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)

Abstract

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
PublisherCEUR-WS
Pages11-16
Number of pages6
Volume1596
Publication statusPublished - 2016
Externally publishedYes
EventLAK Workshop on Learning Analytics for Learners 2016 - Edinburgh, United Kingdom
Duration: 26 Apr 201626 Apr 2016
http://lak16.solaresearch.org/?page_id=319 (Website)
http://ceur-ws.org/Vol-1596/ (Proceedings)

Publication series

NameCEUR Workshop Proceedings
PublisherCEU-WS
ISSN (Print)1613-0073

Conference

ConferenceLAK Workshop on Learning Analytics for Learners 2016
Abbreviated titleLAK 2016
CountryUnited Kingdom
CityEdinburgh
Period26/04/1626/04/16
Internet address

Keywords

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

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