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

Allison Littlejohn; Anoush Margaryan; Colin Milligan

doi:10.1109/ICALT.2009.14

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

Allison Littlejohn, Anoush Margaryan, Colin Milligan

Glasgow Caledonian University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

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 language	English
Title of host publication	The Ninth IEEE International Conference on Advanced Learning Technologies : Proceedings
Editors	Ignacio Aedo, Nian-Shing Chen Kinshuk, Demetrios Sampson, Larissa Zaitseva
Number of pages	5
Place of Publication	Los Alamitos, CA
Publisher	IEEE
Publication date	2009
Pages	208-212
ISBN (Print)	9780769537115
DOIs	https://doi.org/10.1109/ICALT.2009.14
Publication status	Published - 2009
Externally published	Yes
Event	The Ninth IEEE International Conference on Advanced Learning Technologies. ICALT 2009 - Riga, Latvia Duration: 15 Jul 2009 → 17 Jul 2009 Conference number: 9

Conference

Conference	The Ninth IEEE International Conference on Advanced Learning Technologies. ICALT 2009
Number	9
Country/Territory	Latvia
City	Riga
Period	15/07/2009 → 17/07/2009

Keywords

Self-regulated learning
Collective learning
Charting corporate learning

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10.1109/ICALT.2009.14Licence: Unspecified

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Cite this

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title = "Charting Collective Knowledge: Supporting Self-regulated Learning in the Workplace",

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.",

keywords = "Self-regulated learning, Collective learning, Charting corporate learning, Self-regulated learning, Collective learning, Charting corporate learning",

author = "Allison Littlejohn and Anoush Margaryan and Colin Milligan",

year = "2009",

doi = "10.1109/ICALT.2009.14",

language = "English",

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booktitle = "The Ninth IEEE International Conference on Advanced Learning Technologies",

publisher = "IEEE",

address = "United States",

note = "The Ninth IEEE International Conference on Advanced Learning Technologies. ICALT 2009 ; Conference date: 15-07-2009 Through 17-07-2009",

}

Littlejohn, A, Margaryan, A & Milligan, C 2009, Charting Collective Knowledge: Supporting Self-regulated Learning in the Workplace. in I Aedo, N-SC Kinshuk, D Sampson & L Zaitseva (eds), The Ninth IEEE International Conference on Advanced Learning Technologies: Proceedings. IEEE, Los Alamitos, CA, pp. 208-212, The Ninth IEEE International Conference on Advanced Learning Technologies. ICALT 2009, Riga, Latvia, 15/07/2009. https://doi.org/10.1109/ICALT.2009.14

Charting Collective Knowledge: Supporting Self-regulated Learning in the Workplace. / Littlejohn, Allison; Margaryan, Anoush; Milligan, Colin.
The Ninth IEEE International Conference on Advanced Learning Technologies: Proceedings. ed. / Ignacio Aedo; Nian-Shing Chen Kinshuk; Demetrios Sampson; Larissa Zaitseva. Los Alamitos, CA: IEEE, 2009. p. 208-212.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

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