-01Bibliographically approved

Open Access in DiVA

fulltext(1116 kB)46 downloads
File information
File name FULLTEXT03.pdfFile size 1116 kBChecksum SHA-512
ac27f83e96e866158e173fcf73ff122d6331b9c36149cff3cb90740c04ab5222f93e20fb729cb5fcde627cdf8cbfb853c85276f9ae04f9da028096c25eb2d115
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Atif, YacineMathiason, Gunnar
By organisation
School of InformaticsThe Informatics Research Centre
LearningComputer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 46 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1190 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf