An integrative review of computational methods for vocational curriculum, apprenticeship, labor market, and enrollment problems

Abstract

Computational methods have been used extensively to solve problems in the education sector. This paper aims to explore the computational method's recent implementation in solving global Vocational education and training (VET) problems. The study used a systematic literature review to answer specific research questions by identifying, assessing, and interpreting all available research shreds of evidence. The result shows that researchers use the computational method to predict various cases in VET. The most popular methods are ANN and Naïve Bayes. It has significant potential to develop because VET has a very complex problem of (a) curriculum, (b) apprenticeship, (c) matching labor market, and (d) attracting enrollment. In the future, academics may have broad overviews of the use of the computational method in VET. A computer scientist may use this study to find more efficient and intelligent solutions for VET issues.

Policy Implementation Strategy of Link and Match for Vocational High School with Industry and the World of Work in Tangerang District, Indonesia

“…The reason is, until now vocational education graduates, especially vocational school graduates, are not guaranteed to be able to enter the job market and the industrial world. In essence, the link-and-match concept can be used as a medium to increase the relevance of vocational education to workforce needs (Dardiri et al, 2020).…”

The Relevance of the Vocational Education Curriculum to the Business World and Education in Vocational High Schools

“…High school is used to solve students' academic predictions (Musau et al, 2019), to predict students' performance (Pattiasina & Rosiyadi, 2020), and to predict students' final grades (Khan et al, 2015). Meanwhile, elementary schools are used for a comprehensive classification between teachers and students (Guimarães & Oliveira, 2016), for predicting students' performance (Singh et al, 2019), and for assessing students on the quality of teaching (Dardiri et al, 2020;Fauth et al, 2014). Of the many studies, the field of vocational education has not been widely discussed, hence it is still possible to develop it.…”