Evaluating machine learning for projecting completion rates for VET programs


Permanent URL for this page: http://hdl.voced.edu.au/10707/649335.



This technical paper evaluates the effectiveness of using machine learning approaches to calculate projected completion rates for [vocational education and training] VET programs compared with the current Markov chains methodology. Projected rates were calculated for the 2016 commencing cohort with completion rate predictions using machine learning algorithms generally more accurate than the rates achieved using Markov chains methodology. While the machine learning model results show how well the model can generate projected rates for the 2016 commencing year, it is untested how well the...  [+] Show more

Subjects: Vocational education and training; Evaluation; Outcomes; Participation; Technology

Keywords: Training program; Completion; Statistical method; Comparative analysis

Geographic subjects: Australia; Oceania

Published: Adelaide, South Australia: NCVER, 2023

Physical description: [27] p.

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Also called: Evaluating machine learning for projecting completion rates for vocational education and training programs

ISBN: 9781922801111

Resource type: Report, paper or authored book

Document number: TD/TNC 151.06

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