VET market prognostications two decades later

Publishing the results of thoughtfully designed research projects allows contemporary investigators to revisit the findings years later. The willingness of academics to make specific predictions about the impact of introducing user-choice principles into a state vocational education and training market has enabled comparisons to be drawn using extensive statistical collections. These data sets do not cover each of the forecasts; for example, employer reactions to increased marketisation can only be inferred. However, extensive information has been recorded on the training provider and student responses. The jurisdiction under study has a long history of centralised government decision-making and bureaucratic regulatory control; which allows for a substantial level of confidence in the causal relationship between public policy implementation and outcomes observed in the vocational education and training market. By making data-driven comparisons between what was hypothesised and the results over a long period of time, it is re-affirmed that good research is relevant and can assist governments in achieving their intended public policy priorities

Big data · Data mining · Computer Science · Education Systems and Policy · Youth Education and Societal Dynamics