Abstract:The vocational education implementation is one of the success factors for government to improve the quality of human resources, mainly toward producing skilled workers. Various researchers have studied the phenomena of vocational education. Unfortunately, studies on research methods in relation to vocational education phenomena are limited. Hence, this paper examined the research methods on the phenomena of vocational education, based on few case studies in Indonesia. Indonesia has many challenges as such Indo… Show more
“…Other researchers have used a variety of methods in their scientific publications, including those connected to credit institutions that focus on lending money in groups and have a non-commercial character (D'espallier et al., 2013) [32] . Additional literature was published about providing skills for women tailored to interests and talents [33] and gender-related challenges in credit institutions [34] . In addition, studies related to the risk of problematic credit in group loans in rural areas [35] , access to micro-loans, and the influence of couples in the utilization of loans [36] , as well as the impact of financial lending to women related to the sustainability of credit institutions [37] were also analyzed.…”
“…Other researchers have used a variety of methods in their scientific publications, including those connected to credit institutions that focus on lending money in groups and have a non-commercial character (D'espallier et al., 2013) [32] . Additional literature was published about providing skills for women tailored to interests and talents [33] and gender-related challenges in credit institutions [34] . In addition, studies related to the risk of problematic credit in group loans in rural areas [35] , access to micro-loans, and the influence of couples in the utilization of loans [36] , as well as the impact of financial lending to women related to the sustainability of credit institutions [37] were also analyzed.…”
“…In addition, the development of students from different family backgrounds in the vocational education system strictly limits the development of student's abilities and indirectly predicts their future employment and development potential [26]. Some researchers started with the quality of vocational education, studied the distribution of vocational courses in different vocational schools, the strength of teachers, the arrangement of enterprise practice, and other key factors, and then established a prediction model for vocational education development system, which can effectively predict the development of students in different vocational education systems, providing a solid basis for the prediction of vocational education employment rate and providing detailed vocational training for enterprises that choose to cooperate with rules [27,28].…”
Vocational education is an important means to promote the development of the national manufacturing industry. To correctly grasp the relationship between vocational education and the labor market, we start with the quality of vocational education and employment rate and study the interconnection between them. To this end, we propose a vocational education employment rate prediction method based on a big data model and build a vocational education quality assessment and employment rate prediction system. We draw on the big data cross-learning model to improve the model hyperparameters by using generalized intersection sets on the joint loss function to compensate for the shortcomings of dense vocational education datasets. We use the GSA algorithm to enhance the local features of different vocational education quality assessment index data series. To scientifically assess the recognition of vocational education, we evaluate the vocational education assessment indexes at the student level and the parent level to verify the reliability of the experiment. The experimental results prove that our method performs best in the prediction accuracy of vocational education quality assessment indicators, and the prediction accuracy rate stays above 91%. In the prediction of vocational education employment rate, the difference between the predicted and actual values of our method is the smallest, and the difference stays within 1%. Compared with other big data models, our method has higher prediction accuracy and better robustness.
“…Vocational education: It refers to a process that's organized by institutions in order to provide the labor market with skilled workers (Ariyani et al, 2021).…”
The current article aimed to investigate the challenges of using technology in vocational education (VE). It investigated their effects on the achievement of students from the teachers' perspective in the schools in Ramtha. A sample consisting from (77) VE teachers in Ramtha, Jordan was chosen through the random method in sampling. This work used a survey. The survey that was used in this work consists of two main. The first part aims to collect personal data about the sample (i.e. gender and academic qualification). As for second part, it aims to collect data about the challenges of using technology in vocational education from the view of the sample. The researcher concluded that the severity of the challenges related to technology in teaching vocational education is moderate from the view of teachers. It was found that the most serious challenges related to the use of technology are represented mainly in the challenges related to technological applications, challenges related to school capabilities, and challenges related to curricula. It was found that there are challenges that significantly affect the students' achievements from the view of VE teachers. The researcher of the present study recommends developing the infrastructure in public schools in order to enable vocational education teachers to use technology in the teaching and training processes.
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