Generating learning analytics to improve learners' metacognitive skills using nstudy trace data and the ICAP framework

Zahia Marzouk, Mladen Rakovic, Philip Winne

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)


Metacognition is integral in the cycle of self-regulated learning. Enhancing learner's metacognitive skills is a focus of many studies. Offering learning analytics to learners about learning has also gained popularity as a means to improve their metacognitive skills. A key question is, What types of analytics can meaningfully prompt change? We propose Chi's (2009; 2014) ICAP framework can lend meaning to analytics and guide learners to enhance metacognitive skills.

Original languageEnglish
Title of host publicationProceedings of the LAK 2016 Workshop on Learning Analytics for Learners
EditorsSusan Bull, Blandine M.Ginon, Judy Kay, Michael D.Kickmeier-Rust, Matthew D.Johnson
Place of PublicationAachen Germany
Number of pages6
Publication statusPublished - 2016
Externally publishedYes
EventLAK Workshop on Learning Analytics for Learners 2016 - Edinburgh, United Kingdom
Duration: 26 Apr 201626 Apr 2016 (Website) (Proceedings)

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


ConferenceLAK Workshop on Learning Analytics for Learners 2016
Abbreviated titleLAK 2016
CountryUnited Kingdom
Internet address


  • Learning analytics
  • Metacognition
  • Social learning networks
  • Traces
  • Writing analytics

Cite this