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Creator |
ddfea09c87321f113cbedc1a102b844b |
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Creator |
ext-02d8ecb7364316b8a5f8cc5964a9fc98 |
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Date |
2014 |
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Is Part Of |
repository |
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abstract |
Societal and technological changes are transforming the ways people work and learn.
As work roles evolve, learning for work becomes continual and personalised. These
transformations evidenced in work and learning practices are partly governed by advances
in technology. Consideration of work practices, professional learning processes and
technologies mediating work and learning within a single domain of "Technology-enhanced
Professional Learning" enables analysis of the dialectical relationship between technology
and practice. This chapter begins by presenting a single framework that integrates
perspectives across the domains of work practices, learning processes and digital
technologies. Key trends are outlined from the literature within each domain. Using
a framework for TEPL as an analytical lens, emerging work and technology practices
and their implications for professional learning both in and for work are examined.
Finally, the chapter outlines the implications of these developments for work and
learning. |
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authorList |
authors |
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editorList |
editors |
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status |
peerReviewed |
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type |
Article |
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type |
BookSection |
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label |
Littlejohn, Allison and Margaryan, Anoush (2014). Technology-enhanced Professional
Learning. In: Billet, Stephen; Harteis, Christian and Gruber, Hans eds. International
Handbook on Research in Professional and Practice-based Learning. Springer International
Handbooks of Education. Dordrecht: Springer, pp. 1187–1212. |
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label |
Littlejohn, Allison and Margaryan, Anoush (2014). Technology-enhanced Professional
Learning. In: Billet, Stephen; Harteis, Christian and Gruber, Hans eds. International
Handbook on Research in Professional and Practice-based Learning. Springer International
Handbooks of Education. Dordrecht: Springer, pp. 1187–1212. |
46387 |
Publisher |
ext-1c5ddec173ca8cdfba8b274309638579 |
46387 |
Title |
Technology-enhanced Professional Learning |
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in dataset |
oro |