Cross-LAK: Learning Analytics across physical and digital spaces

Roberto Martinez-Maldonado, Davinia Hernandez-Leo, Abelardo Pardo, Dan Suthers, Kirsty Kitto, Sven Charleer, Naif Radi Aljohani, Hiroaki Ogata

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

10 Citations (Scopus)


It is of high relevance to the LAK community to explore blended learning scenarios where students can interact at diverse digital and physical learning spaces. This workshop aims to gather the sub-community of LAK researchers, learning scientists and researchers from other communities, interested in ubiquitous, mobile and/or faceto- face learning analytics. An overarching concern is how to integrate and coordinate learning analytics to provide continued support to learning across digital and physical spaces. The goals of the workshop are to share approaches and identify a set of guidelines to design and connect Learning Analytics solutions according to the pedagogical needs and contextual constraints to provide support across digital and physical learning spaces.

Original languageEnglish
Title of host publicationLAK ’16 Conference Proceedings
EditorsShane Dawson, Hendrik Drachsler, Carolyn Penstein Rosé
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450341905
Publication statusPublished - 2016
Externally publishedYes
EventInternational Learning Analytics & Knowledge Conference 2016 - University of Edinburgh, Edinburgh, United Kingdom
Duration: 25 Apr 201629 Apr 2016
Conference number: 6th


ConferenceInternational Learning Analytics & Knowledge Conference 2016
Abbreviated titleLAK 2016
Country/TerritoryUnited Kingdom
Internet address


  • Integration
  • Learning analytics
  • Monitoring
  • Seamless learning

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