OPT-BAG Model for Predicting Student Employability

The use of machine learning to predict student employability is important in order to analyse a student’s capability to get a job.Based on the results of this type of analysis,university managers can improve the employability of their students,which can help in attracting students in the future.In addition,learners can focus on the essential skills identified through this analysis during their studies,to increase their employability.An effectivemethod calledOPT-BAG(OPTimisation of BAGging classifiers)was therefore developed to model the problem of predicting the employability of students.This model can help predict the employability of students based on their competencies and can reveal weaknesses that need to be improved.First,we analyse the relationships between several variables and the outcome variable using a correlation heatmap for a student employability dataset.Next,a standard scaler function is applied in the preprocessing module to normalise the variables in the student employability dataset.The training set is then input to our model to identify the optimal parameters for the bagging classifier using a grid search cross-validation technique.Finally,the OPT-BAG model,based on a bagging classifier with optimal parameters found in the previous step,is trained on the training dataset to predict student employability.The empirical outcomes in terms of accuracy,precision,recall,and F1 indicate that the OPT-BAG approach outperforms other cutting-edge machine learning models in terms of predicting student employability.In this study,we also analyse the factors affecting the recruitment process of employers,and find that general appearance,mental alertness,and communication skills are the most important.This indicates that educational institutions should focus on these factors during the learning process to improve student employability.

Exploration of the Relationship Between the Quality of Higher Education and the Employability of College Students

With the continuous expansion of the enrolment scale in universities in China,the number of graduates has rapidly increased,which has brought certain difficulties to the employment of college students.In order to ensure smooth employment,college students need to have strong employability.There is a close relationship between the quality of higher education and the employability of college students.Universities need to improve the employment rate of college students by ensuring the quality of education.The problems in higher education and the relationship between education quality and college students’employability are discussed in this paper,and effective strategies for improving the education quality and college students’employability are proposed.This study will likely contribute to the employment of college students.

Establishment of Comprehensive Evaluation Model of the New Generation Migrant Workers' Employability

Through literature research and expert interviews,we extract 10 variables influencing the new generation migrant workers' employability,and establish the comprehensive evaluation model of the new generation migrant workers' employability. Using factor analysis,we derive that the model includes three factors: skill literacy,relationship literacy and basic literacy. The weights of each factor are 0. 580,0. 244 and 0. 174 8,respectively. Skill literacy is affected by skill level,learning ability,career aspiration,ability to analyze problems,physical health status and other factors. Relationship literacy is affected by the sense of teamwork,interpersonal skills,social support and other factors. Basic literacy is affected by educational level,hardworking spirit and other factors. According to the results,we put forth the following recommendations to improve the new generation migrant workers' employability: strengthening the vocational skill training; coordinating the vocational education resources.

Employability Skills Needed by Higher Vocational Education Graduates to Be Successful in the Workplace

The current issues in workforce development are on high competence not only in technical skills, but also in non-technical skills. The term of non-technical skills is also called as employability skills. The research with topic analysis and development ofemployability skills of polytechnic students aims to： describe supervisors＇ perceptions of the importance of the employability skills needed in the workplace; describe supervisors＇ perceptions of the students＇ level of competence at performing the employability skills; and find the attributes of employability skills that are need to prioritize for development. Research sample has been selected by using a stratified random sampling from the supervisor of last year students when they are on the job training in industry. Total 146 supervisors participated in this research. The Employability Skills Questionnaire with a five-point Liken scale was used to assess perceptions level of importance of identified employability skills and students＇ level of competence. Data were analyzed by descriptive statistics, means and standard deviations, and priority development analysis. Three main groups of the employability skills with highest important level are： workplace health and safety, self-management, and team working. Students have a high level of competence in occupational health and safety, self-management and learning skills. There are three attributes of employability skills in high priority category for developed： knowing the benefits of computer application programs are needed in the work, taking the initiative in organizing activities, and participating in learning activities to gain new experience.

Study of an evaluation index system of nursing undergraduate employability developed using the Delphi method

Purpose:To establish an evaluation index system of nursing undergraduate employability.Methods:Two-round expert consultation using the Delphi method and involving 26 nursing experts nationwide.Results:The usable response rates of the 2-round consultation were 89.7%and 100%in the first and second round,respectively.The specialist authority coefficient was 0.869 and the coordination coefficients were 0.205 and 0.212 for the first and second round,respectively,both were statistically different.The evaluation index system comprised four first-level indexes,13 second-level indexes,and 82 third-level items.Conclusion:High positivity representative of the consulted experts enabled the construction of a reliable index system that can be used as a reference for cultivating nursing undergraduate employability.

Psychological quality of life and employability skills among newly registered first-year students: Opportunities for further university development

In accord with new European university reforms initiated by the Bologna Process, our objective was to evaluate influences on the relationship between psychological quality of life (QoL) and the acquisition of academic employability skills (AES) among first-year students at the University in Luxembourg. At the beginning (2 months in) and the end (9 months) of the academic year, 973 newly registered students participated in this study involving two cross-university surveys. Students who redoubled or who had studied at other universities were excluded. Data were collected with an online questionnaire comprising the psychological Whoqol-bref subscale, AES scale, and questions about other related factors. The AES score decreased from 74.2 to 65.6. At both time points, the psychological Whoqol-bref was positively correlated with environmental and social relations QoL and perceived general health. Multiple regression models including interaction terms showed that a higher psychological QoL was associated with better general health (difference satisfied-dissatisfied 9.44), AES (slope 0.099), social relationships QoL (0.321), and environmental QoL (0.298). No interaction with time effects was significant, which indicates that the effects remain stable with time. If the university could maintain the QoL indicators at appropriate levels or manage decreases as they occur, it would have implications for health promotion and the creation of new student support systems. The SQA- LES project provides valuable information for universities aiming to develop a European Higher Educational Area.

Hospitality and Tourism International Internships and Perceived Employability

This paper investigates the experiences of UK undergraduate students who have undertaken a one year paid internship abroad within the hotel sector by using a phenomenological approach.Semi-structured interviews were conducted with 25 final year undergraduate students.The findings shed light on the alignment of key elements of the constructs of positive psychological capital and cosmopolitan human capital,along with strong self-belief in employability as a consequence of the experience.A theoretical model of international experience and positive psych-social development is postulated and contributes to improved practice in internship and employability mentoring and policy decision-making with respect to current internationalisation and employability agendas in the UK’s higher education system.

A Focus： Epitomizing Approaches of Effective Employability Skills

The present paper reveals the pivotal challenges of fast changing global work environment and industrial needs. Employability skills need to be checked rather than unemployment problem in India. The paper further aims to explore the necessary skills to the challenges of globalizing trends. The issues, approaches, and remedial strategies are focused with reference to the people＇s skills. As the reflections of quality and competence depend on transparency and accountability of the organization, it is necessary to improve the required skills which enhance the levels of confidence. The potential employer＇s requirements are need to be worked very keenly by the institutions. The paper also deals with the effective learning process, which is at par with global counter parts. Exposure to the universal student-centered learning is emphasized to enhance the very crucial pace of work place. Finally this paper studies effective micro and macro issues regarding the dynamics of the industry by applying a broad range of employability skills complementing the technical skills.

A Grounded Analysis towards Developing a Career Decision Making Competency Model for Students Employability

Malaysian graduates are normally assumed to be lacking soft-skills and preparation for job-searching, thus affecting their decision-making skills. Thus, this study aims to develop a career decision-making competency model for effective career development among graduating students in Malaysia. The data collected from 1,655 graduating students were tested with confirmatory factor analysis to obtain three best-fit measurement models from the three variables. The findings according to the primary data reveal that there are significant relationships between self-knowledge and career decision-making, and occupational exploration as well as career decision-making. The result for testing invariance of a structural model for multi group analysis showed a validation model of self-knowledge, occupational exploration and career decision making. The findings from this study can be of great benefit to students, researchers, as well as the policy makers in the educational field.

Hidden Constructs on Graduate Employability Decisions: The Principal Component Factor

This study adopted the quantitative research design to unearth hidden factors which go into graduate employability decisions. Purposive sampling technique was used to select graduates, institutions and industries within Takoradi, Cape Coast, Kumasi and Accra metropolis all in Ghana. Three different questionnaires inter-spaced with interviews were designed and used to collect data from the field according to a pre-determined stratified scheme. A total of 200 informants including 68 industries, 120 graduates and 12 institutions were used. The data was coded and keyed into SPSS version 20. Tables and Charts were used to explore the data. Principal component (PC) analysis was employed to extract hidden factors industries consider in graduate employability decisions. The PC method identified and extracted six hidden factors: ability to set SMART goals and structure actions;ability to demonstrate a willingness to embrace new systems, processes, technology and ideas;a determined, committed, resilient, and focused person;a person with passion for driving profit;ability to deconstruct a problem or situation;and clear and unprompted ability to present information to a group. These six hidden factors could explain 68.8% of the variances in graduate employability decisions. We recommend that internships be properly planned and executed with the involvement of industry players, facilitators of learning, and the ministry of trade and industries. In addition, facilitators should inculcate into students’ important traits and attributes identified in this study.

Employability Analysis and Improving Strategy of Art Majors in College

Scarce resources of Higher Education is the fundamental factor affecting arts college students＇ employability training and promotion. Human Capital acquired by Art Majors in higher education is professional knowledge and skills with the core of employability. Characterized by a high degree of operability art expertise determines the students and enhances their professional knowledge and skills for the high dependence of educational resources. These educational resources include not only the hardware facilities, teachers, but also include the school＇ s philosophy, cultural traditions, social practices of professional opportunities, social influence and other hidden educational resources, for example, as for the traditional fine arts students, in addition to enough learning creative space, schools and cultural traditions have a very profound impact on the ability for professional and career development. In case of shortage of educational resources, art students＇ the opportunity to study and practice professional knowledge and skills must be affected, but the large number of students makes many teachers tied of teaching school recessive educational resources which even cannot be effectively communicated.

Employment and Employability of Engineering Graduates in India

While higher education system in India produces the second largest number of engineering graduates in the world every year,the employability of the graduates is questioned both in the domestic and international labour markets.Many rightly observe that India is overproducing engineering graduates with poor quality,who are not suitable for changing labour markets,as a result large numbers of graduates are either unemployed or mal/under employed.Globally,the interface between technology and labour market is changing rapidly,making new demands on skills of the graduate engineers.The recent National Education Policy 2020 has clearly acknowledged this fact,and accordingly,proposes a variety of reforms for strengthening technical education in the country.In this short paper,an attempt is made to examine a few specific aspects relating to the unemployment and employability of engineering graduates,along with implications for engineering education.

The method of cultivating employability of computer majors in colleges and universities based on data mining

Employability is a set of achievements – skills, understandings, and personal attributes – thatmakes graduate students more going to benefit from work. It well values it for several studentsto get a degree in computer science. For decades, traditional information sources and methodologieswere too expensive and cumbersome to obtain the finer details of learning processesthat digital trace amounts of student behavior could provide, and decision-making skills arethe basic challenges. Hence the proposed model Amalgamation of Computer Majors based onData Mining (ACM-DM) is employed to satisfy the challenges discussed above. Training investigatorsin instructional data science methodologies and balancing the need to protect personalinformation with sharing data are challenges. As a result, the proposed model helps achievedata, performance, accuracy, interoperability, and security analysis compared to other majorsif included in colleges based on data mining.

Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

Off-farm employment,agriculture production activities,and household dietary diversity in environmentally and economically vulnerable areas of Asia

Access to off-farm employment has been expected to be a critical approach to ending hunger and all forms of malnutrition,two important targets of achieving Zero Hunger.This study aims to investigate the role of off-farm employment in improving dietary diversity through substitution effect and complementary effect with agricultural production activities and income effect.This study adopts Poisson/Tobit/Probit/OLS regressions and the instrument variable method based on the primary survey data collected among 1,282 households at 12 sites in environmentally and economically vulnerable areas of China,Nepal,Cambodia,Thailand,and Myanmar in 2019.The results show that off-farm employment is positively associated with household dietary diversity and the consumption of flesh meat,fish and other aquatic animals,fruits,and milk and dairy products,which are rich in protein and micronutrients.The results of mechanism analysis show that off-farm employment contributes to household dietary diversity by improving crop diversity,especially for poor households,boosting the probability of livestock raising for households with the middle one-third disposal income,and increasing household income.The positive association between off-farm employment and household dietary diversity is much higher for households with the bottom one-third disposal income,low illiteracy,and from upper-middle income countries.These findings imply that off-farm employment does play a vital role in achieving multiple benefits of poverty alleviation,malnutrition reduction,and agrobiodiversity conservation in environmentally and economically vulnerable areas.However,it may enlarge the gaps in dietary diversity between households with low human capital and from low and lower-middle income countries and those with high human capital and from middle-high countries.

Factors influencing the employed caregiver burden for patients with dementia residing in nursing homes:A cross-sectional study from China

Objective:The institutionalization of care for patients with dementia is becoming a trend.Understanding the burden on employed caregivers and exploring associated factors are of great importance in practice.Therefore,this study aimed to examine the relationship between basic attributes,caring ability,and caregiver burden in employed caregivers practicing in nursing homes.Methods:This cross-sectional study included 541 employed caregivers in 11 four-star nursing homes in Zhejiang Province from April to December 2022.Caregiver burden was assessed using the Zarit Burden Interview(ZBI).Demographic characteristics of participants,characteristics of the older patients with dementia,caring characteristics,training in dementia care,and caring abilities were collected for analysis of influencing factors.A hierarchical multiple regression analysis was conducted to explore the factors influencing the burden on employed caregivers in nursing homes.Results:The ZBI score of employed caregivers in nursing homes was 40.42±10.18,representing a moderate caregiver burden.Factors such as age(U=27.82,P<0.001),residence(U=7.89,P<0.001),educational level(H=55.81,P<0.001),self-care of older patients with dementia(H=85.21,P<0.001),daily care hours(H=73.25,P<0.001),number of older people with dementia cared for(H=14.56,P<0.012)and training in dementia care(U=-9.43,P<0.001)were significantly associated with caregiver burden.Caring ability was negatively associated with caregiver burden(r=-0.22,P<0.01).Furthermore,after controlling for demographic characteristics,the characteristics of older people with dementia,caring characteristics,training in dementia care,and caring ability explained 8.5%,5.8%,and 4.8%of the caregiver burden,respectively.Conclusion:The burden of employed caregivers on patients with dementia in nursing homes can be attributed to various factors.We recommend tailored interventions,such as dementia care training and reviewing the number and duration of hours worked to reduce the burden experienced by caregivers.

Coupling coordinated development among digital economy,regional innovation,and talent employment:A case study in the Hangzhou Metropolitan Circle,China

Coordinative development across various systems,particularly the economic,social,cultural,and human resources subsystems,is a key aspect of urban sustainability and has a direct impact on the quality of urbanization.The Hangzhou Metropolitan Circle,comprising Hangzhou City,Huzhou City,Jiaxing City,and Shaoxing City,was the first metropolitan circle approved by the National Development and Reform Commission(NDRC)as a demonstration of economic transformation in China.To evaluate the coupling coordination degree of the four cities and analyze the coordinative development in three systems(including digital economy,regional innovation,and talent employment),we collected panel data during 2015–2022 from these four cities.The development level of the three systems was evaluated by the standard deviation method and comprehensive development index.The results are as follows:(1)the level of coupling coordinated development of the three systems in the Hangzhou Metropolitan Circle was relatively low;(2)the coupling coordination degree of the four cities in the Hangzhou Metropolitan Circle showed significant regional differences,among which Hangzhou City was in the leading position,and Huzhou,Jiaxing,and Shaoxing cities made steady but slow progress in the coupling development of the three systems;and(3)the development of digital economy and talent employment needs to be strengthened.This study contributes to the coordinative development of Hangzhou Metropolitan Circle by innovatively focusing on the coupling coordination relationship among digital economy,regional innovation,and talent employment,which also meets the industrial layout of Hangzhou Metropolitan Circle.In this way,the optimal allocation and sustainable development of digital economy,regional innovation,and talent employment in the Hangzhou Metropolitan Circle can be achieved.

Digital Infrastructure and Common Prosperity: An Influence Mechanism and Effect Test

Common prosperity is an important goal of China’s modernization efforts,and narrowing the income gap among different regions and populations is crucial to achieving common prosperity.The construction of digital infrastructure has significantly boosted productivity and facilitated the diffusion of technology in less developed regions,leading to notable changes in labor employment and the income gap,which aligns with the goal of common prosperity.This paper explores the mechanism through which digital infrastructure influences common prosperity with a focus on employment,using panel data from 30 provinces in China between 2011 and 2021 for an empirical test.The research finds that digital infrastructure significantly promotes common prosperity.By expanding employment and increasing labor remuneration,the influence of digital infrastructure on common prosperity exhibits regional heterogeneity and a nonlinear threshold effect.The research suggests that the government should enhance investment in and construction of digital infrastructure,reduce the digital divide through policy support in rural areas,promote digital employment and skills training,and encourage industrial integration and enterprise participation.

BRI’s Employment Effect on Participating Countries and Mechanism Analysis

Based on the Belt and Road Initiative(BRI)as a quasi-natural experiment,this paper uses panel data from 124 countries between 2006 and 2019 to build a difference-in-differences(DID)model to investigate the BRI employment effect on participating countries and mechanisms.We observed that the BRI had significantly increased employment rates in participating countries,and that this result remained robust after using the instrumental variable(IV)to mitigate endogeneity and perform a robustness test.There are differences in the BRI’s employment effect depending on the income level,labor conditions,and the digital economy’s development level of BRI countries:compared with low-income countries and lower-middle-income countries,the BRI has a more significantly positive effect on the employment rates of upper-middle-income and high-income countries;the BRI’s employment effect is stronger in countries with higher labor market efficiencies and better labor relations;In countries with higher levels of digital economy,the BRI has a relatively greater positive effect on employment.The BRI has increased employment rates in participating countries on both the supply and demand sides by building infrastructure,interconnecting industries and resources,and improving human capital through the exchange of human resources.Further analysis suggests that the BRI’s employment effect promotes the sophistication of participating countries’employment structures,hence improving employment quality,and that participating countries’employment levels may continue to improve in the medium and long run.

Employment and development levels in rural areas of the Russian Federation

The development of agro-industrial complex is important for ensuring national food security and national health.The development of rural areas is subject to the development of agriculture and local infrastructure,as well as the availability of various services.This study selected 15 indicators in 2021 to analyze the employment and development levels in rural areas of 71 regions of the Russian Federation using the analytical grouping method.The results indicated that 20 regions(Group 1)had the highest percentage of rural population(33.10%).The percentage of population engaged in agriculture had the highest value(12.40%)in 31 regions(Group 2).Moreover,20 regions(Group 3)had the highest investments in fixed assets at the expense of municipal budget(11.80 USD/person).Increasing the investments in fixed assets carried out from the budget of the municipality can improve the employment level in rural areas.Then,we used cluster analysis to divide 14 regions of the Volga Federal District in the Russian Federation into 3 clusters.Cluster 1 covered Kirov Region and Republic of Mari El;Cluster 2 included Ulyanovsk Region,Saratov Region,Nizhny Novgorod Region,Perm Territory,Orenburg Region,Chuvash Region,and Republic of Mordovia;and Cluster 3 contained Republic of Tatarstan,Samara Region,Udmurtian Republic,Penza Region,and Republic of Bashkortostan.Results indicated that the 2 regions of Cluster 1 need to increase the availability of resources and natural gas and improve the investment attractiveness of rural areas.The 7 regions of Cluster 2 needed to develop infrastructure,public services,and agricultural production.We found the highest employment level in rural areas,the largest investments in fixed assets at the expense of municipal budget,the largest residential building area per 10,000 persons,and the largest individual residential building area in the 5 regions of Cluster 3.This study makes it possible to draw up a comprehensive regional development program and proves the need for the development of rural areas,which is especially important for the sustainable development of the Russian Federation.