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in learning organisations (e.g. school, VET, adult education, higher education)
for those out of work or returning to work (e.g. young people/NEETs, unemployed workers, women returners)
for those in work
for those who are seeking to taper or stop paid work (e.g. moving to part-time work or retirement)
Quantitative methods e.g. surveys
Longitudinal methods e.g. tracking clients, cohort studies
Control trials
Secondary analysis of administrative data e.g. re-examining service monitoring data
Literature review/ meta-analysis
Other (please specify)
No
No
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Publication name
Career Guidance in Communities
Author(s)
Rie Thomsen
Date of publication
2012
Country of publication
Denmark
Abstract (in English)
An emerging interest in group guidance, collective forms, and integrative approaches is evident in Denmark and serves to contest a conventional individualistic mode of delivery. The latter being criticised for being both resource heavy and in risk of contributing to feelings of failure in those who are less successful with educational outcomes or employment. By showing how guidance activities can develop within the community generally, the book puts forward a decentred perspective. Career guidance is not an objective in itself; it is a means to support a person's participation in the economic society through education and work. The author shows how the participants in career guidance modify and change practice, thereby creating new possibilities for themselves and each other.
This paper addresses the impact of career development... [Tick all that apply]
across the life coursein learning organisations (e.g. school, VET, adult education, higher education)
for those out of work or returning to work (e.g. young people/NEETs, unemployed workers, women returners)
for those in work
for those who are seeking to taper or stop paid work (e.g. moving to part-time work or retirement)
Methodologies reported in this paper: [Tick all that apply]
Qualitative methods e.g. interviews, focus groupsQuantitative methods e.g. surveys
Longitudinal methods e.g. tracking clients, cohort studies
Control trials
Secondary analysis of administrative data e.g. re-examining service monitoring data
Literature review/ meta-analysis
Other (please specify)
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Website address
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This information was provided/updated by:
Tristram Hooley
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