Journal of Interdisciplinary Research (ISSN: 2408-1906)

Factors Affecting the Employability of Final-Year Undergraduate Students in Kunming, China

2025-03-17T12:41:04+00:00

Purpose: The study examines the key determinants influencing the employability of final-year undergraduate students at YTB University, Kunming, China. This research integrates multiple theoretical frameworks and empirical literature to construct a comprehensive model that explores the impact of Communication Skills, Academic Performance, Social Mobility Skills, and General Attitude on graduates’ employability. Research design, data and methodology: The study employed a quantitative approach with a multi-stage sampling technique to ensure a representative sample across four majors. The primary data collection instrument was a 5-point Likert scale questionnaire, validated through expert assessment and a pilot test to ensure reliability. 360 completed questionnaires were analyzed to test the proposed hypotheses and explore the causal relationships between the identified factors and graduate employability. Results: The research findings confirmed that Communication Skills, Academic Performance, Social Mobility Skills, and General Attitude significantly influence the employability of final-year undergraduate students. The results demonstrated substantial effects of these factors on graduates' workforce readiness, reinforcing their critical role in preparing students for labor market integration. Conclusions: The empirical findings underscore the need for higher education institutions to enhance academic training, career development programs, and skill-building initiatives that address labor market expectations.

Factors Impacting Student Satisfaction in Online Design Education: A Case Study of a Public University in Nanchang, China

2025-04-09T07:44:36+00:00

Purpose: The study was designed to explore the factors influencing the online education satisfaction of undergraduate students at Art College of Nanchang University, China. Four variables of competence, responsiveness, empathy, and patience were investigated for their effects on the dependent variable of student satisfaction. Research design, data and methodology: The item-objective consistency index (IOC) was used to measure the validity of the survey questionnaire, and Cronbach's alpha was used for the pilot test (n=90). The 90 valid student questionnaires were analyzed by multiple linear regression to analyze the significant relationship between variables. A 12-week Intervention Design Implementation (IDI) was conducted with 30 undergraduate students (n=30) and three faculty representatives who had experienced online education. Then, Pre- and Post-IDI quantitative results were compared using paired-sample t-tests. Results: The study found that teachers' competence, responsiveness, empathy, and patience significantly impacted students' online learning satisfaction. The interviews revealed that post-intervention students widely reported that the teachers' teaching content was more appealing and practical, which enhanced students' trust in the teachers and their sense of security in learning. This boosted students' emotional engagement and satisfaction. Conclusions: The results indicate that systematic enhancement of teachers' competence could significantly improve students' online learning experience, revealing the importance of the balance between technological empowerment and humanistic care for improving education quality.

Understanding the Drivers of Digital Library Use: Evidence from College Students in Chengdu, China

2025-03-17T12:53:00+00:00

Purpose: This study aims to explore the factors influencing students' attitudes and behavioral intentions toward using digital libraries in universities and colleges in Sichuan Province, China. Research design, data and methodology: This study employs quantitative methods and structured questionnaires to collect sample data. Before distributing the questionnaire, the alignment between the research objectives and survey items will be assessed, and a small-scale pre-test will be conducted to ensure content validity and reliability. Subsequently, two statistical techniques, confirmatory factor analysis and structural equation modeling—will be applied to analyze the collected data. This process will assess the model’s fit and clarify causal relationships between variables, providing a solid foundation for hypothesis testing. Results: The conceptual framework has been shown to effectively predict college students' behavioral intentions (BI) regarding digital library usage. Notably, Effort Expectancy (EE) and Social Influence (SI) are the most influential factors driving this intention. Conclusions: EE emerges as the most reliable predictor of business intelligence (BI) in the context of digital library usage. Additionally, IT was found to indirectly influence BI by shaping UA. Based on these insights, the study suggests that by leveraging advanced information technology solutions, providing high-quality services, and ensuring strict information security, digital libraries can more effectively meet users' needs, thereby promoting wider adoption and supporting the sustainable development of higher education.

Key Influencers of College Students' Learning Outcomes in Online Education in Chengdu

2025-03-17T13:02:16+00:00

Purpose: This study aims to identify and explore the factors influencing college students' satisfaction and learning outcomes in online education in Chengdu, China. Research design, data and methodology: A quantitative research method was employed, with data collected through questionnaires distributed to the target population. To ensure the validity and reliability of the instrument, project-to-objective consistency (IOC) and Cronbach's Alpha tests were conducted before survey distribution. The collected data were analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM) to test the research hypotheses, assess the model's goodness of fit, and explore causal relationships between variables. Results: The analysis results indicate that the proposed conceptual model effectively predicts and explains learning outcomes (LO) in online education. Student satisfaction (SS) emerged as a key predictor of learning outcomes, directly influencing student engagement and performance. Additionally, factors such as teachers' technology readiness, structured teaching approaches, students' technology readiness, and self-efficacy were found to have a direct impact on student satisfaction. Conclusions: Based on these findings, the study recommends that higher education institutions enhance both students' and faculty members' technological readiness and foster students' self-efficacy to improve satisfaction and learning outcomes in online education.

Factors Contributing to Undergraduate Students' Satisfaction and Continuance Intention of the Chaoxing Learning Platform in Yibin, China

2025-03-17T13:31:35+00:00

Purpose: This study identified key factors influencing undergraduate students' satisfaction and continuance intention to use the Chaoxing Learning Platform in Yibin, China. The conceptual framework illustrated the cause-and-effect relationships between System Quality (SQ), Information Quality (IQ), Perceived Usefulness (PU), Confirmation (COF), Subjective Norm (SN), Satisfaction (SAT), and Continuance Intention (CI). Research design, data and methodology: The researcher employed a quantitative approach (n=500) to distribute questionnaires to undergraduate students from the School of Mechanical Engineering at Sichuan University of Science & Engineering in Yibin, Sichuan Province, China. The study utilized non-probability sampling techniques, including judgmental sampling to select four target grades, quota sampling to determine the sample size, and convenience sampling for data collection and online questionnaire distribution. Data analysis was performed using structural equation modeling (SEM) and confirmatory factor analysis (CFA) to assess model fit, reliability, and construct validity. Results: The results indicated that System Quality, Information Quality, Perceived Usefulness, and Confirmation significantly impacted Satisfaction. Additionally, Satisfaction and Subjective Norm significantly influenced Continuance Intention. Conclusions: It is recommended that university administrators and platform developers focus on improving factors such as system quality, information quality, and perceived usefulness. Additionally, promoting social influence through instructor and peer engagement can enhance student satisfaction and encourage the long-term use of the Chaoxing Learning Platform.

Factors Affecting Patients’ Attitudes and Behavioral Intentions Toward Using Hospital Online Services in Shanghai, China

2025-04-02T15:13:33+00:00

Purpose: The research aimed to examine the factors affecting patients’ attitudes and behavioral intentions toward using hospital online services. The conceptual framework is grounded based on Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to understand the attitudes and behavioral intention of patients. Research design, data and methodology: The study employed a non-probability sampling procedure to select participants. A questionnaire was developed using a Five-point Likert scale and tested for content validity and reliability through Item-Objective Congruence (IOC) and Cronbach's Alpha. Confirmatory Factor Analysis (CFA) was conducted to ensure the model's validity, and Structural Equation Modeling (SEM) was utilized to assess the model fit and test the hypotheses. Results: The analysis confirmed that satisfaction, social influence, promotion conditions have significant direct impact on behavioral intentions, and perceived usefulness and perceived usefulness have significant indirect impact on behavioral intentions through attitude. Conclusions: The research results found that satisfaction, social influence, promotion condition, perceived usefulness, perceived ease of use, and attitude significantly influence the patients' behavioral intention to use online registration systems, which indicates the significant function of these factors in developing digital health service adoption.

Factors Affecting Satisfaction and Loyalty Toward University Education: A Case Study of Students at Public Universities in Chengdu, China

2025-04-15T01:19:02+00:00

Purpose: This paper examines the factors influencing educational satisfaction and loyalty toward university education in public universities in Chengdu, China. It presents a case study investigating the perspectives of current students. The research focuses on the causal relationships between Teaching Staff (TS), Curriculum (CC), Infrastructure Facilities (IF), Placement Services (PS), Institutional Image (IM), Student Satisfaction (SS), and Student Loyalty (SL) in higher education. Research design, data and methodology: This study employs a quantitative approach (N=503) to survey university students. The questionnaire's reliability and validity were assessed through IOC and pilot testing. A combination of purposive, stratified random, and convenience sampling was used to target students at Sichuan University, China. Data were collected via an online questionnaire, with valid responses analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: Research indicates that teaching staff, curriculum, infrastructure, image, and placement services significantly influence student satisfaction, which in turn affects student loyalty. Among these factors, faculty has the least impact on student satisfaction. Conclusions: All seven hypotheses in this study aligned with the research objectives. These findings can help higher education administrators, particularly in public universities in Chengdu, western China, assess and develop strategies to enhance student satisfaction and loyalty, ultimately supporting the growth of public universities in the region.

Evaluating Factors Influencing University Students' Satisfaction and Continued Use of Health Smartwatches in Chengdu

2025-04-09T07:56:56+00:00

Purpose: This study aims to identify the key factors influencing university students' satisfaction and continued use of health smartwatches in Chengdu Factors evaluated in the study include perceived ease of use, perceived usefulness, enjoyment, AI user experience, AI trust, satisfaction, and continuance intention. Research design, data and methodology: The researchers employed quantitative techniques (n = 500) to conduct a questionnaire survey among undergraduate students at Chengdu Medical College. The sample was selected using non-probability sampling methods, including judgmental sampling, quota sampling, and convenience sampling. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used to analyze the data and test the proposed research hypotheses. Results: The analysis shows that perceived usefulness, enjoyment, AI experience, and AI trust significantly influence student satisfaction in using smartwatches. Additionally, perceived usefulness is statistically proven to be driven by perceived ease of use. Student satisfaction, in turn, influences continued use of health smartwatches. Conclusions: The statistics support the six research hypotheses proposed. Thus, it is recommended to optimize the ease of use of smartwatches by enhancing their functionality for greater user-friendliness. Additionally, incorporating more accurate monitoring data and enhancing online protection can promote satisfaction and continued use.

Online Course Satisfaction and Continuance Among Materials Science and Engineering Students

2025-04-15T04:52:03+00:00

Purpose: This study examines the key factors influencing online course satisfaction and continuance intention among undergraduate students majoring in Materials Science and Engineering at three public universities in Chengdu, China. Research design, data and methodology: A quantitative survey was conducted among 481 undergraduate Materials Science and Engineering students from three public universities in Chengdu, China. A validated questionnaire using a five-point Likert scale was developed, with reliability confirmed via pilot testing. Data were analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to examine relationships among key variables. Results: The findings indicate that all hypotheses were supported, with satisfaction having the most significant impact on continuance intention. This highlights that online education has become an essential aspect of university competitiveness. Investigating online course satisfaction and continuance intention can help universities develop more attractive online course systems, thereby enhancing their brand influence. Conclusions: The study’s findings provide data-driven support for educational policymakers, helping local education authorities formulate more practical policies related to online education and promote educational reform. This research can assist educational institutions in improving online course design, enhancing the learning experience, and advancing educational modernization. Additionally, it offers insights into market trends and the future development of the education sector.

A Study on Factors Enhancing Perceived Employability Among Students in Yunnan, China

2025-04-09T08:09:46+00:00

Purpose: This study aims to explore the impact of four independent variables—career self-management, proactive personality, self-efficacy, and career adaptability—on a dependent variable, perceived employability. Additionally, this study seeks to identify significant differences among these variables. Research design, data and methodology: The research employed the Index of Item-Objective Congruence (IOC) to assess validity and Cronbach's Alpha in a pilot test (n=30) to evaluate reliability. A multiple linear regression analysis was conducted on 128 valid questionnaires from students at Yunnan Vocational College of Agriculture to examine significant relationships between variables. Subsequently, a 14-week strategic plan (SP) was implemented for 30 students. Afterward, the quantitative results from current-SP and expected-SP were compared and analyzed using a paired sample t-test. Results: Multivariate linear regression analysis revealed that career self-management, proactive personality, self-efficacy, and career adaptability significantly influence students' perceived employability. The results of paired-sample t-tests indicated significant differences between the current-SP and expected-SP stages in career self-management, proactive personality, self-efficacy, career adaptability, and perceived employability. Conclusions: The objective of this study is to enhance students' career development and school employment rates by fostering students' career self-management, proactive personality, self-efficacy, and career adaptability. This approach is expected to enhance perceived employability.

Examining the Factors Impacting Undergraduate Satisfaction and Repurchase Intention Toward E-Commerce Platforms in Yibin, China

2025-03-17T13:43:52+00:00

Purpose: This study examined key factors impacting undergraduate students' satisfaction and repurchase intention toward e-commerce platforms in Yibin, China. The conceptual framework explored the relationships among System Quality (STQ), Information Quality (IQ), Service Quality (SVQ), Popularity (POP), Satisfaction (SAT), E-Trust (ET), and Repurchase Intention (RPI). Research design, data and methodology: The researcher employed a quantitative approach (n=500), administering questionnaires to undergraduate students from the School of Mechanical Engineering, Sichuan University of Science & Engineering, Yibin, China. Non-probability sampling methods included judgmental sampling for target selection, quota sampling for sample size determination, and convenience sampling for online data collection. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) assessed model fit, reliability, and construct validity. Results: The results revealed that system quality, information quality, service quality, and popularity significantly influenced satisfaction, which acted as a mediating variable affecting repurchase intention. Information quality had the strongest impact on satisfaction, followed by service quality, system quality, and popularity. Additionally, e-trust significantly influenced repurchase intention. Conclusions: Based on these findings, e-commerce platform operators should focus on enhancing system performance, information reliability, service excellence, and platform recognition to elevate user satisfaction. Additionally, building e-trust can significantly reinforce undergraduate users' repurchase intentions.

Determinants of Student Loyalty: A Case Study of Chongqing University of Arts and Sciences

2025-04-15T02:51:08+00:00

Purpose: This study investigated the influence of five independent variables, student satisfaction, image, commitment, service quality, and university sustainability practices, on the dependent variable, student loyalty. It also assessed differences between pre- and post-strategic plan implementations. Research design, data and methodology: A mixed-methods approach was adopted. Instrument validity was confirmed using the Index of Item-Objective Congruence (IOC), and reliability was ensured through a pilot test with Cronbach’s Alpha. Data obtained from a purposive sample of 80 teachers were analyzed using multiple linear regression (MLR) to test the relationships between variables. Based on the results, a 16-week strategic plan was implemented across the university, with its impact assessed using a paired-sample t-test. Results: MLR results showed that all five variables had a significant positive effect on student loyalty (p < 0.05), with image (β = 0.298) and student satisfaction (β = 0.294) having the strongest impact. The paired-sample t-test revealed significant improvements across all variables, including loyalty, after the strategic plan. Conclusions: This study contributes to the understanding of loyalty-building in higher education by demonstrating that targeted improvements in satisfaction, image, commitment, service quality, and sustainability enhance loyalty. The findings provide actionable insights for improving student retention through targeted institutional development.

An Analysis of Key Factors Influencing Job Burnout Among University Teachers in Tangshan

2025-04-15T02:44:57+00:00

Purpose: This study investigates the influence of five independent variables—Job Characteristics, Work-Family Conflict, Perceived Organizational Support, Quality of Working Life, and Psychological Well-being—on a dependent variable, Job Burnout. Additionally, it aims to identify significant differences among these variables. Research design, data and methodology: This study employed the Index of Item-Objective Congruence for validity testing and Cronbach’s Alpha (n = 30) in a pilot test to assess reliability. Data collection involved 80 valid questionnaires from students at Yunnan Vocational College of Agriculture, which were analyzed using multiple linear regression to examine significant relationships between variables. Following this, a 12-week strategic plan (SP) was implemented for 40 students. To evaluate its effectiveness, quantitative results from current-SP and expected-SP were compared and analyzed using a paired sample t-test. Results: The analysis revealed that Job Characteristics, Work-Family Conflict, and Psychological Well-being had a significant impact on Job Burnout, whereas Perceived Organizational Support and Quality of Working Life did not. Finally, the results of the paired-sample t-test demonstrated significant differences in Job Burnout between Current-SP and Expected-SP. Conclusions: This research aims to analyze the factors influencing teachers' job burnout in the context of Tangshan, China. Job Characteristics, Work-Family Conflict, and Psychological Well-being are key factors that policymakers and universities should address to create a more sustainable and supportive work environment.

Enhancing the Competitive Performance of Catering Enterprises through Knowledge Sharing and Open Innovation

2025-04-15T03:10:43+00:00

Purpose: This study examined the factors influencing knowledge sharing, open innovation, and competitive performance in restaurant firms in Zhanjiang, China. The conceptual framework explored cause-and-effect relationships among Commitment (CO), Shared Language (SL), Shared Vision (SV), Enjoyment in Helping Others (EHO), Knowledge Sharing (KS), Knowledge Hiding (KH), Open Innovation (OI), and Competitive Performance (CP). Research design, data and methodology: A quantitative technique with a sample of 511 practitioners from catering enterprises was employed. Non-probability sampling, comprising judgmental, quota, and convenience methods, was used to select five firms and collect data both online and offline. While effective for targeted data collection, these methods may have limited the generalizability of the findings. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were used to assess model fit, reliability, and construct validity. Results: The results revealed that CO, SL, and SV significantly enhanced KS, while EHO and KH directly impacted OI. Furthermore, OI positively influenced CP. All seven hypotheses were statistically supported. Conclusions: The findings indicated that fostering organizational commitment, a shared language, and a unified vision promoted effective knowledge sharing, which, along with prosocial behavior and reduced knowledge hiding, drove open innovation. Open innovation, in turn, significantly boosted competitive performance. Managers were encouraged to invest in internal knowledge-sharing mechanisms to strengthen innovation and improve business competitiveness.

Exploring Art and Design Students’ Satisfaction with Folk Art Workshops: A Case Study from Neijiang, China

2025-04-15T04:48:24+00:00

Purpose: This study investigates the effects of six experiential factors, perceived communication, perceived trust, service, product, social value, and emotional value, on student satisfaction in folk art sales workshops, and examines changes following an educational intervention. Research design, data and methodology: A two-stage quantitative design was applied. First, a survey was distributed to 110 art and design students. Instrument validity was assessed using the Item-Objective Congruence (IOC) index, and a pilot test (n=30) confirmed reliability. Multiple linear regression analysis was conducted to determine the influence of the six independent variables on student satisfaction. Subsequently, a workshop-based intervention spanning eight weeks was implemented with 30 students to enhance experiential dimensions. Paired-sample t-tests were then used to evaluate pre- and post-intervention changes. Results: Regression results indicated that perceived communication (β=0.345), perceived trust (β=0.293), service (β=0.191), product (β=-0.136), and emotional value (β=0.197) significantly influenced satisfaction (R²=0.82), while social value had no significant effect (β=0.081). Paired-sample t-tests revealed statistically significant improvements in all satisfaction dimensions, including overall student satisfaction, from pre- to post-intervention. Conclusions: This study offers practical insights for enhancing student satisfaction in folk art education by identifying key experiential factors. It also provides a theoretical foundation for improving workshop design and fostering more engaging, value-driven learning experiences in art and design education.

Determinants of Team Performance in Hospitality Team Learning: A Case Study at a Polytechnic in Hangzhou

2025-07-01T08:39:53+00:00

Purpose: The purpose of this study is to explore the factors influencing team performance in team-based learning within a hospitality program at a polytechnic in Hangzhou, China. Research design, data and methodology: A mixed methods design was adopted. Quantitative data were collected through surveys from 80 students and analyzed using multiple linear regression (MLR) to test the conceptual framework. A 12-week Intervention Design Implementation (IDI) was then carried out with a group of 30 students. Pre- and post-intervention surveys were compared using paired-sample t-tests. Qualitative interviews with students and teachers supported the intervention design and provided contextual understanding. Results: MLR analysis indicated that knowledge sharing (β = 0.345, p = 0.027) and team cohesion (β = 0.622, p < 0.01) significantly influenced team performance (R² = 0.783), while coordination and collective efficacy were not statistically significant. However, paired-sample t-tests showed significant improvements in all four factors after the intervention: coordination (p = 0.013), knowledge sharing (p = 0.002), collective efficacy (p = 0.001), and team cohesion (p < 0.001), along with team performance overall (p = 0.001). Conclusions: The findings highlight that while some factors initially show stronger influence, all targeted team competencies can be improved through structured interventions of supporting more effective team-based learning in hospitality vocational education.

Factors Impacting Students’ Satisfaction with Chorus Courses: A Case Study of a Comprehensive University in Guangxi, China

2025-07-29T07:16:16+00:00

Purpose: This study examines factors influencing students’ satisfaction with choir courses at a comprehensive university in Guangxi, China. Research design, data and methodology: A mixed-methods design was employed, structured across three stages: pre-IDI, IDI, and post-IDI, based on the Intervention Design and Implementation (IDI) framework. Content validity was confirmed through expert review, and a pilot test assessed reliability. Data from 90 students were analyzed using multiple linear regression to examine six factors: teachers’ competence, teaching methods, teaching staff, teachers’ reliability, learning outcomes, and helpfulness. Qualitative interviews with teachers and students informed the 12-week IDI phase. Paired-sample t-tests were conducted to compare pre- and post-intervention outcomes. Results: Teachers’ competence, teaching staff, reliability, and helpfulness significantly influenced satisfaction. Teaching methods and learning outcomes were not significant predictors. However, post-intervention results showed marked improvement across all variables, including those initially non-significant. Conclusions: The findings highlight that well-structured, student-centered interventions can meaningfully enhance student satisfaction, even for factors previously considered less impactful. This study offers practical insights for improving music education through faculty development, collaborative instruction, and support mechanisms. It also contributes to research on intervention-based approaches in arts education.

The Effect of School Principal’s Tranformational Leadership and Teachers Occupation Perception on Teachers’ Job Satisfaction at Ayeyarwaddy International School

2025-04-15T04:16:50+00:00

Purpose: The purpose of this paper is to identify the effects of school principal’s transformational leadership and teachers’ occupation perception on teachers’ job satisfaction at Ayeyarwaddy International School, Mandalay, Myanmar. The objectives of the research is to examine the levels of principal’s transformational leadership attributes that include idealized influence, inspirational motivation, intellectual stimulation, and individual consideration; to examine how teachers perceive their occupation as a teacher; and to identify the effects of both examinations on teachers’ job satisfaction. The questionnaire was delivered to 117 teachers from three different school divisions – preschool, elementary school, and secondary school - and 88 teachers responded. Both the Multiple Linear Regression and Simple Linear Regression were applied for data analysis. The results revealed that school principal’s transformational leadership as well as teachers’ occupation perception has statistically significant effect on teachers’ job satisfaction. Of all the transformational attributes, the Inspirational Motivation was accounted for 28.2% of the variance in teachers’ job satisfaction and it was statistically significant at p <.001 with the Beta value of .566. Teachers’ Occupation Perception was accounted for 56.4% of the variance in teachers’ job satisfaction and it was statistically significant at p <.001 with the Beta value of .774. In conclusion, this study recommends that school principals are suggested to prioritize the inspirational motivation and intellectual stimulation and teachers to have right occupation perception to enhance teachers’ job satisfaction.

Integrating 3D Technology into Garment Pattern-Making: Effects on Learning Outcomes

2025-08-13T09:11:43+00:00

Purpose: This study examines the effects of integrating 3D technology into garment pattern-making education within a vocational education context. Research design, data and methodology: A quasi-experimental design was implemented with 88 first-year students in China, divided equally into a Style3D-assisted experimental group and a control group taught through traditional methods. Both groups completed identical instructional content, while learning outcomes were measured through standardized academic tests, a spatial visualization assessment, and a post-intervention engagement survey. Results: Findings indicate that the experimental group achieved significantly higher scores in applying knowledge, analyzing garment structures, and developing Apparel Spatial Visualization Skills, whereas no significant differences were observed in remembering or understanding. Qualitative reflections further revealed stronger engagement among experimental group students, including higher motivation, sustained focus, and improved conceptual clarity. These results demonstrate that 3D-assisted instruction is particularly effective for fostering higher-order cognitive skills and spatial reasoning, while traditional approaches remain important for reinforcing foundational knowledge. Conclusions: The study highlights the pedagogical value of blended instruction that combines digital simulation with manual drafting. Such integration supports both technical skill development and conceptual understanding, preparing vocational learners for the digital transformation of the fashion industry.

The Effect of Virtual Simulation Software on Nursing Students' Academic Performance and Engagement

2025-08-13T09:15:59+00:00

Purpose: This study aimed to achieve three core objectives: (a) to assess how Virtual Simulation Software (VSS) affects nursing students’ theoretical knowledge and skill performance relative to traditional methods; (b) to evaluate how perceptions of VSS usefulness and ease of use shape intention to use it; and (c) to investigate how this intention influences learning engagement. Research design, data and methodology: A quasi-experimental pre-test/post-test control group design was adopted with a follow-up survey. Two classes of 40 second-year nursing students from a Chinese vocational college were divided into an experimental group using VSS and a control group with traditional training for ten weeks. Academic performance was measured through knowledge and skills tests, and student engagement and technology acceptance were evaluated via surveys. Data were analyzed using independent t-tests and Simple linear regression. Results: The results showed statistically significant improvements (p < 0.001) in theoretical knowledge and skill performance from pre-test to post-test in both the experimental and control groups. Regression analysis indicated that both perceived usefulness and ease of use of VSS positively influenced students' intention to use it, with perceived usefulness being a stronger predictor. Conclusions: These findings suggest that integrating VSS into nursing curricula can enhance student engagement and performance, validating VSS as a valuable addition to traditional training and providing practical insights for educators to improve nursing education quality.

EDITORIAL

2025-08-30T02:53:06+00:00

The Journal of Interdisciplinary Research (JIR) is a tri-annual international publication dedicated to disseminating high-quality, peer-reviewed scholarship in the field of Social Sciences. Serving as a platform for academic dialogue, the journal fosters the exchange of ideas and the advancement of research across a wide range of disciplines.

JIR is officially indexed in the Thai Citation Index (TCI), Tier 2, and operates as an open-access journal with the primary goal of encouraging meaningful academic collaboration among researchers, scholars, and students from diverse backgrounds. Its mission is to provide a hub for interdisciplinary conversations and knowledge sharing that address emerging trends and pressing issues in the global academic landscape.

This volume presents 19 exceptional articles authored by researchers from various countries and academic institutions. Employing diverse methodologies—quantitative, and mixed-method approaches—the contributions explore themes such as educational leadership, educational technology, technology-enhanced teaching, management, and learning processes. The breadth of perspectives reflects the journal’s commitment to cross-cultural, multi-contextual, and interdisciplinary scholarship.

We extend our deepest gratitude to all contributing authors for their dedication to advancing knowledge that benefits society and enriches scholarly inquiry.

Moving forward, the Journal of Interdisciplinary Research (JIR) remains committed to supporting the academic community by publishing impactful research and fostering dialogue across disciplines. We warmly welcome submissions that align with the journal’s vision of promoting interdisciplinary scholarship and addressing complex challenges through collaborative research.

Assistant Professor Dr.Thanawan Phongsatha

Editor-in-Chief

Journal of Interdisciplinary Research (JIR)