Occupational Identity and Motivation of Apprentices in a System of Integrated Dual VET

Chapter
Part of the Technical and Vocational Education and Training: Issues, Concerns and Prospects book series (TVET, volume 18)

Abstract

This chapter focuses on the results of a large-scale survey of more than 2,000 apprentices in Bremerhaven, Bremen and Hessia using four different scales to measure occupational identity, organisational and vocational commitment as well as a general working morale (We understand working morale as an unquestioned willingness to carry out work tasks based on general work habits such as reliability, punctuality/timeliness and accuracy. These habits do not relate to a vocation but to work as such. Working morale is thus different from the expression work ethics, which instead does relate to the pursuance of one’s vocation. This definition is based on the works of Carlo Jäger (Die kulturelle Einbettung des Europäischen Marktes. In Haller M, Hoffmann-Novottny H-J, Zapf W (Hrsg) Kultur und Gesellschaft. Frankfurt/Main: Campus Verlag, pp 556–574). Research based on these measurement instruments has also been linked to context research within the frame of competence measurement project COMET (see  Chap. 11). Among others, it has been found that there is no correlation between the development of vocational commitment and vocational identity and the apprentices’ social or migration background, whereas a high diversity of tasks, i.e. skills to be obtained by apprentices and their embedment in the work process, is a significant requirement for an attractive and successful VET. The findings gained from this analysis also explain the necessity to establish a profound basis for or to improve the quality of cooperation between the two learning venues: vocational schools and training companies.

Keywords

Vocational Education Organisational Commitment Professional Identity Work Task Migration Background 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.TVET Research Group (I:BB)University of BremenBremenGermany

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