2nd Cross-LAK: learning analytics across physical and digital spaces

Roberto Martinez-Maldonado, Davinia Hernandez-Leo, Abelardo Pardo, Hiroaki Ogata

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

2 Citations (Scopus)


Student's learning happens where the learner is, rather than being constrained to a single physical or digital environment. It is of high relevance for the LAK community to provide analytics support in blended learning scenarios where students can interact at diverse learning spaces and with a variety of educational tools. This workshop aims to gather the subcommunity of LAK researchers, learning scientists and researchers in other areas, interested in the intersection between ubiquitous, mobile and/or classroom learning analytics. The underlying concern is how to integrate and coordinate learning analytics seeking to understand the particular pedagogical needs and context constraints to provide learning analytics support across digital and physical spaces. The goals of the workshop are to consolidate the Cross-LAK sub-community and provide a forum for idea generation that can build up further collaborations. The workshop will also serve to disseminate current work in the area by both producing proceedings of research papers and working towards a journal special issue.

Original languageEnglish
Title of host publicationLAK'17 Conference Proceedings
EditorsInge Molenaar, Xavier Ochoa, Shane Dawson
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450348706
Publication statusPublished - 2017
Externally publishedYes
EventInternational Learning Analytics & Knowledge Conference 2017 - Morris J Wosk Centre for Dialogue, Simon Fraser University, Vancouver, Canada
Duration: 13 Mar 201717 Mar 2017
Conference number: 7th


ConferenceInternational Learning Analytics & Knowledge Conference 2017
Abbreviated titleLAK 2017
Internet address


  • Integration
  • Learning analytics
  • Monitoring
  • Seamless learning

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