Pacific International Journal (PIJ)
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Comparative Analysis of Student-Centered Teaching Mode In Selected Colleges and Universities In China
Get PDFAt present, there are significant differences in the implementation and practice of student-centered teaching models among different universities in China, resulting in different teaching outcomes. This provides certain innovative space for the development of this research activity. This study mainly adopts a combination of quantitative and qualitative research methods to compare the practical effects of the student-centered teaching model in five selected universities. It is found that all five universities have commendable aspects in implementing the student-centered teaching model, and there are also many areas that can be improved and perfected. Researchers not only raised common issues and challenges, but also proposed the best practice model and provided suggestions
Customer Brand Attachment and Engagement Among Online Retail Customers in Beijing, China
Get PDF This study examines customer brand attachment and engagement among online retail customers in Beijing, China, using a quantitative comparative correlational design with 380 respondents. Findings reveal moderate brand attachment across emotional bonding, cognitive connection, and trust, with male and younger customers (25-45 years) showing stronger connections. Engagement levels were highest in social interaction but lowest in behavioral activation, indicating customers enjoy community participation but are less inclined toward frequent purchases or advocacy. Trust emerged as a key driver of cognitive, emotional, and social engagement, though it did not significantly influence purchasing behavior. Demographic variations highlight the need for tailored strategies: younger "Explorer" customers exhibited higher behavioral engagement, while Loyalists demonstrated deeper. The study recommends personalized experiences to strengthen emotional attachment, transparent communication to build trust, and incentive-based loyalty programs to boost active purchasing. By leveraging social interaction strengths and addressing demographic-specific engagement gaps, brands can enhance customer relationships in competitive e-commerce markets. These insights provide actionable recommendations for optimizing engagement strategies and fostering sustainable brand loyalty
Technology-Enhanced Learning Resilience: A Study on the "Bubei" App's Impact on Non-English Majors
Get PDFAbstract: Against the backdrop of rapid advancements in information technology, mobile learning tools have emerged as crucial auxiliary means for language learning among college students. Intelligent vocabulary-memorization platforms, represented by the "Bubei" (Memorizing Words Without Rote Memorization) APP, have been widely adopted by non-English majors in their English vocabulary learning. However, students still commonly face issues such as poor persistence, low resilience to setbacks, and insufficient self-efficacy during the learning process, which severely undermine learning outcomes. This study, taking the Learning Resilience Theory as its core perspective, delves deeply into the main challenges exposed in the practical use of the "Bubei" APP. It proposes systematic solutions from the aspects of motivating learning motivation, optimizing platform mechanisms, and innovating teaching integration, with the aim of constructing a more robust learning ecosystem for non-English major
Effectiveness Observation of Oral Motor Training Games in the Rehabilitation of Children with Articulation Disorders
Get PDFOral motor training games provide a novel reference for rehabilitation in children with articulation disorders. This study investigates the application effects of this method. Sixty children undergoing rehabilitation for articulation disorders were randomly divided into an observation group and a control group. The control group received conventional rehabilitation interventions, while the observation group incorporated oral motor training games into the baseline protocol. Comparisons were made between the two groups regarding improvements in oral motor function and speech abilities. Results demonstrated that the observation group exhibited significantly higher scores in both oral motor function and speech function compared to the control group (P < 0.05)23. Compared to conventional methods, oral motor training games show distinct advantages in enhancing articulation abilities, oral motor coordination, and speech outcomes for children with articulation disorders56. These findings suggest that oral motor training games can serve as a scientifically validated and effective rehabilitation intervention, offering valuable insights for clinical practice in articulation disorder management.
 
Survey on the Current Employment Intentions of Preschool Education Majors--A Case Study of H College in Hohhot
Get PDFEmployment is the cornerstone of people's livelihoods. In his report at the 20th National Congress of the Communist Party of China, General Secretary Xi Jinping explicitly proposed the implementation of an employment-first strategy to promote high-quality and adequate employment. In recent years, the total number of university graduates entering the job market has continued to rise, with college students facing a severe employment situation. This year (2025), the number of university graduates is expected to reach 12.22 million, setting a new record high. However, the irrational industrial structure and supply-demand imbalance in the job market have further exacerbated the severity of the employment situation. Therefore, conducting research on the employment situation of higher education institutions and the implementation of employment policies is an urgent task. Private higher education institutions have unique characteristics in terms of their educational nature and student population. Studying the employment intentions of students from private higher education institutions, as well as the implementation and effectiveness of employment policies, holds significant practical significance and aligns with current policy needs.
This research project takes H Private Higher Education Institution in Hohhot City as its research object, primarily employing research methods such as questionnaire surveys, interviews, and literature reviews. By distributing questionnaires to understand the employment intentions of early childhood education majors, targeted employment guidance is provided based on students' employment intentions, and students are helped to establish correct and reasonable employment perspectives, thereby improving the employment rate of university graduates. The research findings indicate that universities in Hohhot actively implement and enforce employment policies, striving to promote university student employment. However, in actual employment work, efforts primarily focus on promoting student employment through macro-level employment policies, lacking targeted employment guidance and a deep understanding of students' employment needs. Survey results revealed that 51.02% of students were uncertain about whether they would pursue careers related to their majors, while only 26.53% were certain they would pursue such careers. This indicates that current college students are confused about their career directions. Universities should, while implementing employment policies, gain a deeper understanding of college students' employment needs to address their employment issues effectively and assist them in achieving high-quality employment
Exploring the Integration of Artificial Intelligence in Clinical Laboratory Diagnostics Education: Opportunities and Challenges
Get PDFThe rapid development of Artificial Intelligence (AI) is reshaping various sectors, particularly healthcare and education. This article explores the integration of AI in Clinical Laboratory Diagnostics Education and its potential to transform teaching and learning paradigms. AI enables personalized instruction, immersive virtual laboratories, and intelligent teaching management systems, thereby enhancing educational effectiveness and efficiency. Additionally, AI supports clinical decision-making through advanced diagnostic algorithms and multi-dimensional data analysis. Nonetheless, its implementation faces considerable challenges, including high infrastructure costs, data privacy concerns, and ethical implications. This review summarizes the current landscape, identifies critical barriers, and discusses future directions. A balanced and responsible adoption strategy is essential to maximize AI's benefits while addressing associated risks, ultimately cultivating a new generation of healthcare professionals proficient in both clinical diagnostics and AI technologies
Haunting Authorship: The Colonial Entanglement of Space and Body in Cheers, Soldier！
Get PDFThrough examining Huang Chunming’s transtextual project Cheers, Soldier!（Zhanshi Ganbei 戰士，乾杯！）, this paper explores how settler authorship becomes structurally unsettled. Across its short story and stage script forms, the narrative centers on the multigenerational conscription of Indigenous men into successive colonial armies. Rather than presenting this history as resolved or representable, the texts reveal a deeper tension: the author’s own position becomes entangled in the return of what cannot be narrated from the outside.
While the short story filters Indigenous experience through a reflective first-person voice, the stage script disperses that perspective, incorporating fragmented speech, embodied presence, and performative memory. As narrative control gives way to shared perception, authorship itself shifts from an interpretive authority to a residual structure shaped by absence, vulnerability, and repetition.
Through close textual analysis, the paper argues that this transtextual movement is not a linear adaptation, but a redistribution of narrative responsibility. Cheers, Soldier! does not aim to repair historical violence through fiction. Instead, it lingers in the uncertainty of what it means to write from a settler position. The result is not narrative empathy, but narrative haunting: an authorial presence that remains within the frame, no longer centered, but no longer able to withdraw
Assessment and Prediction of Activities of Daily Living Using Machine Learning Methods and Their Actuarial Applications in Insurance
Get PDFWith the accelerating aging of the global population, the precise pricing of Long-Term Care Insurance (LTCI) urgently requires accurate assessment of an individual's Activities of Daily Living (ADL). Traditional actuarial methods relying on linear models struggle to capture complex nonlinear relationships. To address this issue, this study systematically compares the performance of three typical machine learning models—Logistic Regression, XGBoost, and Random Forest—in multiclass prediction of ADL, exploring their feasibility for insurance premium rate calibration.The research is based on four waves of cross-sectional data (2015–2020) from the China Health and Retirement Longitudinal Study (CHARLS). After rigorous data cleaning (final valid sample: 58,790 entries) and an 8:1:1 split into training/validation/test sets, 12 independent variables—including age, mental health score, household size, etc.—were selected to construct the models.
Research methods included model construction, hyperparameter tuning, feature importance analysis (based on absolute coefficient values, weighted gain, and mean decrease in impurity), and feature quantity optimization. The results indicate:(1) The XGBoost model demonstrated the best generalization capability (test set accuracy: 0.7997), significantly outperforming the severely overfitted Random Forest (test set accuracy: 0.7606) and the weakest-performing Logistic Regression (test set accuracy < 0.6);(2) Feature importance analysis consistently identified age as the most critical predictor, with mental health score and self-rated health (particularly significant in XGBoost) also having substantial influence;(3) After feature optimization, XGBoost achieved optimal performance and strong robustness with seven core features (including age, mental health, and self-rated health), while Logistic Regression and Random Forest required fewer and more features, respectively, with inferior results.Accordingly, this study recommends prioritizing the XGBoost model for ADL risk assessment and premium rate calibration in LTCI actuarial practice. Its excellent predictive accuracy, generalization ability, and effective identification of key risk factors (age, mental health, self-rated health) can provide reliable data-driven support for developing fairer and more accurate insurance products
Application of Domestication and Foreignization Strategies in Subtitle Translation -- A Case Study of The Legend of Miyue
Get PDFThis study analyzes the application of domestication and foreignization strategies in the English subtitle translation of the Chinese historical drama The Legend of Miyue. The research aims to evaluate how these strategies impact cultural transmission and subtitle quality, and to propose a more systematic framework for strategy selection. Through textual analysis of the subtitles, the study examines how specific cultural elements are translated. The findings reveal a dynamic interplay between domestication, which enhances comprehensibility for the target audience, and foreignization, which preserves the cultural authenticity of the source text. A key contribution of this study is the proposal of a strategy-selection model based on the cultural load and informational function of the content. This model provides a practical tool for translators to make informed decisions, balancing readability with cultural fidelity. The study concludes that a flexible, context-sensitive application of both strategies is essential for effective cross-cultural communication through audiovisual translation, offering significant implications for both translation practice and the global dissemination of culturally rich media
Integrating Emerging Sports into Primary Physical Education: A Four-Dimensional Curriculum Framework for Holistic Student Development in China
Get PDFIn response to the ongoing educational reform and the global movement toward diversified physical education, this study explores effective strategies for integrating emerging sports into primary school physical education (PE) curricula in China. Using literature analysis, teaching experiments, and comparative research, the study examines the application of rope skipping, roller skating, and orienteering as innovative modules in PE instruction. A four-dimensional integration framework—comprising progressive skill reconstruction, spiral physical fitness enhancement, interactive and interest-oriented pedagogy, and multi-dimensional evaluation—was developed and tested in teaching practice. Results indicate that curriculum integration of emerging sports significantly improves students’ motor skills, physical fitness, and learning motivation while promoting teamwork and self-efficacy. The study concludes that effective integration should adhere to the principles of scientific design, enjoyment, and practicality, using gamification, situational learning, and competition-based instruction. This framework offers a new pathway for promoting holistic physical literacy and health-oriented development among primary school students