Diverse histories, common ground and a shared future : the education of career guidance and counselling professionals in the Nordic countries

DSpace Repository

Diverse histories, common ground and a shared future : the education of career guidance and counselling professionals in the Nordic countries

Details

Files for download

Find Full text There are no files associated with this item..

Overview of item record
Publication Article, peer reviewed scientific
Title Diverse histories, common ground and a shared future : the education of career guidance and counselling professionals in the Nordic countries
Author Andreassen, Inga H. ; Einarsdottir, Sif ; Lerkkanen, Jukka ; Thomsen, Rie ; Wikstrand, Frida
Date 2019
English abstract
The development of education programmes in career guidance and counseling (CGC) has followed different paths among the various Nordic countries. Ten CGC programmes in Denmark, Finland, Greenland, Iceland, Norway and Sweden were evaluated against the NICE curricular model. The results show that all NICE core competences are represented in the curricula. However, there is greater focus in some programmes on developing competences for individual career guidance, than on developing competences for working at organisational and societal levels. Implications for the cooperation and professionalisation of CGC within the Nordic countries are discussed as well as limitations of the NICE model.
DOI https://doi.org/10.1007/s10775-018-09386-9 (link to publisher's fulltext.)
Publisher Springer
Host/Issue International Journal For Educational and Vocational Guidance;3
Volume 19
ISSN 0251-2513
Language eng (iso)
Subject CGC education programmes
Career guidance counselling professionals
NICE competence model
Humanities/Social Sciences
Research Subject Categories::SOCIAL SCIENCES
Handle http://hdl.handle.net/2043/30529 Permalink to this page
Link to publication in DiVA Find this research publication in DiVA.
Facebook

This item appears in the following Collection(s)

Details

Search


Browse

My Account

Statistics