This report maps the picture of Indigenous people's participation in vocational education and training and other educational services across Australia's desert regions. The report identifies a range of innovations and barriers experienced in enabling pathways through learning into work and other meaningful livelihood opportunities.
The relevance of higher-level vocational education and training qualifications to students and employers in six industry sectors; namely, disability services; nursing; engineering; electronics/electro-technology; multi-media; and design, is explored in this report. The report suggests possible improvements, including a greater emphasis on opportunities within training programs for extended and practical workplace experience and in cross-discipline knowledge and industry skills.
This report examines the relationship between socio-economic status and participation in the vocational education and training (VET) sector. Research indicates that students from low socio-economic status areas are over-represented in the VET sector; it also shows that VET students from these areas complete qualifications at a better-than-average rate.
Vocational education and training (VET) is much more important to young people than might be immediately apparent. This paper focuses on how young people participate in vocational education and training, what they study and their outcomes. Of particular note is the importance of VET for those young people who do not proceed on the conventional academic path of 12 years of school followed by university.
Using wage data from the Student Outcomes Survey, this study examines whether there is a pay off to actually completing a vocational education and training (VET) qualification, noting that many VET students do not complete full qualifications.
This paper models completions for traditional apprenticeships on the basis of commencements from 1995 to 2005. These models are used to understand the dynamics of the relationship between commencements and completions in order to predict the number of future completions. On the basis of the models, it is expected that completions will increase in the future. The models allow the paper to comment on the variation in completion rates across states/territories and changes in them over time.