An evaluation of student satisfaction of the joint master programs at Foreign Trade University in Vietnam

Chen, Pi-Yun; Manh, Cuong Bui

doi:10.38203/jiem.020.2.0012

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…At the same time, along with the weak global market, the sharp decline in import demand, the rise of international trade protectionism, and other situations, China's foreign trade environment is deteriorating [ 4 ]. Especially since 2018, the Sino-US trade dispute has again brought serious impact and instability to China's foreign trade industry.…”

Section: Introductionmentioning

confidence: 99%

Correlation Analysis of China’s Foreign Trade Structure and Industrial Structure Based on Correlation and Mutual Influence

Zhou

Chen

2022

Computational Intelligence and Neuroscience

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In recent years, China’s foreign trade has continued to develop and achieved remarkable results, and the economic development trend has been steady and positive overall. However, although there are new opportunities for the development of China’s foreign trade, it also faces new challenges and dilemmas. Therefore, in the current international trade situation, it is of great significance to study the impact of China’s foreign trade on industrial structure and find the key points for the development of endogenous economic dynamics on this basis. China’s industrial structure has undergone a clear process of upgrading and is a major trading country for industrially manufactured goods. The results of the analysis of the subsectors show that the trend of structural upgrading within the industry is equally significant. At the same time, there is often a significant trend of synergistic changes in the percentage of processing trade and the percentage change of trade in high-tech products. Based on this, this paper analyzes the correlation between China’s foreign trade structure and industrial structure based on the correlation of mutual influence. The evolutionary algorithm has the advantages of a strong ability to search for global optimal solutions and good robustness, which is applied as the core algorithm of this paper. The study in this paper examines the interaction between industrial structure and trade structure from the perspective of matching the association between industrial structure and trade structure on the basis of measuring the industrial structure and trade structure at the regional level. The experimental results demonstrate the validity of the model in this paper.

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Section: Introductionmentioning

confidence: 99%

Correlation Analysis of China’s Foreign Trade Structure and Industrial Structure Based on Correlation and Mutual Influence

Zhou

Chen

2022

Computational Intelligence and Neuroscience

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“…Likewise, Al Hassani and Wilkins (2022) stated that student satisfaction enhances student retention in higher education institutions. Furthermore, satisfaction has a positive influence on the retention of customers irrespective of industry (Chen and Cuong, 2020). Based on the above discussion, the following hypothesis is proposed accordingly: H7: Student satisfaction has a significant influence on student retention.…”

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confidence: 97%

Student Satisfaction and Retention: Impact of Service Quality and Digital Transformation

Forid

Hafez

Khan

2022

MMI

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A country’s economic and technological development in the twenty-first century depends heavily on higher education. Similar to other countries, the majority of higher education institutions in Bangladesh are private universities that offer educational services alongside public (government-funded) universities. This study aims to investigate how service quality dimensions and digital transformation influence student satisfaction and student retention in private universities in Bangladesh. Data were acquired from a convenient sample, including students from the top five private universities in Bangladesh, through a self-administered questionnaire survey. The questionnaire was completed by 210 of the 235 students who were asked to participate. Each questionnaire was carefully examined. 200 were determined to be appropriate for this study. A conceptual model of eight factors, including the five dimensions of the SERVQUAL model, digital transformation, student satisfaction, and student retention, was framed and tested. Descriptive statistics (mean and standard deviation), multiple regression, and bivariate regression analyses were conducted using SPSS 26.0 to test the hypothesized relations. According to the findings of descriptive data, students are satisfied with the quality of private university services and digital transformation activities. This study reveals that all the service quality dimensions positively and significantly impact student satisfaction except the empathy dimension. It is also found that digital transformation substantially influences student satisfaction. Furthermore, student satisfaction has a positive and significant influence on student retention. To the best of the authors’ knowledge, this is the first initiative to investigate the impact of service quality dimensions and digital transformation on student satisfaction and student retention in the context of private universities in Bangladesh. This study contributes to higher education institutions for the improvement of service quality dimensions and the digital transformation to obtain student satisfaction and student retention in highly competitive educational sectors. Finally, this work argues that digital transformation in higher education is necessary for survival and growth in the twenty-first century.

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Measuring the Determinants of Student Satisfaction in Practical Teacher Training Education Program in China

Han,

Bhattacharyya,

Alias

et al. 2023

E-BPJ

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Despite extensive research on student satisfaction in HEIs, notable gaps exist in investigating the profound impact of practical teacher training in education programs, particularly in China. This study examines the relationships between student satisfaction and its predictors in practical teacher training among Chinese undergraduates. Results show that expectation, perceived administrative service quality, perceived teaching quality, and perceived value are significant predictors of student satisfaction. However, image and teacher-student interaction have no significant relationships with student satisfaction. The six constructs represent 49% of the variance in student satisfaction. These findings indicate the necessity for enhanced management of practical teacher training programs.

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An evaluation of student satisfaction of the joint master programs at Foreign Trade University in Vietnam

Cited by 3 publications

References 18 publications

Correlation Analysis of China’s Foreign Trade Structure and Industrial Structure Based on Correlation and Mutual Influence

Correlation Analysis of China’s Foreign Trade Structure and Industrial Structure Based on Correlation and Mutual Influence

Student Satisfaction and Retention: Impact of Service Quality and Digital Transformation

Measuring the Determinants of Student Satisfaction in Practical Teacher Training Education Program in China

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