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.

Professionalism of construction workers is one of the keys to the success of infrastructure development projects. The professionalism of the workforce is demonstrated through the possession of expertise competence certificate (SKA) and/or certificates of skills (SKT) issued formally through competency tests by the National Construction Cervices Development Agency (LPJKN). The magnitude of the national skilled manpower needs has not been able to meet the availability of professional workforce. Strategies to develop the quality of resources require sufficient information on the characteristics of the resources themselves, facilities, constraints, stakeholder support, regulations, and socioeconomic as well as cultural conditions. The problems faced by Indonesia in improving the competitiveness of skilled construction workers are (1) how the level of professionalism of skill workers in construction field, (2) what the constrains on improving the quality of skilled construction workers,and(3) how the appropriate model of education and training skillfull construction work. The study was designed with quantitative and qualitative approaches. Quantitative methods were used to describe the profile of sklill constructions worker. Qualitative methods were used toidentify constraintsin improving the qualityof skilled labor, as well as formulate a viable collaborative education and training model for improving the quality of skill labor. Data were collected by documentation, observation, and interview. The result of the study indicate theat (1) the professionalism knowledge of skilled constructions worker are in still low condition, (2) the constrain faced in developing the quality of skilled construction labor cover economic and structural constrains, and (3) collaborative eduction and training model can improve the quality ods skilld labor contructions.

This study aimed to address the procedure, effectiveness, and problems in the implementation of learning model for Building Engineering Apprenticeship Training Programme. This study was carried out through survey method and experiment. The data were collected using questionnaire, test, and assessment sheet. The collected data were examined through description, t-test, and covariance analysis. The results of the study showed that (1) the model’s procedure covered preparation course, readiness assessment, assignment distribution, handing over students to apprenticeship instructors, task completion, assisting, field assessment, report writing, and follow-up examination, (2) the Learning Community model could significantly improve students’ active learning, but not improve students’ hard skills and soft skills, and (3) the problems emerging in the implementation of the model were (1) students’ difficulties in finding apprenticeship places and qualified instructors, and asking for relevant tasks, (2) teachers’ difficulties in determining relevant tasks and monitoring students, and (3) apprenticeship instructors’ difficulties in assigning, monitoring, and assessing students.