Number Of College Students Research Articles

Effects of the COVID-19 Pandemic on Depressive Symptoms, Including Clinical and Subthreshold Levels, and Eating Behaviors in First-Year University Students

Introduction: During the coronavirus disease 2019 (COVID-19) pandemic, university students experienced unusual environmental stresses, and the number of university students with depressive symptoms increased. The pandemic had a profoundly negative impact on the mental health of first-year students because they were not prepared to face academic and social stresses. The purpose of this study was to investigate the effect of the COVID-19 pandemic on depressive symptoms, eating behaviors, and stress-coping ability among first-year university students. Methods: A total of 8,424 first-year students, 2,043 males and 1,636 females who entered university in Japan in 2021–2022 (during the pandemic) and 2,912 males and 1,833 females who entered university in Japan in 2018–2019 (before the pandemic), participated. We investigated the differences in depressive symptoms (using Beck Depression Inventory II [BDI-II]), eating behaviors (using Eating Attitudes Test-26 [EAT-26] and Bulimic Inventory Test, Edinburgh [BITE]), and stress coping (using Coping Inventory for Stressful Situations [CISS], which has three subscales) between first-year students before and during the pandemic. We divided the students into three categories (clinical, subthreshold, and nonsymptomatic) according to depressive symptoms and eating behaviors based on BDI-ll and EAT-26 scores and compared the frequencies of the three categories at two time points. Results: First-year students during the pandemic showed a higher percentage of depressive symptoms, including clinical and subthreshold levels, than first-year students before the pandemic but did not show disordered eating behaviors. Additionally, the CISS task-oriented score was significantly lower for students with depressive symptoms, including clinical and subthreshold levels, during the pandemic than before the pandemic in females. Conclusions: This study suggests that it may be important to provide first-year university students with more information about depressive symptom awareness, including clinical and subthreshold levels, and to provide appropriate ways for stress coping from many angles and early support in pandemic conditions.

Analysis on the Phenomenon of "A Difficult to Find" in the Study Room for Postgraduate Entrance Examination

With the continuous expansion of undergraduate colleges and universities in recent years, the number of undergraduates is increasing, and the number of graduates is also increasing. The employment problem of college students is highly concerned by the society. Most college students find it difficult to get an ideal offer after graduation. So a new way, "postgraduate examination", "examination public", "examination compilation" and other words began to enter people's attention. In recent years, the number of college students taking the entrance exam has increased dramatically, with the number of applicants exceeding 4.74 million in 2022 and expected to reach 4.91 million in 2024. With the improvement of education level and teaching facilities, students' understanding of academics has also been further developed. Although most students choose to take the postgraduate entrance exam due to employment problems, there are still some students who take the entrance exam for academic research. Therefore, with the prevalence of "research craze", the state also began to adopt the policy of expanding the enrollment of graduate students. In addition, most colleges and universities have opened up special classrooms or self-study rooms for their own candidates, and the surge in the number of students has also led to the "one difficult to find" self-study rooms. Therefore, this paper will start from the analysis of the phenomenon of the entrance examination craze, the analysis of the main motivation of students and the impact of the entrance examination craze. The phenomenon of research craze brings deep thought to individuals and society.

The Relationship Between Stress Coping Styles and Test Anxiety of Undergraduates

The number of college students in the current society is huge. The examination is a effective basic method for every college students to check their learning abilities. But at the same time, examinations also brings college students more pressures. Previous studies have proved that immature stress coping styles will have an impact on test anxiety. In view of this, This study was designed to examine stress coping styles and test anxiety using college students as subjects.. On the basis of previous studies, questionnaire survey was adopted to investigate the current situation of stress coping styles and test anxiety among college students in a university.The relationship between the two variables was explored through data analysis. The research results are as follows:1. Test anxiety have a negative association with the mature factors in stress coping style (problem-solving, seeking help).2. Test anxiety have a favorable link with immature factors in stress coping styles (self-blame, fantasy, withdrawal, rationalization).3. The level of test anxiety of college students is generally high.College students should face all kinds of stressful events with a good attitude and the right way to cope with pressure, actively find solutions. At the same time, they can ask others for help when they cannot solve their own problems.

The Application of Apprenticeships in Germany and the United Kingdom to the Reform of Chinese Vocational Education and Training

Since the number of college students in China is tremendously increasing nowadays, the economic structure in China is going through a huge transformation, and adequate human resources are being needed desperately by the skill-intensive industry. The Chinese government is concerned that the deficiency of apprentices in certain industries will threaten the economy. Effective policies, therefore, should be made to carry out reform of vocational education and the training system. This paper draws conclusions about the strategies applied in German and the United Kingdom apprenticeships from data, which originate from government documents and published papers. Furthermore, the author discusses how to apply useful experience to the reform in China, estimating the directions of vocational education and training development. Through research, it is suggested that reform should be based on the revised laws. The government should introduce more stakeholder participation mechanisms and improve education quality, guiding the ideology via mass media and publicizing the benefits of vocational education and its promising prospects after the reform. Planning should be strategic and closely related to facts. In addition, special institutional research organizations are supposed to be established.

A Case Study on the Influence of Parental Psychological Control on Anxiety in College Students

In recent years, incidents such as jumping off buildings caused by mental health issues among college students have been reported, which is heartbreaking. College students are the talent reserve for various national undertakings and the future pillars of the country. If college students experience widespread psychological problems such as anxiety, it will have a negative impact on the country. Through analyzing existing data, we found that a considerable number of college students believe that an important factor causing psychological problems is family issues, with parental psychological control being the main issue. This study uses case analysis as the starting point to explore the major culprit of college students' psychological problems - anxiety, as well as the underlying family issues. The objective of the study is to investigate the family causes behind anxiety among college students, in order to better address their mental health issues. The research results indicate that strong psychological control by parents, especially in families, can easily lead to parent-child conflicts and deepen the spread of anxiety among college students.

The "Prisoner's Dilemma" and Countermeasures of Tuition Fee Collection in Colleges and Universities

In recent years, the scale of higher education institutions in China has been expanding year by year, and the number of college students has been increasing year by year, and the problem of tuition fee arrears has become more and more prominent, which is called a major problem in the financial work of colleges and universities, causing certain interference to the economic operation of colleges and universities, and also has a great impact on the moral education of college students. Based on this, the paper uses game theory to establish the game model of "Prisoner's Dilemma" for tuition fee collection in colleges and universities, and the strategic game model between tuition fee arrears and supervision, in order to explore the root causes of tuition fee collection difficulties in colleges and universities in China, and to give corresponding countermeasures with the conclusion of game equilibrium.

(Non)fungibility of socio-cultural capital for rural-based students in South African universities

The number of university students coming from rural areas has significantly increased in South Africa in the last two decades. While this is a positive sign of inclusive social growth and development, the fact that 70% of South African universities are still located in urban areas creates challenges for a number of these students. This is also compounded by the fact that most rural schools in South Africa offer sub-optimal preparation for post-school activities. As such, the first barrier for most of these students is negotiating various levels of access to higher education (HE), using forms of social and cultural capital that may be incommensurate with urban-based HE institutions. Using an in-depth review of literature on the subject of rural education, transition to higher education, student success and reflections on the professional experience of the authors in student support services in higher education. This study argues that since most South African universities are “urban enclaves”, students from rural areas take time to adapt and accumulate relevant socio-cultural capital to enable them to thrive and succeed. The transition of students from rural schools to urban-based universities is a socio-cultural as much as it is an epistemological mobility. As such, this “troubled transition” of rural students can be ameliorated through a trans-sectoral or transdisciplinary transitional intervention to simultaneously enable epistemological access and create commensurate socio-cultural capital. However, previous interventions on student transition have been generic and lacked the nuanced intersectional analysis of rurality on student access and success.Transdisciplinary contribution: The study proposes a trans-sectoral or transdisciplinary transitional space in which education institutions (basic and HE) collaborate with government and non-state partners to ensure sufficient and effective transition, especially for rural school learners.

Research on the socioeconomic factors that influence the development of voluntary, non-remunerated blood donation in China-A correlation and regression analysis based on data from 2012 to 2018.

Previous research has shown that socioeconomic factors, such as income and education, are associated with blood donation behavior. This study aims to investigate the factors that influence blood donation behavior using a large database of blood donation records and to provide further empirical evidence and insights into the factors that influence blood donation behavior and to identify potential strategies to increase blood donation rates in China. This study employed correlation analysis and regression analysis to investigate the impact of socioeconomic factors on blood donation rates in 36 major cities in China. The study also used the K-Means clustering algorithm to identify the socioeconomic factors that influence blood donation behavior at the per capita level. Additionally, the study conducted correlation analysis between the donor's age groups and the socioeconomic factors. The indices of economy and education were determined by correlation analysis. At the city level, overall economic output and university student populations were positively correlated with total blood donation times. However, at the per capita level, this linear relationship disappeared. By applying the K-Means clustering algorithm, the cities were divided into subgroups where the linear relationship reemerged. The study also found that the number of college students had a linear relationship with blood donors between the ages of 18-34. City characteristics and demographics significantly impact blood donation rates in different ways. A universal policy may have limited effect given the heterogeneity across cities. Tailored interventions targeting specific city clusters and education levels are needed to promote blood donation behavior, especially among youth and students. Investment in education and targeted education on blood donation appear particularly impactful. A combined approach integrating social and economic policies will likely be most effective.

Spatiotemporal patterns and driving mechanism of tourism ecological security in Guangxi, China

Tourism ecological security (TES) is an important index reflecting the sustainable development of the regional economy. The construction of the China and ASEAN Free Trade Area has increased the total tourist consumption of Guangxi province by 36.48%. Unfortunately, overconsumption of resources, air pollution, disturbance of indigenous life, and other environmental degradation problems emerged due to the significant increase in tourists. Measuring the resilience of the tourism ecosystem is an urgent need to promote the high-quality development of tourism in Guangxi. To explore the dynamic changes in TES and its driving mechanism, the DPSIR (driver–pressure–state–impact–response) model for the tourism ecosystem was developed. The dynamic changes in TES and its driving mechanism from 2010 to 2019 were analyzed using fuzzy matter-element analysis, Markov chains, Geodetector, and other methods. The results show that: (1) the TES value increased steadily by 72.73%; the improvement speed was Northeast > Southwest > Southeast > Northwest; (2) TES was negatively correlated with location, 14 cities developed independently; (3) the TES has a smaller probability to shift the lower level; (4) urbanization, water consumption, green area, tourism revenue, and the number of students in colleges had significant effects on TES. Four policies were proposed to improve TES: (1) developing forest tourism; (2) implementing greening projects in abandoned mining areas; (3) increasing tourism technical personnel; and (4) reducing clearance time for inbound tourists.

The Shortcomings and Improvement Strategies of Public Physical Education Courses in Chinese Universities

With the development of China’s higher education, China’s university education has developed rapidly and the number of students enrolled has been increasing. At present, the number of college students in China has exceeded 24 million, showing a prosperous scene. However, with the rapid development of college education, the participation rate of college students in sports is generally low, and the college physical education courses set up to promote college students’ sports have not played their due role. This study analyzes the shortcomings of current college physical education and proposes that college physical education in China should change the current situation of outdated teaching concepts, unreasonable teaching evaluation system, insufficient teaching content, and cultivate college students’ interest in sports and lifelong sports.

The Status and the Future of the English Language in Jordan

This paper explores the English language status in Jordan in the past, present, and future. The predictions for the future depend on the historical performance of both Jordanian learners of English and developments in Jordanian institutions providing English teaching as a foreign language for the previous century. The study discusses the policies which may improve English education at public and private schools and universities. Besides, the research is going to try to provide sophisticated anticipation for the status of the English language in Jordan for the next 30 years or more. The primary finding is that the growth of Departments of English and the number of university students using English for their majors are following the Fibonacci Sequence. The study may benefit teachers, students, researchers, linguists, language planners, and policymakers. The findings are also discussed within Communication Accommodation Theory (Giles, 1980, 2001; Giles & Johnson, 1987; Giles & Harwood, 1997) and social identity theory (Tajfel &Turner, 1986; Turner & Reynolds 2001).

Relationship between determinants of higher education and economic development: The case of Kazakhstan

This study aims to examine the relationship between higher education and economic development determinants in Kazakhstan’s regions. The paper used two sets of indicators of three-time series: 2010, 2015, and 2020. The analysis constructed a correlation using a panel dataset for 15 regions of Kazakhstan compiled by the Statistics Bureau of Kazakhstan and the National Bank. The first set reflects the determinants of higher education (number of students in colleges and universities, number of teaching staff, and the existing ICT infrastructure in universities). The second set includes indicators of regional economic development (GRP per capita and the population’s income level). The results showed a causal relationship between economic development and the determinants of higher education in the regions of Kazakhstan, which depend on the period. Surprisingly, the number of university students has almost no effect on GRP per capita and the population’s income level. For 2015–2020, the study observed the emergence and strengthening of correlations between economic growth and the development of innovations in universities. The findings also identified Mangystau, Atyrau, North Kazakhstan, and Pavlodar as regions with low innovation development in education. Therefore, the country’s higher education development policy should encourage and strengthen knowledge management systems in these regions. The study concludes that higher education and economic indicators significantly influence the growth of the economy in Kazakhstan. AcknowledgmentThe study was carried out within the framework of program-targeted IRN BR18574240 funding by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan “Development Strategy of Kazakhstan Regional Potential: Assessment of Socio-Cultural and Economic Potentials, Roadmap, Models and Scenarios Planning”.

Determinants of Market Structure and Demand: A Panel Data Study on Turkish Airports

The aim of this research is to reveal the factors that determine the number of airlines at the airport and the demand for the market. In addition, another objective of the research is to reveal the market structure and the changes in the market structure using concentration measurement tools is another research purpose. The twenty-eight airports in Turkey were examined by panel data analysis between the years 2007-2018. Regarding the market structure in general, decreases have been observed in the concentration values over time. In other words, airports have become more competitive over time. The panel data results show that the number of airlines at airports is strongly influenced by the number of passengers in the relevant market, the city’s GDP, the number of university students, the number of visitors, and the hub airport. On the other hand, it is evident that the number of airline carriers operating in the relevant market, the city’s GDP, its population, the number of university students, the presence of a hub airport, and the number of tourists have a substantial impact on the demand at airports. Results obtained in this research will contribute to the literature by providing new models of market structure and demand. It is thought that the research will guide airline companies and airport managers in terms of predicting demand. Key Words: Airports, Panel Data, Air Travel Demand, Market Structure, Competition. JEL Classification: L11, L93, R41

An Analysis of College Students' Employment Psychology and Self-regulation under Employment Pressure

The number of college students is increasing year by year with the expansion of colleges and universities, and the generalization and popularization of higher education in China has become inevitable. Although the generalization of higher education has brought about the improvement of national quality education, the number of college graduates is also increasing, which leads to the gradual increase of employment pressure on the graduates of higher education institutions. Based on this, how to help college students face the pressure correctly for adjusting their psychological problems and developing smoothly in time has become an urgent problem on the whole society. This paper analyzes the current employment situation faced by college students, and elaborates the psychological performance of college students under the employment pressure, focusing on the psychological self-regulation measures of college students.

Increasing the Scientific Potential in the Russian Regions - the Strategic National Priorities of Russia

The article analyzes the theoretical approaches to the concept of "scientific potential", provides an overview of foreign and domestic methodological approaches to assessing the scientific potential of national and regional economies. For a comparative assessment of the scientific potential of a number of Russian regions-analogues, a methodology based on an integrated approach has been formed, which includes elements of leading author's and institutional methods. Five modules of indicators have been identified: material and technical equipment, the level of education of scientific personnel, the volume and structure of scientific research and development, amount of funding, organizational structure of the scientific sphere. The relationship between the socio-economic development of the region and the actual and probabilistic level of the scientific potential of the territory is proved. In addition, it has been proven that the main factors are the level of funding and the quantity and quality of scientific personnel. This approach has been tested in some Russian regions of the Volga Federal District and the Ural Federal District. The center of comparison in the article is the Perm Territory. Regression analysis was applied to predict the development of the scientific potential of the analyzed region. To build a qualitative model, an effective indicator and factors explaining it were chosen: advanced production technologies developed, the number of scientific organizations, the number of scientificpersonnel, internal costs for research and development, the number of researchers with scientific degrees, the number of university students, the number of patents issued, the average salary researcher, the amount of funding from the federal budget. Regression analysis showed that the developed advanced manufacturing technologies are more affected by changes in the size of internal costs for research and development, as well as the number of researchers with scientific degrees. Thanks to the regression model, it was revealed that active financing of scientific activities in the region contributes to the emergence of highly qualified scientific personnel.

A measurement method for mental health based on dynamic multimodal feature recognition.

The number of college students with mental problems has increased significantly, particularly during COVID-19. However, the clinical features of early-stage psychological problems are subclinical, so the optimal intervention treatment period can easily be missed. Artificial intelligence technology can efficiently assist in assessing mental health problems by mining the deep correlation of multi-dimensional data of patients, providing ideas for solving the screening of normal psychological problems in large-scale college students. Therefore, we propose a mental health assessment method that integrates traditional scales and multimodal intelligent recognition technology to support the large-scale and normalized screening of mental health problems in colleges and universities. Firstly, utilize the psychological assessment scales based on human-computer interaction to conduct health questionnaires based on traditional methods. Secondly, integrate machine learning technology to identify the state of college students and assess the severity of psychological problems. Finally, the experiments showed that the proposed multimodal intelligent recognition method has high accuracy and can better proofread normal scale results. This study recruited 1,500 students for this mental health assessment. The results showed that the incidence of moderate or higher stress, anxiety, and depression was 36.3, 48.1, and 23.0%, which is consistent with the results of our multiple targeted tests. Therefore, the interactive multimodality emotion recognition method proposed provides an effective way for large-scale mental health screening, monitoring, and intervening in college students' mental health problems.

College English Intelligent Writing Score System Based on Big Data Analysis and Deep Learning Algorithm

With the development of technologies such as big data analysis and deep learning, various industries have begun to integrate with big data analysis and deep learning and continue to promote the development of the industry. This system is an intelligent writing scoring system for college English teaching. It uses popular big data analysis and deep learning to distinguish training algorithms. From 2015 to 2022, the number of college students taking exams has increased yearly, with an increase of more than 50%. Therefore, the system proposes a text vector calculation method that can find matching samples in the text set after the text is weighted by the weight function and uses deep learning to distinguish the algorithm evaluates the matched text, and finally can get the final score according to the content quality, semantic coherence, text readability, and other aspects of the text. Compared with traditional manual scoring, this technology is more convenient, quick, concise, and effective. This system is significant for improving the efficiency of teaching English writing in college.

Exploring Student Housing Demand, Supply Side and Planning Policy Responses in a Small University City: Studentification in Durham, UK

Growth in the number of university students has increased demand for accommodation beyond that which universities themselves can provide, provoking private investor supply-side responses such as houses in multiple occupation (HMOs) and purpose-built student accommodation (PBSA). Such developments can lead to high concentrations of students in areas proximate to university colleges and campuses. The movement of large numbers of transitory students into well-established residential areas in university cities, termed studentification, leads to socioeconomic and physical changes. We deploy a mixed-methods approach to analyze qualitative and quantitative data, exploring the role of market participants and revealing the extent and impact of studentification in Durham, a small historic university city in North East England with a high relative student population. The research confirms that studentification was driven by key actors across two distinct phases: conversion of terraced houses into HMOs by private landlords, subsequently restricted by planning regulations, followed by development of PBSA by institutional investors supported by and in collaboration with the local authority and university. Consequently, studentification in Durham has become more dispersed, resulting in increased house prices, rents and competition for investment opportunities farther afield, causing exclusionary displacement of local residents and reducing the supply of family and social housing. We present a detailed timeline of studentification in Durham and reveal a new geography of studentification that extends to peripheral areas of the city and offer some salutary lessons in respect of planning and housing management policy responses to high demand for student accommodation.

Innovation and Practice of Employment Guidance Teaching Mode Guided by Improving Employment Ability

The number of college students is increasing every year, so the difficulty of employment is in front of all colleges and universities, so improving the employability of college students is a problem that needs to be solved. Based on the investigation of the current teaching situation of college students' employment guidance course and the analysis of the reasons for the current teaching situation of college students' employment guidance course, this paper puts forward some measures to innovate the teaching mode of college students' employment guidance course, aiming to help and guide the improvement of college students' employment ability.

Analysis of Cultivated Land Area and Urbanization Rate Based on Spatial Coordination

The study of the regional effects of urban competitiveness on housing prices and their impact is of great significance to real estate market operations, consumer purchases and government decision-making. This study takes 32 major cities as research samples, draws on the more mature urban competitiveness index system, selects 8 representative factors, collects panel data such as statistical yearbook, and uses principal component analysis regression equation to establish the influence of urban competitiveness on housing price. The model analyzes the extent to which major competitiveness factors affect housing prices. The results show that: 1 The regional GDP and the balance of household savings play a more important role in the change of housing prices. The impact of environmental factors on housing prices is gradually expanding. The impact of urban real estate development investment on housing prices is getting smaller and smaller. The tertiary industry creates comfort for urban life and has a greater impact on housing prices. The total population at the end of the year and the number of students in colleges and universities have a negative impact on housing prices; the total population at the end of the year, the completion of real estate development investment, and the proportion of the tertiary industry have a greater impact on housing prices in the eastern region; Factors such as economic fundamentals have a greater impact.