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Models of Continuing Professional Development: a framework for analysis

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Kennedy, Aileen·2005·Journal of In-Service Education

Abstract

The area of teachers' continuing professional development (CPD) is of growing interest internationally. However, while an increasing range of literature focuses on particular aspects of CPD, there is a paucity of literature addressing the spectrum of CPD models in a comparative manner. This article therefore considers a wide range of international literature, together with some specific examples from the Scottish context, in proposing a framework built around key characteristics of individual models of CPD. The framework identifies nine key models, which are then classified in relation to their capacity for supporting professional autonomy and transformative practice. The article considers the circumstances in which each of the nine models of CPD might be adopted, and explores the form(s) of knowledge that can be developed through any particular model. It also examines the power relationships inherent in the individual models and explores the extent to which CPD is perceived and promoted either as an individual endeavour related to accountability, or as a collaborative endeavour that supports transformative practice. Finally, it is argued that there is a need for greater interrogation of both the purpose and the potential outcomes of CPD structures - the framework outlined in this article is offered as one way of supporting such analysis.

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Metadata

Authors
Kennedy, A.
Venue
Journal of In-Service Education
Published
2005-06
Volume
31
Issue
2
Pages
235-250
ISSN
  • 1367-4587 (ISSN-L)
  • 1747-5082
OpenAlex
W2076752573
Cited by
796
References
0
FWCI
39.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Models of Continuing Professional Development: a framework for analysis. https://app.cochat.ai/papers/10.1080/13674580500200277
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Kennedy, A. (2005). Models of Continuing Professional Development: a framework for analysis. Journal of In-Service Education. https://doi.org/10.1080/13674580500200277

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.