Visualizing workplace learning data with the SSS dashboard

Adolfo Ruiz-Calleja, Sebastian Dennerlein, Tobias Ley, Elisabeth Lex

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Abstract

This paper reports the design and development of a visual Dashboard, called the SSS Dashboard, which visualizes data from informal workplace learning processes from different viewpoints. The SSS Dashboard retrieves its data from the Social Semantic Server (SSS), an infrastructure that integrates data from several workplace learning applications into a semantically-enriched Artifact-Actor Network. A first evaluation with end users in a course for professional teachers gave promising results. Both a trainer and a learner could understand the learning process from different perspectives using the SSS Dashboard. The results obtained will pave the way for the development of future Learning Analytics applications that exploit the data collected by the SSS.

Original languageEnglish
Title of host publicationCrossLAK 2016: Learning Analytics Across Physical and Digital Spaces 2016
Subtitle of host publicationProceedings of the First International Workshop on Learning Analytics Across Physical and Digital Spaces co-located with 6th International Conference on Learning Analytics & Knowledge (LAK 2016)
EditorsRoberto Martinez-Maldonado, Davinia Hernandez-Leo
Place of PublicationAachen
PublisherCEUR
Pages79-86
Number of pages8
Publication statusPublished - 2016
Externally publishedYes
Event1st International Workshop on Learning Analytics Across Physical and Digital Spaces, CrossLAK 2016 - Edinburgh, Scotland, United Kingdom
Duration: 25 Apr 201629 Apr 2016
Conference number: 1

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch Westfälische Technische Hochschule
Volume1601
ISSN (Print)1613-0073

Conference

Conference1st International Workshop on Learning Analytics Across Physical and Digital Spaces, CrossLAK 2016
Abbreviated titleCrossLAK
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland
Period25/04/1629/04/16

Keywords

  • Data visualization
  • Social semantic data
  • Workplace learning analytics

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