1,092
Views
5
CrossRef citations to date
0
Altmetric
Articles

Conquering the professional learning network labyrinth: what is required from the networked school leader?

& ORCID Icon
Pages 128-145 | Received 12 Apr 2019, Accepted 13 Feb 2020, Published online: 28 Feb 2020
 

ABSTRACT

Increasingly, policymakers, school and school system leaders are turning to Professional Learning Networks (PLNs) as a means to achieve bottom-up educational improvement at scale (Brown and Poortman, 2018). Likening the leadership challenges of establishing PLNs to conquering a labyrinth, this paper draws on extant literature to explore one key factor thought vital to the success of PLNs: the role of school leaders in creating a two-way link between PLNs and schools. Drawing on Bauman’s [2012. Liquid Modernity. Cambridge: Polity Press] notion of liquid modernity to ground the emergence of education networks within wider trends affecting society, this theoretical paper provides a conceptual exploration of the role of school leaders in maximising the benefits of networked ways of working for their school. Settling on three vital network leadership functions of formalising, prioritising and mobilising PLN engagement, the paper concludes by establishing some of the key areas school leaders need to consider if they are to successfully negotiate the PLN maze. Also detailed are the suggested ‘lessons’ school and system leaders should heed to maximise the impact of PLNs for all schools involved.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 680.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.