Learning Analytics and Policy (LAP) - International aspirations, achievements and constraints

Megan Bowe, Weiqin Chen, Dai Griffiths, Tore Hoel, Jaeho Lee, Hiroaki Ogata, Griff Richards, Li Yuan, Jingjing Zhang

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

Abstract

The Learning Analytics and Policy (LAP) workshop explores and documents the ways in which policies at national and regional level are shaping the development of learning analytics. It brings together representatives from around the world who report on the circumstances in their own country. The workshop is preceded by an information gathering phase, and followed by the authoring of a report. The aspirations, achievements and constraints in the different countries are contrasted and documented, providing a valuable resource for the future development of learning analytics.

Original languageEnglish
Title of host publicationLAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference
Subtitle of host publicationUnderstanding, Informing and Improving Learning with Data
PublisherAssociation for Computing Machinery
Pages516-517
Number of pages2
ISBN (Electronic)9781450348706
DOIs
StatePublished - 13 Mar 2017
Event7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada
Duration: 13 Mar 201717 Mar 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Learning Analytics and Knowledge, LAK 2017
Country/TerritoryCanada
CityVancouver
Period13/03/1717/03/17

Keywords

  • Data protection
  • Learning Analytics
  • Open data
  • Policy
  • Privacy

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