Scholar: Human Sciences

EDITORIAL

2025-09-29T16:21:31+00:00

The Scholar: Human Sciences, a journal encompassing the fields of humanities and social sciences, has earned acclaim in the Thailand Citation Index (TCI) as a prominent publication since 2015. It currently holds the esteemed TCI: TIER1 classification. We take great pride in presenting the latest issue, which features a collection of manuscripts that have undergone rigorous evaluation. Each submission has been meticulously reviewed through a blinded review process by three specialized reviewers from different institutions, both internal and external to the authors. This peer-reviewed accreditation ensures the scholarly quality and integrity of the published articles.

This issue covers thirty articles. The first article titled “Factors Impacting Teachers' Happiness on Higher Education in Zhanjiang University of Science and Technology, China” explored the correlation between factors such as teachers' income, teachers' wealth, teachers' health, sense of gain, sense of fairness, and teachers' happiness.

The second article titled “Assessing Posttraumatic-Stress Disorder Symptoms among Former Rebels: Basis for Mental Health Care Intervention” investigated the socio-demographic characteristics and psychosocial health profile of the former rebels in terms of posttraumatic-stress symptomatology.

The third article titled “Exploring the Impact of Mobile Apps on English Vocabulary Learning Intentions Among Gen X Adults Learners in Chengdu, China” investigated the impact of Gen X users in Chengdu, China, on their English learning behavior intention by using the most popular English word learning Applications in China among system quality, information quality, service quality, perceived usefulness, attitude, technology characteristics, task characteristics, task-technology fit and behavior intention.

The fourth article titled “Influencing Factors of Students’ Use of New Media Teaching Classes on the Learning Attitude and Learning Satisfaction in Guangdong, China” explored the factors that influence the satisfaction and attitude of international trade students in Guangdong Province.

The fifth articled titled “Determining Factors of Financial Performance and Firm Value: A Case Study of a Rice Company in Chengdu, China” explored the factors affecting the financial performance and firm value of a rice company in Chengdu City, China.

The sixth article titled “A Study on the Influencing Factors of Students' Academic Performance in Guangdong Private University, China” examined the factors, which include school culture, teacher commitment, teacher emotional intelligence, teacher collective efficacy, and teacher instructional leadership, that improve students’ academic performance in a private university in Guangdong.

The seventh article titled “A Qualitative Study in Using the Curriculum Cycle Model and Genre Theory to Improve Students’ Business Negotiation Writing Performance in Chinese University Contexts” investigated the effectiveness of integrating a curriculum cycle model and genre theory to enhance Chinese university students' proficiency in business English negotiation writing.

The eighth article titled “Turning Trash into Treasure: Unveiling Public Approval and Government Energy Policies in Thailand's Waste-to-Energy Evolution” aimed to examine the significant impact of trust in government, perceived risk, perceived benefits, place attachment, government energy policies, public acceptance on waste-to-energy development.

The ninth article titled “Driving Factors of Students’ Achievement: A Case Study of a Private University in Zhanjiang, China” investigated the impact of four independent variables (teacher commitment, emotional intelligence, professional development, and professional community) on the dependent variable (student achievement).

The tenth article titled “Students’ Satisfaction with Blended Learning in a Public College in Chengdu, China” explored the impact of five independent variables: teaching presence, system quality, information quality, perceived usefulness, and self-efficacy.

The eleventh article titled “Factors Impacting E-shopping Intention Among Undergraduate Students in a Public University in China” explored the impact of college undergraduate students' e-shopping usefulness, attitude, and intention in Guangxi University of Science and Technology (GXUST), China.

The twelfth article titled “Factors Influencing Attitude and Purchased Intention Toward Electric Vehicles of Chinese Consumers in Shenzhen, China” determined the factors influencing Chinese consumers' attitudes and purchase intentions toward electric vehicles in Shenzhen, China.

The thirteenth article titled “Examining Behavioral Intention and Use Behavior in Online Learning Among Students of Vocal Language and Art College in Chengdu, China” explored the factors affecting students' behavioral intention and use behavior in the context of online learning at a private university specializing in vocal language and art college in Chengdu, China.

The fourteenth article titled “The Influencing Factors of Perceived Value, Satisfaction, And Intention to Reuse Online Shopping in College Students at A Public University in Hangzhou, China” determined the factors influencing perceived value, satisfaction, and intention to reuse online shopping among college students at a public university in Hangzhou, China.

The fifteenth article titled “Influencing Factors of Online Learning Courses Satisfaction in Art Major: A Case Study of Chongqing, China” employed a mixed-methods approach to investigate online learning satisfaction of students in art education.

The sixteenth article titled “Determinants of Students’ Learning Satisfaction in E-learning English Class in Chongqing University, China” attempted to evaluate the critical factors that have a major impact on students learning satisfaction in an online English course.

The seventeenth article titled “Determinants of Student Engagement in Nursing Vocational Education in Shanghai, China” studied the influence of seven independent variables (Analytical Skills, Experience Quality and Supportive Study Climate) on one dependent variable (Student Engagement).

The eighteenth article titled “An Analysis of Factors Influencing College Students' Satisfaction With E-learning: A Case Study of Guangdong City Technician College in Guangdong, China” investigated the influence of six independent variables (System Quality, Perceived Usefulness, Perceived Ease of Use, and Confirmation) on the dependent variable (Satisfaction) with e-learning.

The nineteenth article titled “Factors Affecting Consumers’ Conformity, Trust, and Purchase Intention in Live Streaming Shopping in Hangzhou, China” examined a causal relationship among professionalism, price discounts, immersion, parasocial interaction, social presence, consumer conformity, trust, purchase intention.

The twentieth article titled “Drivers Influencing Consumers' Online Shopping Intentions in Chengdu, China” investigated the key factors influencing online shopping behavior among people in Chengdu, China.

The twenty-first article titled “Factors Impacting Student Learning Performance in Blending Learning in a Graphic Design Course: A Case Study of Private University in Liaoning Province, China” investigated the impact of five independent variables (learning anxiety, learning attitude, learning motivation, social media usage, and feedback) on one dependent variable (student learning performance in blended learning).

The twenty-second article titled “Factors Impacting Students’ Confirmation, Learning Engagement, Satisfaction, and Continuous Intention of Online English Learning in Vocational Colleges in Hangzhou, China” examined first-year and second-year students’ satisfaction and continuous intention toward online English learning in Hangzhou, China.

The twenty-third article titled “Factors Influencing Undergraduate Students' Attitude and Behavioral Intention to Use Library social media in Sichuan, China” aimed to examine the factors influencing undergraduate students' behavioral intentions to utilize library social media services in China, focusing on Academic Library WeChat Official Accounts (ALWCOA).

The twenty-fourth article titled “Improving Student Satisfaction in The Learning Chinese as a Foreign Language in Dhaka, Bangladesh” explored the impact of five dependent variables (perceived teaching quality, emotional support, student-lecturer attachment, service quality, reputation, and physical environment) on the independent variable of student satisfaction.

The twenty-fifth article titled “Factors Influencing University Students’ User Satisfaction and Continuous Intention to Use Short Video Apps for Learning in Beijing, China” aimed to research the factors influencing University Students’ user satisfaction and continuous intention to Use Short Video App for Learning in Beijing, China.

The twenty-sixth article titled “Factors Impacting Vocational Education' Satisfaction, Learning Engagement, and Continuance Intention of MOOCs” aimed to enhance vocational school students' satisfaction, learning engagement, and intention to use MOOCs in Hangzhou, China.

The twenty-seventh article titled “Determinants of Students’ Blended Learning Engagement and Satisfaction Toward Students at Public Colleges in Hangzhou, China” posited causal relationships between teacher structured approach, student self-efficacy, learning assessment, interpersonal skills, perceived usefulness, student learning engagement, and student satisfaction.

The twenty-eighth article titled “Exploring the Drivers of Entrepreneurial Intentions and Behaviors Among Higher Vocational Students in Xuzhou, China” aimed to increase entrepreneurial intentions and promote entrepreneurial behavior among higher vocational students.

The twenty-ninth article titled “Exploring the Drivers of Undergraduates’ Perceived Usefulness and Intention to Adopt Cloud Computing: A Study in Chengdu, China” investigated the elements that affect the perceived usefulness and intention to use cloud computing among undergraduates in Chengdu, China.

The thirtieth article titled “Key Factors Shaping Satisfaction and Continued Use of MOOCs Among Computer Science Majors: Insights from Sichuan, China” determined how satisfied undergraduate computer science students are with using Massive Open Online Course (MOOCs) for learning at a science and technology university in Sichuan, China.

Factors Impacting Teachers' Happiness on Higher Education in Zhanjiang University of Science and Technology, China

2024-07-10T06:35:32+00:00

Purpose: The study explores the correlation between factors such as teachers' income, teachers' wealth, teachers' health, sense of gain, sense of fairness, and teachers' happiness. By strengthening the influencing factors, an appropriate strategic plan is identified to enhance teachers' happiness level ultimately. Research design, data, and methodology: The study employed the Instrument of Organization Culture (IOC) as a measure of validity and Cronbach's alpha (n=30) as a measure of reliability. Multiple linear regression (MLR) analysis was conducted on the valid questionnaires of 228 teachers from Zhanjiang University of Science and Technology to validate the significant relationships between variables. Subsequently, a strategic plan was implemented for 16 weeks involving a selected group of 30 teachers. Quantitative pre- and post-strategic plan stage results were compared using paired-sample t-tests. Results: In the multiple linear regression study, we found that teachers' income, teachers' wealth, teachers' health, sense of gain, and sense of fairness have a significant impact on teachers' happiness. The results of the paired-sample t-test indicate that all variables between the pre-and post-strategic plan stages show significant differences. Conclusions: Teachers' income, teachers' wealth, teachers' health, sense of gain, and sense of fairness can enhance the happiness of teachers at Zhanjiang University of Science and Technology.

Assessing Posttraumatic-Stress Disorder Symptoms among Former Rebels: Basis for Mental Health Care Intervention

2023-08-18T08:28:09+00:00

The study investigates the socio-demographic characteristics and psychosocial health profile of the former rebels in terms of posttraumatic-stress symptomatology. It also aimed to identify the psychopathological risks as bases of its proposed mental health treatment. This study utilized a sequential explanatory mixed methods design which employed the Posttraumatic Diagnostic Scale- Self Report for the DSM5 in assessing the participants’ psychosocial health condition. A semi-structured, in-depth individual interview was also conducted to gather qualitative data. There were 30 respondents in the quantitative phase of the study, they were the beneficiaries of the Philippine Enhanced Comprehensive Livelihood Integrated Program, based in a local government unit. Upon determining the psychopathological risks of the respondents, five were identified to have suffered the highest severity symptoms of PTSD, who were then the participants in the qualitative phase. Results reveal that all former rebels who participated in the study suffer from Posttraumatic Stress Disorder which necessitates proper psychological treatment to restore and rebuild their quality of life. The findings show that the former rebels’ mental health needs have to be properly addressed during their rehabilitation period before they are being mainstreamed in the society. Relevant policy and programs need not to overlook the former rebels’ psychosocial well-being.

Exploring the Impact of Mobile Apps on English Vocabulary Learning Intentions Among Gen X Adults Learners in Chengdu, China

2024-07-17T03:36:01+00:00

Purpose: The purpose of this study is to investigate the impact of Gen X users in Chengdu, China, on their English learning behavior intention by using the most popular English word learning Applications in China among system quality, information quality, service quality, perceived usefulness, attitude, technology characteristics, task characteristics, task-technology fit and behavior intention. Research design, data, and methodology: The researchers conducted the study based on quantitative research methods. The data were collected from 500 Gen X living in Chengdu who have used the top three English word-learning Applications in China to learn English. This study focuses on confirmatory factor analysis and structural equation modeling as statistical tools to test data, model accuracy, and key variables' influence. Results: The results show that behavioral intention has the most influence on the use attitude. In addition, system quality, information quality, service quality, attitude, technical characteristics, task characteristics, and personal perception are statistically significant and impact the behavioral intention. Nevertheless, technology characteristics has no significant impact on task-technology fit. Conclusions: Developers and educators can create more engaging, effective, and user-friendly English word learning applications that cater to the needs of Gen X users in Chengdu, China, which does not only enhance user satisfaction but also improve learning outcomes and foster a more positive attitude towards using mobile applications for language learning.

Influencing Factors of Students’ Use of New Media Teaching Classes on the Learning Attitude and Learning Satisfaction in Guangdong, China

2024-08-01T12:40:35+00:00

Purpose: This study aims to explore the factors that influence the satisfaction and attitude of international trade students in Guangdong Province. The conceptual framework proposes causal relationships among teacher-student interaction, students’ autonomy, teachers’ technical readiness, perceived ease of use, interactivity, satisfaction, and attitude. Research Design, data, and methods: Using the quantitative method (N = 500), a questionnaire survey was conducted among sophomores and juniors majoring in international trade at Zhanjiang University of Science and Technology, Guangdong Province. The nonprobability sampling methods include judgmental, quota, and convenient sampling for collecting data. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were used to analyze the data, including model fit, reliability, and construct validity. Result: Teacher-student interaction, teacher technical preparation, and perceived usability significantly affected students' learning satisfaction, and perceived usability and interaction affected students' attitudes. However, student autonomy has no significant effect on students' satisfaction with using new media. Conclusion: This study suggests that the management team and teachers of higher vocational colleges provide an assessment to measure the impact of new media classrooms on the development of higher vocational education to improve students’ satisfaction and attitude towards using new media classrooms.

Determining Factors of Financial Performance and Firm Value: A Case Study of a Rice Company in Chengdu, China

2024-07-29T04:21:27+00:00

Purpose: This study explores the factors affecting the financial performance and firm Value of a rice company in Chengdu City, China. The research framework reveals the causal relationships among corporate social responsibility, risk management, corporate governance, firm Size, financial performance, and firm value. Research Design, Data, and Methods: This study employs a quantitative research method, conducting a questionnaire survey on 500 employees of a selected company in Chengdu City, China. Non-probability sampling techniques are judgmental, and quota sampling. To analyze the data, we used confirmatory factor analysis and structural equation modeling to examine the model's fit, reliability, and construct validity. Results: The research results indicate that corporate social responsibility, risk management, and corporate governance do not have a significant impact on financial performance, while corporate governance has a significant influence on firm value. In addition, firm size positively impacts financial performance and significantly affects firm value through financial performance as a mediating variable. Corporate governance has the most significant impact on the company, followed by firm Size and financial performance. Conclusion: It is suggested that corporate governance be strengthened further and strategies for firm size expansion be explored to help a company formulate more accurate and effective business strategies, thereby improving financial performance and firm value.

A Study on the Influencing Factors of Students' Academic Performance in Guangdong Private University, China

2024-07-29T05:34:02+00:00

Purpose: This study aims to examine the factors, which include school culture, teacher commitment, teacher emotional intelligence, teacher collective efficacy, and teacher instructional leadership, that improve students’ academic performance in a private university in Guangdong. Research design, data, and methodology: A group of 30 students attend a 16-week strategic plan. A cohort of 146 students participated in the action research, employing a mixed-method approach that combines qualitative and quantitative methods to examine the impact of the strategic plan. The Instrument of Item Objective Congruence (IOC) has undergone validation by three experts, and the scale’s reliability and validity meet research standards. Hypotheses regarding the correlation between the five variables—school culture, teacher commitment, teacher emotional intelligence, teacher collective efficacy, teacher instructional leadership—and students’ academic performance have been statistically confirmed with significance. Results: Research findings demonstrate significant changes in school culture, teacher commitment, teacher emotional intelligence, teacher collective efficacy, teacher instructional leadership, and student academic performance before and after the strategic plan. Conclusions: The results confirmed that the strategic plan designed in this study positively impacted college students’ academic performance levels. It was evident that school culture, teacher commitment, emotional intelligence, collective efficacy, instructional leadership, and students’ academic performance showed significant improvements after the strategic plan.

A Qualitative Study in Using the Curriculum Cycle Model and Genre Theory to Improve Students’ Business Negotiation Writing Performance in Chinese University Contexts

2024-07-29T05:38:00+00:00

Purpose: This study investigates the effectiveness of integrating a curriculum cycle model and genre theory to enhance Chinese university students' proficiency in business English negotiation writing. Research Design, Data, and Methodology: The research employs a qualitative approach to explore the impact of the curriculum cycle model on students' writing abilities, perceptions, and preferences. After the experiment teaching for 8 weeks, twenty-eight undergraduate students majoring in English at Wuchang University of Technology, Wuhan, China participated in in-person interviews to gather qualitative data. Results: Findings from the interviews revealed that students held positive views regarding the curriculum cycle model, emphasizing its role in enhancing their negotiation writing skills. The study concludes that implementing such pedagogical approaches can significantly benefit students by equipping them with essential negotiation skills and fostering effective communication in business contexts. Conclusions: This research contributes to the field by demonstrating how innovative teaching methodologies can empower students to navigate and succeed in the complexities of professional communication.

Turning Trash into Treasure: Unveiling Public Approval and Government Energy Policies in Thailand's Waste-to-Energy Evolution

2024-08-13T07:45:24+00:00

Purpose: Waste-to-energy development in Thailand has gained significant attention to seeks sustainable solutions to its waste management challenges. Hence, this research aims to examine the significant impact of trust in government, perceived risk, perceived benefits, place attachment, government energy policies, public acceptance on waste-to-energy development. Research design, data, and methodology: The researcher assessed 500 residents in Bangkok Perimeters in Thailand. Target population are residents, living in Nonthaburi, Nakhon Pathom, Pathum Thani, Samutprakarn and Samutsakorn who are over 24 years old and over. There are purposive sampling, stratified random sampling, convenience and snowball sampling. Before the data collection, Content validity was assessed by item-objective congruence (IOC), and reliability test was conducted by the pilot test (n=35), using Cronbach’s Alpha. After the data collection, the data analysis was applied through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: The results show that trust in government, place attachment, and perceived benefits significantly impact perceived risk and public acceptance. Perceived risk strongly influences public acceptance, while government energy policies play a significant role in waste-to-energy development. Conclusions: The findings can contribute to the Thai government and public on the waste-to-energy development and related plans to accelerate the country’s waste management and energy consumption.

Driving Factors of Students’ Achievement: A Case Study of A Private University in Zhanjiang, China

2024-08-27T13:43:06+00:00

Purpose: This study explores the factors that affect students’ achievement in private universities in China. This study investigated the impact of four independent variables (teacher commitment, emotional intelligence, professional development, and professional community) on the dependent variable (student achievement). Research Design, Data, and Methodology: The validity and reliability of the survey questionnaire were tested using the Index of Item-Objective Congruence (IOC) and Cronbach Alpha (n=30). Multiple linear regression analysis was used to analyze the effective survey questionnaire data of 70 teachers from Zhanjiang University of Science and Technology to verify the relationship between independent and dependent variables. Then, a 14-week IDI intervention was conducted on 30 teachers, and paired sample t-tests were conducted on data before and after the IDI to verify the impact of IDI on variables. Results: The results of multiple linear regression analysis indicate that teacher commitment, emotional intelligence, professional development, and professional community have a significant impact on student achievement. The paired sample t-test results indicate that teacher commitment, emotional intelligence, professional development, and professional community have significantly improved after IDI, and student achievement has also significantly improved after IDI. Conclusions: Teacher commitment, emotional intelligence, professional development, and professional community can affect the student’s achievement at Chinese private universities. Student achievement can be enhanced by enhancing teacher commitment, emotional intelligence, professional development, and professional community.

Students’ Satisfaction with Blended Learning in a Public College in Chengdu, China

2024-08-19T06:50:10+00:00

Purpose: The study comprehensively explores the impact of five independent variables: teaching presence, system quality, information quality, perceived usefulness, and self-efficacy. The dependent variable is students’ satisfaction. Research design, data, and methodology: The research utilized the Index of Item-Objective Congruence (IOC) to assess validity and employed Cronbach’s Alpha in a pilot test with 40 participants to establish reliability. Subsequently, 80 valid responses from students at Chengdu Vocational and Technical College of Industry were subjected to multiple linear regression analysis. This analysis aimed to ascertain the significant relationships among the variables. Following this, a cohort of 30 students participated in a 14-week strategic plan. The quantitative data obtained before and after the strategic plan implementation were compared using a paired-sample t-test, providing a comprehensive evaluation of the plan’s effectiveness. Results: In the multiple linear regression analysis, it was found that factors such as teaching presence, system quality, information quality, perceived usefulness, and self-efficacy significantly impacted students’ satisfaction. Additionally, the paired-sample t-test results indicated a notable difference in students’ satisfaction before and after the implementation of the strategic plan. Conclusions: This research is dedicated to identifying and implementing strategies that effectively meet students’ specific needs and expectations in this region, thereby contributing to an improved educational experience.

Factors Impacting E-shopping Intention Among Undergraduate Students in a Public University in China

2024-08-27T13:40:09+00:00

Purpose: In developed countries, there has been extensive research on the individual intentions and behaviors of e-shopping. This study explores the impact of college undergraduate students' e-shopping usefulness, attitude, and intention in Guangxi University of Science and Technology (GXUST), China. The conceptual framework suggested a causal relationship between perceived value, trust, ease of use, usefulness, customer service, attitude, and e-shopping intention. Research design, data, and methodology: This study adopted a quantitative method (n=500), distributing questionnaires to undergraduate students in GXUST. The nonprobability sampling contains judgmental, quota, and convenience sampling in distributing online questionnaires to collect the data. Confirmatory factor analysis and structural equation modeling were used to analyze the collected data and validate the constructs' model fit, reliability, and validity. Result: Seven hypotheses have been proven to complete the survey purpose. The results showed that perceived value, trust, ease of use, and usefulness significantly impact attitudes toward e-shopping. Ease of use has a significant impact on usefulness. Attitude presented the strongest impact on e-shopping intention, followed by customer service. Conclusion: Online operators should optimize the e-shopping environment, create more convenient conditions, and improve the effectiveness and satisfaction of e-shopping to promote the rapid development of e-commerce.

Factors Influencing Attitude and Purchased Intention Toward Electric Vehicles of Chinese Consumers in Shenzhen, China

2024-08-27T13:45:33+00:00

Purpose: This research aims to determine the factors influencing Chinese consumers' attitudes and purchase intentions toward electric vehicles in Shenzhen, China. Research design, data, and methodology: This study adopts a quantitative analysis of the electric vehicle flagship stores in three of Shenzhen's most famous shopping plazas to study the factors affecting consumers' attitudes and purchasing intentions toward electric vehicles. The target group of this study is 500 consumers over 18 who have yet to experience purchasing an electric vehicle in Shenzhen, China The sampling method includes judgmental, quota and convenience sampling. The item-objective congruence (IOC) index and Cronbach’s Alpha in a pilot study (n=30) were conducted for validity and reliability testing. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, including model fit, reliability, and validity of the constructs. Results: The results show that environmental concerns, subjective norms, stereotypes, and price sensitivity significantly impact Chinese consumers' attitudes toward electric vehicles and purchase intention in Shenzhen. Conclusions: Six hypotheses were proven to fulfill research objectives. Therefore, it is recommended that businesses and managers understand consumers’ accurate intentions to increase consumers’ attitudes and purchase intentions toward electric vehicles.

Examining Behavioral Intention and Use Behavior in Online Learning Among Students of Vocal Language and Art College in Chengdu, China

2024-08-13T08:32:09+00:00

Purpose: This study aims to explore the factors affecting students' behavioral intention and use behavior in the context of online learning at a private university specializing in vocal language and art college in Chengdu, China. The conceptual framework incorporated perceived ease of use, usefulness, attitude toward use, social influence, trust, behavioral intention, and use behavior. Research design, data, and methodology: . The researcher employed a quantitative survey methodology to distribute questionnaires among the students at the targeted college. 472 valid data were assessed. Item-Objective Congruence (IOC) was evaluated for content validity. 40 students were involved in the pilot test for Cronbach’s Alpha reliability test. Confirmatory Factor Analysis (CFA) was conducted to ensure the construct validity of the relationship between the collected data and the proposed conceptual framework. Furthermore, Structural Equation Modeling (SEM) was utilized to assess the significant factors affecting the variables related to behavioral intention. Results: The results of the study confirmed all seven hypotheses. Notably, the results of this study testing the hypotheses indicate that behavioral intention significantly impacts use behavior. Conclusions: Future improvements for online learning platforms should focus on introducing interactive tutorials and guides, incorporating specialized tools tailored to creative fields, and bolstering feedback mechanisms.

The Influencing Factors of Perceived Value, Satisfaction, And Intention to Reuse Online Shopping in College Students at A Public University in Hangzhou, China

2024-08-19T07:55:05+00:00

Purpose: This research aims to determine the factors influencing perceived value, satisfaction, and intention to reuse online shopping among college students at a public university in Hangzhou, China. The conceptual framework contains information quality, parasocial, delivery, website service quality, customer satisfaction, intention to reuse. Research design, data, and methodology: Researchers used a quantitative method for distributing the questionnaire online or offline to a group of university students in public schools in Hangzhou who come from the four core majors of Zhejiang Business College. The item-objective congruence (IOC) index and Cronbach’s Alpha in a pilot study (n=30) were conducted for validity and reliability testing. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, including model fit, reliability, and validity of the constructs. Results: Information quality and parasocial interaction significantly influence perceived value. information quality, perceived value, parasocial interaction, and delivery significantly influence customer satisfaction. Furthermore, perceived value and customer satisfaction significantly influence intention to reuse. Nevertheless, website service quality has no significant influence on customer satisfaction. Conclusions: Improving customer satisfaction and reducing conversion costs are two major strategies for improving customer loyalty. Satisfaction actively influences consumers' intentions, with repeat purchase intention being one of the manifestations of this intention.

Influencing Factors of Online Learning Courses Satisfaction in Art Major: A Case Study of Chongqing, China

2024-08-27T14:06:03+00:00

Purpose: This study employs a mixed-methods approach to investigate online learning satisfaction of students in art education. It determines relationship between self-efficacy, content quality, interactivity, delivery method, social presence, and satisfaction with online learning course. Research design, data, and methodology: Qualitative methods include observations, interviews, and surveys, capturing insights into students' experiences and challenges. The target population is students, majoring in art at the School of Journalism and Communication, Sichuan International Studies University. Index of Item-Objective Congruence and pilot test were implemented to prove validity and reliability of the research items. The quantitative phase involves administering structured questionnaires to 80 students and analyzing data using SPSS. The strategic plan involves 30 students. Results: Integrating qualitative and quantitative findings, the study offers a comprehensive understanding of satisfaction in online art education. The paired-sample T-test analysis results for six variables related to student satisfaction, comparing the phases before and after implementing a strategic plan, has been found significant mean different. Conclusions: The research contributes to the discourse on online learning satisfaction, offering implications for designing effective online art education programs.

Determinants of Students’ Learning Satisfaction in E-learning English Class in Chongqing University, China

2024-08-27T14:08:17+00:00

Purpose: In a public university in Chongqing, China, this study attempts to evaluate the critical factors that have a major impact on students learning satisfaction in an online English course. Key variables are course content quality, perceived ease of use, perceived usefulness, confirmation, flow experience, and students' e-learning satisfaction. Research design, data, and methodology: 304 students in the seven journalism college classes were the subject of an investigation by the researcher using a quantitative approach and questionnaires. Convenience, quota, and judgmental sampling techniques are utilized. Before the data collection, the item-objective congruence index (IOC) and a pilot test (n=80) were carried out. Intervention Design Implementation (IDI) was conducted among 30 participants. Results: The results confirm that all the factors, such as course content quality, perceived ease of use, usefulness, flow experience, and confirmation, significantly impact students’ e-learning satisfaction. Conclusions: Administrators and faculty at public universities should focus on improving factors that affect students’ satisfaction with e-learning. By improving the quality of course content, making it easier to use and more attractive, increasing its usefulness, providing confirmation, and enhancing the flow experience, they can enhance students’ satisfaction with e-learning in English classes.

Determinants of Student Engagement in Nursing Vocational Education in Shanghai, China

2025-10-10T08:46:30+00:00

Purpose: The study investigates the influence of seven independent variables (Analytical Skills Experience Quality and Supportive Study Climate) on one dependent variable (Student Engagement). Additionally, it aims to identify significant differences between variables. Research design, data, and methodology: The research employed the Index of Item-Objective Congruence (IOC) for validity and a Cronbach's Alpha in a pilot test (n=100) for reliability. 100 valid responses from Shanghai Urban Construction Vocational College students were analyzed by multiple linear regression to verify the significant relationship between variables. Following this, 30 students underwent a 16-week Strategic Plan (SP). Afterward, the quantitative results from the post-strategic and pre-strategic plans were analyzed in the paired-sample t-test for comparison. Results: In multiple linear regression, the study revealed that analytical skills, interpersonal skills, learning assessments, positive emotions, student experience quality, and supportive study climate impacted student engagement, while interdisciplinary learning had no significant impact on student engagement. Finally, the results from the paired-sample t-test for comparison demonstrated a significant difference in student engagement between the post-strategic Plan and pre-strategic Plan stages. Conclusions: This research fosters student engagement by cultivating engagement skills in Shanghai, China.

An Analysis of Factors Influencing College Students' Satisfaction With E-learning: A Case Study of Guangdong City Technician College in Guangdong, China

2024-08-14T13:21:23+00:00

Purpose: This study investigates the influence of six independent variables (System Quality Perceived Usefulness, Perceived Ease of Use, and Confirmation) on the dependent variable (Satisfaction) with e-learning. Additionally, it aims to identify significant differences between pre-and post-strategic planning interventions. Research design, data, and methodology: The research utilized the Index of Item-Objective Congruence (IOC) for validity and Cronbach's Alpha in a pilot test (n=30) for reliability. Ninety valid responses from Guangdong City Technician College students were analyzed using multiple linear regression and ANOVA tests to verify the significant relationships between variables. Following this, a strategic planning intervention was implemented, and the same 90 students were surveyed post-intervention. Paired samples t-tests were conducted to compare pre-and post-intervention results. Results: The multiple linear regression analysis revealed that System Quality, Service Quality, Information Quality, Perceived Usefulness, Perceived Ease of Use, and Confirmation significantly impacted students' satisfaction with e-learning. The paired samples t-test demonstrated significant differences in all variables between the pre-and post-strategic planning stages, indicating the effectiveness of the interventions. Conclusions: This research highlights the importance of strategic planning in enhancing e-learning satisfaction by improving system and service quality, information relevance, usability, and perceived usefulness. The findings underscore the need for continuous monitoring and iterative improvements to maintain high levels of student satisfaction in e-learning environments.

Factors Affecting Consumers’ Conformity, Trust, and Purchase Intention in Live Streaming Shopping in Hangzhou, China

2024-09-07T14:08:38+00:00

Purpose: This research paper investigates the factors affecting consumers’ conformity, trust, and purchase intention in live-streaming shopping in Hangzhou, China. The conceptual framework proposed a causal relationship among professionalism, price discounts, immersion, parasocial interaction, social presence, consumer conformity, trust, purchase intention. Research design, data, and methodology: The researcher applied the quantitative method (n=500), distributing questionnaires to residents in Hangzhou who were over 18 years old and had a live-streaming shopping experience. The Nonprobability sampling includes judgmental, quota, and convenience sampling in collecting data and distributing surveys online and offline. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, including model fit, reliability, and validity of the constructs. Results: The results explained that professionalism, price discounts, immersion, parasocial interaction, social presence, consumer conformity, and trust significantly impacted purchase intention. Professionalism and price discounts had a significant impact on trust. Trust presented the strongest effect on purchase intention, followed by immersion, social presence, consumer conformity, parasocial interaction, price discounts, and professionalism. Price discounts presented the strongest effect on trust, followed by professionalism. Conclusions: Live streaming companies and live streamers are suggested to make good use of the marketing channel of live streaming to enhance consumers’ purchase intention.

Drivers Influencing Consumers' Online Shopping Intentions in Chengdu, China

2024-09-07T14:06:11+00:00

Purpose: This research paper investigates the key factors influencing online shopping behavior among people in Chengdu, China. The conceptual framework proposed a causal relationship among trust, convenience, usefulness, enjoyment, attitude towards online shopping, social influence, and intention to shop online. Research design, data, and methodology: The researcher employed a quantitative approach (n=500) to distribute questionnaires to eligible individuals across the five primary urban areas of Chengdu city. Non-probability sampling methods employed in this study encompass judgment sampling for selecting the primary urban areas of Chengdu city, quota sampling based on population distribution, and convenience sampling for data collection and survey distribution both online and offline. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) were conducted for data analysis, which included model fit, reliability, and construct validity assessments. Results: The results indicate that the convenience of online shopping and consumers' attitudes significantly influence the intention to engage in online shopping. Attitude has the greatest impact, followed by convenience. Conclusions: Five out of eight hypotheses were found to be supported, aligning with the research objectives of the paper. The results of this study can offer valuable insights for individuals intending to enter related fields, relevant professionals, and researchers, particularly those focusing on research in the Chengdu area.

Factors Impacting Student Learning Performance in Blending Learning in a Graphic Design Course: A Case Study of Private University in Liaoning Province, China

2024-09-08T13:06:25+00:00

Purpose: The study investigates the impact of five independent variables (learning anxiety, learning attitude, learning motivation, social media usage, and feedback) on one dependent variable (student learning performance in blended learning). Additionally, it aims to identify significant differences between variables. Research design, data, and methodology: In this study, the project-objective agreement index (IOC) was used to measure validity, and Cronbach’s Alpha was used as a pilot test (n=33). To verify the significant relationship between variables, multivariate linear regression analysis was conducted on 289 valid questionnaires issued to Liaoning Polytechnic Vocational University graphic design students. Subsequently, 33 students underwent a 12-week Strategic Plan Intervention Design (SP). Then, the results were tested against the paired sample t-test of the current and expected SP. Results: Multiple linear regression showed that learning motivation and feedback significantly affected students’ learning performance in blended learning while learning anxiety, learning attitude, and social media use had no significant effect. Conclusions: This statistical analysis helps identify significant differences or similarities between two data sets. At the same time, qualitative methods were used to conduct in-depth interviews with six students in our class to assess the effectiveness of specific strategies and activities to enhance learning motivation and provide constructive feedback.

Factors Impacting Students’ Confirmation, Learning Engagement, Satisfaction, and Continuous Intention of Online English Learning in Vocational Colleges in Hangzhou, China

2024-09-02T14:04:46+00:00

Purpose: This paper examines first-year and second-year students’ satisfaction and continuous intention toward online English learning in Hangzhou, China. The conceptual framework includes interactivity, perceived usefulness, confirmation, self-efficacy, learning engagement, satisfaction, and continuous intention. Research design, data, and methodology: The study adopted a quantitative research strategy and collected data from 500 participants in Zhejiang Business College in Hangzhou using online questionnaire distribution approach. Project-objective consistency (IOC) is used to examine content validity and Cronbach’s Alpha to test the reliability of each construct. Sampling techniques are judgment sampling, quota sampling, and convenience sampling. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) are adopted to test structural models and to explain eight hypotheses out of seven variables in the conceptual framework. Results: The results explicated that interactivity greatly affects the confirmation of perceived usefulness and significantly influences learning engagement. Interactivity presented the strongest impact on learning satisfaction, followed by perceived usefulness, learning engagement, and confirmation. Learning satisfaction greatly affects continuous intention. Nevertheless, a non-support relationship exists between students’ self-efficacy and learning satisfaction. Conclusions: Lecturers, relevant management personnel from school academic affairs, and online English learning platform designers are very necessary to optimize students’ interactivity and perceived usefulness to enhance confirmation and learning engagement, respectively.

Factors Influencing Undergraduate Students' Attitude and Behavioral Intention to Use Library Social Media in Sichuan, China

2024-09-02T14:23:01+00:00

Purpose: This study examines the factors influencing undergraduate students' behavioral intentions to utilize library social media services in China, focusing on Academic Library WeChat Official Accounts (ALWCOA). Research design, data, and methodology: By integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Theory of Reasoned Action (TRA) and the Decomposed Theory of Planned Behavior (DTPB), this research introduces trust and compatibility as new variables. Data were collected from 500 undergraduates with over a year of experience using these services and analyzed through Structural Equation Modeling (SEM). Results: The results confirm that all hypotheses are supported, demonstrating positive and significant effects. Specifically, behavioral intention is directly influenced by performance expectancy, effort expectancy, and social influence. additionally, trust and compatibility impact behavioral intention indirectly through the mediator of attitude. Social influence emerged as a direct predictor of behavioral intention, highlighting the importance of peer and societal factors in technology adoption. though an indirect factor, trust is vital in shaping positive attitudes toward ALWCOA usage. Conclusions: These findings underscore the necessity of creating a trustworthy environment and leveraging social networks to enhance user engagement. This research extends the UTAUT model's application to Academic Library WeChat Official Accounts, offering novel insights into user-centered design and operational strategies.

Improving Student Satisfaction in The Learning Chinese as a Foreign Language in Dhaka, Bangladesh

2024-09-02T14:30:37+00:00

Purpose: This study mainly explores the impact of five dependent variables (perceived teaching quality, emotional support, student-lecturer attachment, service quality, reputation, and physical environment) on the independent variable of student satisfaction. Research design, data, and methodology: This study used Item-Objective Congruence (IOC) to test validity and Cronbach's Alpha coefficient to test reliability in a pilot test (n=30). Multiple linear regression was used to analyze the questionnaire survey results of 90 Chinese language students from the University of Dhaka in Bangladesh to verify whether the independent variable supports the dependent variable. Then, a 12-week strategic plan will be implemented for 30 students. Finally, paired samples T-tests were used to analyze the quantitative results and compare them before and after. Results: RE3 (The university has a good image) was removed from the IOC results. Then, the results of multiple linear regression showed that perceived teaching quality, emotional support, and student-lecturer attachment had no significant influence on student satisfaction. In contrast, service quality, reputation, and physical environment significantly influenced student satisfaction. Finally, the comparison results of paired samples T-tests show a significant difference in service quality, physical environment, and student satisfaction, while there is no significant difference in reputation. Conclusions: This study aims to improve student satisfaction with learning Chinese as a foreign language in Dhaka, Bangladesh, by studying the factors influencing student satisfaction.

Factors Influencing University Students’ User Satisfaction and Continuous Intention to Use Short Video Apps for Learning in Beijing, China

2024-09-15T06:06:02+00:00

Purpose: This article aimed to research the factors influencing University Students’ user satisfaction and continuous intention to Use Short Video App for Learning in Beijing, China. The conceptual framework presented cause-and-effect relationships between product originality, satisfaction, product demonstrability, privacy protection behavior, new product novelty, continuous intention to use, and information social influence. Research design, data, and methodology: The researcher adopted a quantitative technique (n=500) to administer the questionnaire to students in Beijing, China. The researcher employed non-probability sampling methods, including judgmental sampling for selecting three schools, quota sampling to determine the sample size, and convenience sampling for data collection and distribution of questionnaires both online and offline. Data analysis was conducted using structural equation modeling (SEM) and confirmatory factor analysis (CFA) to assess model fit, reliability, and construct validity. Results: The uniqueness of a product has a considerable effect on users’ satisfaction. The ability to demonstrate a product has a notable impact on user satisfaction. Behaviors that protect privacy have a significant influence on user satisfaction. The innovation of new products has a substantial impact on user satisfaction. Satisfaction plays an important role in the intention to continue using. Normative social influence has a significant effect on the intention to continue using. Conclusions: This study suggested that to make BiliBili more effective, policymakers and programmed operators could increase product originality, product demonstrability, privacy protection behavior, new product novelty, and information social influence.

Factors Impacting Vocational Education' Satisfaction, Learning Engagement, and Continuance Intention of MOOCs

2024-09-02T14:48:57+00:00

Purpose: This study aims to enhance vocational school students' satisfaction, learning engagement, and intention to use MOOCs in Hangzhou, China. Research design, data, and methodology: The quantitative method (N=550) was used to distribute questionnaires to first-year students and collect sample data. The validity and reliability of the questionnaire were tested by project-objective consistency test and pilot test before delivery. Confirmatory factor analysis (CFA) and structural equation model (SEM) were used to analyze the data, verify the model's goodness of fit, the structure's validity, and research hypothesis testing. Results: The research results show that the Perceived Usefulness, Satisfaction, and Learning Engagement of conceptual models have a significant impact on Continuance interaction. Course material developers, course teachers, and senior managers of higher education institutions, when comprehensively evaluating the existing or upcoming MOOC platforms, should ensure that the human-machine interaction, human-machine system interaction, human-machine message interaction, and flow experience attributes are reasonable and practical and that students can indeed improve the efficiency of learning using the system. To further enhance students' satisfaction in using MOOCs and further Continuance Intention to Use MOOCs learning. Conclusions: MOOC platform managers should explicitly link the use of the platform to learner activities and positive learning outcomes.

Determinants of Students’ Blended Learning Engagement and Satisfaction Toward Students at Public Colleges in Hangzhou, China

2024-09-06T14:08:37+00:00

Purpose: This study investigates key factors influencing student engagement and satisfaction in blended learning at public colleges in Hangzhou, China. The conceptual framework posits causal relationships between teacher structured approach, student self-efficacy, learning assessment, interpersonal skills, perceived usefulness, student learning engagement, and student satisfaction. Research design, data, and methodology: The study employed a quantitative research approach (N=500), distributing questionnaires to first- and second-year students at Zhejiang Business College, Hangzhou, China. Non-probability sampling methods were utilized, including judgmental, quota, and convenience sampling. Statistical analyses comprised descriptive statistics, tests of normality, validity and reliability analyses, and goodness-of-fit indices. Confirmatory Factor Analysis and Structural Equation Modeling addressed the research questions. Results: Findings indicate that student satisfaction is significantly influenced by student learning engagement and perceived usefulness, while student learning engagement is significantly influenced by student self-efficacy, learning assessment, and teacher structured approach. Conclusions: Validating five of six hypotheses, the study achieved its primary research goals. Recommendations include implementing improvements and interventions in higher education to enhance efficiency, interactivity, and student engagement in blended learning environments, better meeting student needs and expectations, thus promoting academic success and personal development.

Exploring the Drivers of Entrepreneurial Intentions and Behaviors Among Higher Vocational Students in Xuzhou, China

2024-09-15T06:11:37+00:00

Purpose: This study aims to examine the factors that influence entrepreneurial behavior and entrepreneurial intention among higher vocational students in Xuzhou higher education. The conceptual framework proposed a causal relationship among attitude, subjective norms, perceived behavioral control, entrepreneurship education, perceived feasibility, perceived desirability, prior entrepreneurial exposure, entrepreneurial intention, and entrepreneurial behavior. Research design, data, and methodology: In this study, a quantitative method (n=500) was used to distribute questionnaires to sophomore to junior students at a higher education institution in Xuzhou City, Jiangsu Province, China. The study used a quota sampling method to sample classes in each of the three disciplines of engineering, business, humanities, and social sciences in the university, and the convenience sampling method was used to collect data and distribute the questionnaires online and offline. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, and they included model fit, reliability, and validity of the constructs. Results: First, higher vocational students' entrepreneurial intentions to be entrepreneurs significantly impact their willingness to act as entrepreneurs. Second, attitude, subjective norms, entrepreneurship education, perceived feasibility, perceived desirability, and prior entrepreneurial experience all play a role in entrepreneurial behavior. Conclusions: Seven of the eight hypotheses formulated in this study achieved the research objective: to increase entrepreneurial intentions and promote entrepreneurial behavior among higher vocational students.

Exploring the Drivers of Undergraduates’ Perceived Usefulness and Intention to Adopt Cloud Computing: A Study in Chengdu, China

2024-09-15T06:01:14+00:00

Purpose: This paper investigates the elements that affect the perceived usefulness and intention to use cloud computing among undergraduates in Chengdu, China. Seven latent variables were specifically chosen, which were perceived ease of use, subjective norms, perceived usefulness, attitude, perceived cost of usage, perceived security, and intention to use. Research Design, Data, and Methodology: The researcher employed quantitative research methodologies and delivered 500 questionnaires to undergraduates at the target universities who were enrolled in four key majors. This survey made use of the multistage sampling approach. The associations between the variables under investigation were ascertained using the structural equation model (SEM) and confirmatory factor analysis (CFA). The examination of the research data validated all the conjectures, revealing that the technology's perceived usefulness was the key motivator for university students to interact with cloud computing. Results: The results indicated important references for curriculum design and promotion strategies in cloud computing education in universities, as well as empirical evidence for education administrators and policymakers to formulate more effective educational technology policies, encouraging the incorporation and assimilation of cloud computing technologies within academic environments, thereby enhancing its accessibility and utilization. Conclusions: The findings revealed that perceived usefulness exerted the greatest pronounced influence on the dependent variable, affecting the decision to employ cloud computing.

Key Factors Shaping Satisfaction and Continued Use of MOOCs Among Computer Science Majors: Insights from Sichuan, China

2024-09-05T13:59:28+00:00

Purpose: This study determines how satisfied undergraduate computer science students are with using Massive Open Online Course (MOOCs) for learning at a science and technology university in Sichuan, China. The study establishes a theoretical framework comprising seven variables (information quality, confirmation, system quality, perceived ease of use, satisfaction, perceived usefulness, and continuance intention). Research Design, Data, and Methodology: A quantitative survey approach was employed to survey 500 undergraduate computer science students who had used MOOCs in their academic study for at least one year, utilizing a questionnaire as the primary instrument. Survey data were gathered through a multi-stage strategy involving judgment and quota sampling. Confirmatory factor analysis was used to evaluate the data to confirm the measurement model's validity and ensure that each observed variable appropriately reflects its corresponding latent factor. Subsequently, additional structural equation modeling analyses are used to evaluate the measurement model's accuracy, investigate the connections between the variables in the structural model. Results: The findings from the study supported the research assumptions, particularly in showing that continuance intention is significantly affected by satisfaction, with perceived usefulness having the most immediate and major effect on satisfaction. Conclusions: The findings are critical in determining students' satisfaction and preparedness to continue with MOOCs. Consequently, educational reforms should be tailored accordingly.