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Archive Other News 2019

VET in Germany Report 2018
© Cedefop 2019

Wednesday, June 5, 2019

VET in Germany Report 2018

gives an overview of the vocational educational and training (VET) system in Germany: external factors influencing VET, providing VET in a lifelong learning perspective, shaping VET qualifications, and promoting participation in VET.

#CedefopPhotoAward 2019
© Cedefop/Peter Mayr, 2018

Monday, May 20, 2019

#CedefopPhotoAward 2019

You can participate until 31 May!

Teams of vocational training and education (VET) learners can once again share their VET experience in a photo story for a chance to win trips to the European Vocational Skills Week in Helsinki or to Thessaloniki for the opening of the International Film Festival.

Cooperation between social partners and the state
© BIBB 2019

Thursday, April 11, 2019

Cooperation between social partners and the state

At an international conference staged by BIBB in Siegburg on 3 and 4 April 2019, educational experts from the fields of politics and research highlighted the significance of cooperation between social partners and the state in vocational education and training.

Second BIBB Conference on the Economics of VET: Markets - Institutions - Systems
© Rawpixel / fotolia.com

Wednesday, March 13, 2019

Second BIBB Conference on the Economics of VET: Markets - Institutions - Systems

The BIBB hosts its second conference on the economics of vocational education and training (VET) on 7-8 November 2019 in Siegburg. The conference will bring together researchers to discuss the most recent empirical and theoretical results.

Submit a contribution until 15 May!

2018 Cedefop skills forecast country reports
© Cedefop 2019

Thursday, February 21, 2019

2018 Cedefop skills forecast country reports

The skills forecast reports summarise key future trends in jobs and skills for each EU Member State up to 2030: employment trends by sectors, occupational groups and educational levels as well as developments of the working age population. A common methodology ensures comparability of results.