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.

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.

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.

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.

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.

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.

Enhancing Overseas Chinese Graduate Employability:The Case of Chinese Graduates with Finnish Academic Qualifications

This paper explores ways to enhance overseas Chinese graduate employability by taking Finnish-educated Chinese students/graduates as an example.In so doing,it understands that graduate employability development is a joint effort of multiple stakeholders including students,graduates,academics,program coordinators,employers,and policymakers.Accordingly,it provides arguments and suggestions for how to enhance the employability of these graduates in terms of the labor market context,employers’beliefs and actions,the responsibilities of higher education institutions,and student/graduate commitment.It also points out two major challenges faced by overseas Chinese graduates as well as their educational providers,which are linked respectively to gaps between what graduates acquire in higher education and what is required in the labor market,as well as gaps from the employers’perspective:areas where employers need to understand more about universities and catch up with new ideas generated by them.

Analysis of the Employment Situation of Non Private Enterprises in Various Regions of China

In the past 30 years, Chinese enterprises have been a hot topic of discussion and concern among the general public in terms of economic and social status, ownership structure, business mechanism, and management level. Solving the problem of employment for the people is an important prerequisite for their peaceful living and work, as well as a prerequisite and foundation for building a harmonious society. The employment situation of private enterprises has always been of great concern to the outside world, and these two major jobs have always occupied an important position in the employment field of China that cannot be ignored. With the establishment of the market economy system, individual and private enterprises have become important components of the socialist economy, making significant contributions to economic development and social progress. The rapid development of China’s economy, on the one hand, is the embodiment of the superiority of China’s socialist market economic system, and on the other hand, it is the role of the tertiary industry and private enterprises in promoting the national economy. Since the 1990s, China’s private enterprises have become a new economic growth point for local and even national countries, and are one of the important ways to arrange employment and achieve social stability. This paper studies the employment of private enterprises and individuals from the perspective of statistics, extracts relevant data from China statistical Yearbook, uses the relevant knowledge of statistics to process the data, obtains the conclusion and puts forward relevant constructive suggestions.

协同育人格局下促进医学研究生高水平就业的探索

改善高校毕业生就业工作一直是难点和热点。面对这一现状,复旦大学附属儿科医院围绕历届毕业生职业发展情况,以高质量培养、高水平就业为目标,创新医学研究生管理工作方法和实施路径,形成“三位一体”协同育人格局,构建新型“培养-就业”体系,注重激发学生自我能动性,保障医学研究生高水平就业,并取得一系列就业工作实效。

上海市疾病预防控制中心就业见习基地运行效果评估:基于结果链模型

目的 对上海市疾病预防控制中心针对高校毕业学年学生开展的就业见习基地运行效果进行评估,并就提升就业见习工作的效果提出政策建议。方法 构建基于结果链模型的评估指标体系,通过客观资料收集,并对2018—2022年的往届见习学员和带教老师,以及2022年末的在岗见习学员,开展满意度调查,分析和评估上海市疾病预防控制中心就业见习基地运行效果。在此基础上,提出改进就业见习工作的建议与措施。结果 基于结果链模型构建包括5个一级指标、14个二级指标、32个三级指标的评估指标体系,并对2018—2022年上海市疾病预防控制中心就业见习基地的运行效果进行评分,得分84.8分。其中,与上海市疾病预防控制中心就业见习基地相关的未得满分指标有:投入环节,管理体系中的组织架构;产出环节,基地产出中的见习岗位类别;结果环节,见习学员和带教老师的政策认知情况。结论 2018—2022年,上海市疾病预防控制中心就业见习基地运行情况良好,取得了一定的成效,但是仍存在不足。建议通过重视政策宣传,多渠道宣传上海市就业见习政策;完善组织架构,落实事前、事中、事后管理;拓展岗位类别,培养多类型公共卫生人才;延长见习期限,重视实践能力培养等措施加以改进。

Rural transformation,income growth,and poverty reduction by region in China in the past four decades

China has experienced rapid rural transformation in the past four decades.Accompanying the rapid transformation is a significant rise in rural household income and a substantial fall in rural poverty.This paper examines the evolutions of and the relationships between rural transformation(high-value agriculture and rural non-farm employment)and its outcomes(per capita rural income and rural poverty incidence)using provincial-level data.The results show that 31 provinces/autonomous regions/municipalities have undergone significant rural transformation,but the level and speed of rural transformation differed considerably.Moreover,an increased level of rural transformation is often associated with higher per capita rural income and reduced rural poverty incidence.Notably,a category of provincial rural transformation based on high-value agriculture and rural non-farm employment is also analyzed.We further discuss the likely impacts of institutions,policies,and investments(IPIs)on rural transformation and conclude with policy implications.

Regional rural transformation and its association with household income and poverty incidence in Indonesia in the last two decades

Increasing rural household income and reducing poverty rank among Indonesia’s top development priorities.Promoting rural transformation is one strategic policy framework to achieve these goals.In the last three decades,agricultural production has shifted from low-value food crops to high-value commodities,such as horticulture,estate crops,and livestock.Previous studies have analyzed rural transformation in Indonesia at the national level,but information on the magnitudes of impact across regions remains scarce.This study aims to analyze the changes in rural transformation at a regional level in the past two decades.The research utilizes secondary data from Statistics Indonesia(BPS),covering 34 provinces from 2000 to 2020,analyzed using descriptive and panel data regression analyses.The results show an increasing trend in the share of high-value agriculture(RT_(1))and rural non-farm employment(RT_(2)).Both RT_(1)and RT_(2)are positively associated with the growth of rural household income and a lower poverty rate.However,the speed of structural transformation(ST),RT_(1),RT_(2),rural income growth,and poverty reduction vary across regions.This research implies that improving rural income and reducing poverty should be done by integrating policies,i.e.,promoting highvalue agriculture and expanding rural non-farm employment.Particular attention should also be given to provinces with slow growth in ST,RT_(1),RT_(2),and rural household income.

Employment Quality EvaluationModel Based on Hybrid Intelligent Algorithm

In order to solve the defect of large error in current employment quality evaluation,an employment quality evaluation model based on grey correlation degree method and fuzzy C-means(FCM)is proposed.Firstly,it analyzes the related research work of employment quality evaluation,establishes the employment quality evaluation index system,collects the index data,and normalizes the index data;Then,the weight value of employment quality evaluation index is determined by Grey relational analysis method,and some unimportant indexes are removed;Finally,the employment quality evaluation model is established by using fuzzy cluster analysis algorithm,and compared with other employment quality evaluation models.The test results show that the employment quality evaluation accuracy of the design model exceeds 93%,the employment quality evaluation error can meet the requirements of practical application,and the employment quality evaluation effect is much better than the comparison model.The comparison test verifies the superiority of the model.

Association between Occupational Change Trajectories and Mental Health: Results from the Korean Longitudinal Study of Aging

Objectives:This study was to longitudinally investigate the association between occupational change trajectories and mental health in the Korean population aged 45 years and older from the Korean Longitudinal Study of Aging(KLo-SA).Methods:After excluding missing values,the data of 6,224 participants from thefirst to eighth waves of the KLo-SA were analyzed using t-test,Analysis of variance(ANOVA),Group-based Trajectory Model(GBTM)from 1–5th KLoSA and Time-Lagged Generalized estimating equation(GEE)model from 5–8th KLoSA to analyze the association between occupational change trajectories and mental health in the Korean population aged 45 years and older.Results:An analysis of the association between occupational change trajectories and mental health demonstrated that,among all age group,the“sustained in unemployment”group had a worse MMSE and CESD score compared to“sustained WC”group.unlike the under-54 age group,those aged≥55 years demonstrated reductions in the MMSE and CESD scores in the sustained unemployment and the changed working condition from Standard BC to Unemployment groups,whereas those who underwent a change from the Standard WC to unemployment group only demonstrated a reduction in MMSE scores.Conclusions:There was a close relationship between occupational change trajectories and mental health.Therefore,this study can serve as the foundation for policies and institutional measures to manage the deteriorate mental health in the late middle-aged and older population.

Inclusive Finance,Income Gaps and Common Prosperity

According to the Report to the 20^(th) CPC National Congress,delivering common prosperity for all the people is an intrinsic requirement of Chinese modernization.Based on China Household Finance Survey(CHFS)data from 2015 to 2019,this study examines the effects of inclusive finance on China’s household income disparities and demonstrates how inclusive finance contributes to shared prosperity.Our empirical research reveals that inclusive finance has significantly decreased the income disparities between Chinese households.Inclusive finance has significantly increased the income levels of households below the 40^(th) percentile,making it more likely for them to move above the 40^(th) percentile of incomes,which is conducive to delivering common prosperity.Our analysis indicates that inclusive finance will reduce income disparities by assisting low-income households in starting a business and by promoting rural household employment.Reflecting its inclusive nature,further investigation reveals that inclusive finance has a greater positive impact on the income level of vulnerable households.Our research offers new evidence for comprehending the role of inclusive finance and a new interpretation of income disparities,with policy implications for accelerating Chinese modernization.