Charting collective knowledge: supporting self-regulated learning in the workplace

Allison Littlejohn*, Anoush Margaryan, Colin Milligan

*Corresponding author for this work

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

12 Citations (Scopus)

Abstract

The aim of this paper is to propose an approach to enhancing self-regulated learning in the workplace. Drawing upon social-cognitive theories of selfregulated learning, we argue that current, individualised conceptualisations of self-regulated learning should be re-examined. These contradict the interactional and collaborative nature of the workplace where goal actuation is socially mediated, structured by and closely integrated within work tasks. We outline a mechanism that integrates individual and collective components to enhance goal actuation processes for self-regulated learning in the workplace. We term this mechanism 'charting' and provide scenarios illustrating how it might work in practice.

Original languageEnglish
Title of host publicationProceedings: The Ninth IEEE International Conference on Advanced Learning Technologies: ICALT 2009
PublisherIEEE
Pages208-212
Number of pages5
ISBN (Print)9780769537115
DOIs
Publication statusPublished - 7 Aug 2009
Event2009 9th IEEE International Conference on Advanced Learning Technologies - Riga, Latvia
Duration: 15 Jul 200917 Jul 2009

Publication series

Name
ISSN (Print)2161-3761
ISSN (Electronic)2161-377X

Conference

Conference2009 9th IEEE International Conference on Advanced Learning Technologies
Abbreviated titleICALT 2009
Country/TerritoryLatvia
CityRiga
Period15/07/0917/07/09

Keywords

  • Self-regulated learning
  • collective learning
  • charting corporate learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software

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