his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Learning Analytics Architecture to Scaffold Learning Experience through Technology-based Methods
University of Bremen, Bremer Institut für Produktion und Logistik, Germany.
Carol I National Defence University, Romania.
Disruptive Media Learning Lab, Coventry University, UK.
Universidad Complutense de Madrid, Spain.
Show others and affiliations
2015 (English)In: International Journal of Serious Games, ISSN 2384-8766, Vol. 2, no 1, p. 29-44Article in journal (Refereed) Published
Abstract [en]

The challenge of delivering personalized learning experiences is often increased by the size of classrooms and online learning communities. Serious Games (SGs) are increasingly recognized for their potential to improve education. However, the issues related to their development and their level of effectiveness can be seriously affected when brought too rapidly into growing online learning communities. Deeper insights into how the students are playing is needed to deliver a comprehensive and intelligent learning framework that facilitates better understanding of learners' knowledge, effective assessment of their progress and continuous evaluation and optimization of the environments in which they learn. This paper discusses current SOTA and aims to explore the potential in the use of games and learning analytics towards scaffolding and supporting teaching and learning experience. The conceptual model (ecosystem and architecture) discussed in this paper aims to highlight the key considerations that may advance the current state of learning analytics, adaptive learning and SGs, by leveraging SGs as an suitable medium for gathering data and performing adaptations.

Place, publisher, year, edition, pages
Serious Games Society , 2015. Vol. 2, no 1, p. 29-44
Keywords [en]
game mechanics, gleaner personalization
National Category
Other Computer and Information Science
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-11585DOI: 10.17083/ijsg.v2i1.38ISI: 000218566300003OAI: oai:DiVA.org:his-11585DiVA, id: diva2:859313
Available from: 2015-10-06 Created: 2015-10-06 Last updated: 2018-04-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Dahlbom, Anders

Search in DiVA

By author/editor
Dahlbom, Anders
By organisation
School of InformaticsThe Informatics Research Centre
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 552 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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