This research explores the key impacts of the COVID-19 pandemic on various aspects of VET and examines how students and training providers have responded in a rapidly changing and uncertain environment.
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.
This research examines the merits of VET for secondary school students (VfSSS) in preparing students for work or further training from the perspectives of students, parents, industry, and employers.