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Download full textNational Centre for Vocational Education Research (NCVER), 2011
The Australian vocational education and training (VET) system provides training across a wide range of subject areas and is delivered through a variety of training institutions and enterprises (including to apprentices and trainees). The system provides training for students of all ages and backgrounds. Students may study individual subjects or…
Descriptors: Qualifications, Foreign Countries, Vocational Education, Enrollment Rate
National Centre for Vocational Education Research (NCVER), 2012
The Australian vocational education and training (VET) system provides training across a wide range of subject areas and is delivered through a variety of training institutions and enterprises (including to apprentices and trainees). The system provides training for students of all ages and backgrounds. Students may study individual subjects or…
Descriptors: Qualifications, Vocational Education, Foreign Countries, Markov Processes
Mark, Kevin; Karmel, Tom – National Centre for Vocational Education Research (NCVER), 2010
This paper estimates vocational education and training (VET) course-completion rates, in order to fill a gap in performance measures for the VET sector. The technique the authors use is to track all VET course enrolments within a three-year window, centred on the year of interest. Then, using an absorbing Markov chain model for a VET course…
Descriptors: Markov Processes, Qualifications, Vocational Education, Models
Peer reviewed
Direct linkNicholls, Miles G. – Higher Education: The International Journal of Higher Education and Educational Planning, 2007
In this paper, absorbing markov chains are used to analyse the flows of higher degree by research candidates (doctoral and master) within an Australian faculty of business. The candidates are analysed according to whether they are full time or part time. The need for such analysis stemmed from what appeared to be a rather poor completion rate (as…
Descriptors: Probability, Databases, Markov Processes, Student Characteristics
