Charting Collective Knowledge: Supporting Self-regulated Learning in the Workplace

Allison Littlejohn, Anoush Margaryan, Colin Milligan

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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 self-regulated 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 dasiachartingpsila and provide scenarios illustrating how it might work in practice.
Original languageEnglish
Title of host publicationThe Ninth IEEE International Conference on Advanced Learning Technologies : Proceedings
EditorsIgnacio Aedo, Nian-Shing Chen Kinshuk, Demetrios Sampson, Larissa Zaitseva
Number of pages5
Place of PublicationLos Alamitos, CA
PublisherIEEE
Publication date2009
Pages208-212
ISBN (Print)9780769537115
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventThe Ninth IEEE International Conference on Advanced Learning Technologies. ICALT 2009 - Riga, Latvia
Duration: 15 Jul 200917 Jul 2009
Conference number: 9

Conference

ConferenceThe Ninth IEEE International Conference on Advanced Learning Technologies. ICALT 2009
Number9
CountryLatvia
CityRiga
Period15/07/200917/07/2009

Bibliographical note

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Keywords

  • Self-regulated learning
  • Collective learning
  • Charting corporate learning

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