Australia's national VET data custodian

Publications

1 – 14 of 14 results
Evaluating machine learning for projecting completion rates for VET programs

By Michelle Hall, Melinda Lees, Cameron Serich, Richard Hunt

This technical paper summarises exploratory analysis undertaken to evaluate the effectiveness of using machine learning approaches to calculate projected completion rates for VET programs and compares with the current Markov chains methodology used by NCVER.

Total VET program completion rates

By Brad McDonald

This paper outlines how the methodology used to determine government-funded VET program completion rates can now also be used for total VET activity program completion rates.

Student Outcomes Survey: self-reported graduate model review

By Ben Sanders

This technical paper reports on the 2018 self-reported graduate model review. This statistical model is used to predict whether Student Outcomes Survey participants who self-report as graduates are ‘actual’ graduates according to official definitions.

Teaching, learning and assessment in TVET: the case for an ecology of assessment

By David D Curtis

This paper argues that assessment can play a central role in teaching and learning, and selecting an appropriate mix of assessment strategies can satisfy multiple goals of key stakeholders in vocational education and training. These goals include promoting learning, certifying learning and program evaluation. These objectives must be understood in a broad context delineated by the structures of education systems and of labour markets which, in turn, reside within national policy objectives. Forms of assessment must be consistent with the goals of learning and with a broad range of valued learning outcomes.