The Recruitment, Support, Retention and Attrition of Teachers in Australia
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There are persistent teacher recruitment and retention challenges in countries such as the UK, USA, Australia and continental Europe.
“It is therefore imperative to consider teacher identity in an international context of persistent teacher recruitment and retention challenges, most notably in countries such as the UK (See & Gorard, 2020), USA (Dee & Goldhaber, 2017), Australia (Varadharajan & Buchanan, 2021) and continental Europe (European Commission, 2018).”
From Understanding teacher identity in teachers' professional lives: A systematic review of the literature (2023) · cites this paper as Varadharajan & Buchanan, 2021
Cited by
Sorted by citations
Rushton, E. A. C., Rawlings Smith, E., Steadman, S., & Towers, E. (2023) · Review of Education · doi:10.1002/rev3.3417 · Cited by 156 · see citing works
- Authors
- Varadharajan, M., & Buchanan, J.
- Affiliations
- UNSW Sydney (AU)
- University of Technology Sydney (AU)
- Corresponding author
- Varadharajan, Meera
- Venue
- Career Change Teachers
- Publisher
- Springer Singapore
- Published
- 2021
- Pages
- 9-30
- OpenAlex
- W3210189031
- Cited by
- 4
- References
- 0
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 1
- FWCI
- 5.13
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Education › Teacher Professional Development and Motivation
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › Education Systems and Policy
- Keywords
- teacher recruitment, teacher retention, teacher attrition, teaching profession, teacher regulation, teacher accreditation, teacher shortage, school management, New South Wales, Australia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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