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Cited by 427

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Teachers’ Everyday Professional Development: Mapping Informal Learning Activities, Antecedents, and Learning Outcomes

Open access
Kyndt, Eva, Gijbels, David, Grosemans, Ilke, Donche, Vincent·2016·Review of Educational Research

Abstract

Although a lot is known about teacher development by means of formal learning activities, research on teachers’ everyday learning is limited. In the current systematic review, we analyzed 74 studies focusing on teachers’ informal learning to identify teachers’ learning activities, antecedents for informal learning, and learning outcomes. In addition, we examined whether beginning and more experienced teachers differ with regard to informal learning. Results revealed different types of learning activities in the two groups and interesting relationships among different antecedents and various learning outcomes. Moreover, it can be concluded that the main difference between beginning and more experienced teachers lies not in the type of learning activities they undertake but rather in their attitudes toward learning, their learning outcomes, and how they are influenced by their context.

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Metadata

Authors
Kyndt, E., Gijbels, D., Grosemans, I., & Donche, V.
Venue
Review of Educational Research
Published
2016-07-10
Volume
86
Issue
4
Pages
1111-1150
ISSN
  • 0034-6543 (ISSN-L)
  • 1935-1046
OpenAlex
W2263542569
Cited by
427
References
3
FWCI
113.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Teachers’ Everyday Professional Development: Mapping Informal Learning Activities, Antecedents, and Learning Outcomes. https://app.cochat.ai/papers/10.3102/0034654315627864
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Kyndt, E., Gijbels, D., Grosemans, I., & Donche, V. (2016). Teachers’ Everyday Professional Development: Mapping Informal Learning Activities, Antecedents, and Learning Outcomes. Review of Educational Research. https://doi.org/10.3102/0034654315627864

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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.