Connecting data with student support actions in a course: a hands-on tutorial

Abelardo Pardo, Roberto Martínez-Maldonado, Simon Buckingham Shum, Jurgen Schulte, Simon McIntyre, Dragan Gašević, Jing Gao, George Siemens

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

5 Citations (Scopus)


The amount of data extracted from learning experiences has grown at an astonishing pace both in depth due to the increasing variety of data sources, and in breath with courses now being offered to massive student cohorts. However, in this emerging scenario instructors are now facing the challenge of connecting the knowledge emerging from data analysis with the provision of meaningful support actions to students within the context of an instructional design. The objective of this tutorial is to give attendees a set of hypothetical scenarios in which the knowledge extracted from a learning experience needs to be used to provide frequent personalized feedback to students.

Original languageEnglish
Title of host publicationLAK'17 Conference Proceedings
Subtitle of host publicationThe Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data
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 - 13 Mar 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


  • Feedback
  • Instructiona design
  • Learning analytics
  • Predictive analytics
  • Student support

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