Pacific International Journal

Research on Achievement Motivation and Learning Burnout of Preschool Education Majors

2026-03-18T05:51:04+00:00

In order to explore the current situation of achievement motivation and learning burnout of contemporary college students and the relationship between them, this study used literature research method and questionnaire survey method to investigate 401 college students. The results show that the proportion of women in the survey sample is as high as 94.01 %, and sophomore and senior students are the main body ; the overall achievement motivation of college students shows the characteristics of ' weak willingness to pursue success and significant tendency to avoid failure '.At the same time, the problem of learning burnout is prominent, and there are manifestations of insufficient learning enthusiasm, physical and mental exhaustion, and negative learning behavior. The study found that there is a significant correlation between the low level of achievement motivation of college students and the phenomenon of learning burnout, and the problems in learning methods, learning planning, professional identity and other aspects further aggravate this situation. Based on this, this study proposes targeted optimization strategies from the dimensions of improving achievement motivation, alleviating learning burnout, and optimizing learning environment, in order to provide reference for improving college students ' learning status and improving the quality of higher education teaching.

The Historical Evolution and Present Condition of Camel Milk Practices in Northern China

2026-04-02T06:54:31+00:00

This article examines the long-term trajectory of camel milk consumption in northern China and the ways in which that tradition has been preserved and transformed in the present. Methodologically, the study combines textual analysis of premodern historical records with a review of modern ethnographic, food-science, and cultural studies. The evidence suggests a crucial distinction between the history of camel husbandry and the history of camel milk use. Although large-scale camel raising can be traced to at least the Han period, explicit documentary evidence for camel milk consumption appears clearly only from the Yuan dynasty onward. By the Yuan, Ming, and Qing periods, camel milk circulated not only in pastoral settings but also in courtly, medicinal, and commercial contexts. The contemporary case shows that milking, fermentation, dairy processing, and social uses remain embedded in pastoral life, while camel milk has also been reframed through heritage discourse, nutritional science, and regional industrial development. The article argues that camel milk should be understood not merely as a food product, but as a historical foodway shaped by pastoral ecology, social exchange, ritual meaning, and changing economic institutions.

Research on the Digital intelligence Literacy Training Model for Cultural and Tourism Talents from the Perspective of Industry-Education Integration

2026-03-31T03:30:27+00:00

With the rapid development of digital and intelligent technology, the cultural tourism industry is facing an important stage of upgrading. As the core driving factor for its upgrading, digital and intelligent talents are becoming the direction for universities and enterprises to jointly promote development. Therefore, based on the "live" case industry-education integration model of the College of Hotel Management at Zhejiang Yuexiu University in China, this study explores the effectiveness of cultivating students' digital intelligence literacy through questionnaire surveys and statistical analysis. The research finds that most students can cultivate basic digital intelligence ethical literacy and digital intelligence thinking under this model, but their mastery of digital intelligence knowledge and competency is relatively weak, especially in data governance ability, which is the worst among them. Therefore, in the future establishment of the "live" case industry-education integration model, attention should be paid to the design of digital and intelligent technology training and data governance ability cultivation.

The Impact of the Government’s Risk Moderator Role on the Incentive Structure of Financial Institutions within the Agricultural Innovation Ecosystem

2026-03-17T03:28:54+00:00

This paper examines how the government’s role as a risk moderator is associated with changes in the incentive environment faced by financial institutions within China’s agricultural innovation ecosystem. The study integrates ecosystem theory, principal-agent theory, and evolutionary game theory, but it does so through a clearer multi-level logic than in the earlier version of the manuscript: ecosystem theory explains why financial frictions in agriculture have system-wide consequences, principal-agent theory explains how specific public instruments reshape participation and monitoring incentives, and evolutionary game theory explains how policy support can generate tipping-point dynamics in institutional participation over time. Empirically, the paper uses a qualitative comparative case-study design built from official policy documents, regulatory reports, annual reports, exchange disclosures, and published academic studies. Quantitative indicators spanning 2015–2024 are used as descriptive secondary evidence and as support for mechanism tracing; they are not presented as a single original causal dataset estimated by the author. The analysis focuses on three representative Chinese policy instruments: the National Agricultural Credit Guarantee System (NACGS), the Insurance-Plus-Futures (IPF) program, and the government-enabled Digital Agricultural Finance (DAF) ecosystem. The findings suggest three distinct but related pathways through which public risk moderation reshapes incentives: risk absorption, risk transformation, and risk reduction. Across the cases, government intervention appears to crowd in private participation by improving risk-adjusted returns or lowering information and transaction costs, but it also creates boundary conditions involving moral hazard, basis risk, market liquidity, and digital exclusion. The paper contributes to the literature by extending principal-agent theory to a multi-tier, multi-instrument agricultural finance context and by using evolutionary game logic to explain how policy diffusion can become self-reinforcing after a threshold of participation is reached. The paper concludes with policy recommendations that are directly tied to the empirical findings on guarantee ratios, basis risk, data governance, and performance design.

Research on the Impact of Generative AI on the Quality of Management Accounting Decisions: Evidence from Manufacturing Firms

2026-03-27T02:21:31+00:00

Generative artificial intelligence (GenAI) is moving from experimentation to organizational infrastructure in accounting and finance. Yet firm-level evidence on how it shapes management accounting decision quality in manufacturing remains limited, especially in contexts where financial, operational, engineering, and service information are tightly intertwined. This paper revises the question in a more analytically cautious way: rather than claiming direct observation of internal decision processes, it examines what can reasonably be inferred from public corporate disclosures about the ways GenAI-related capabilities may influence management accounting decision quality. The study adopts an interpretive multiple-case design and analyzes three major Chinese manufacturing firms - Midea Group, Haier Smart Home, and Dongfang Electric - using official annual and semi-annual reports, corporate disclosures, and recent AI-and-accounting literature. The findings suggest that GenAI does not improve management accounting decision quality primarily by replacing managerial judgment. Instead, its potential effects appear to operate through three linked mechanisms: information enrichment, analytical augmentation, and organizational embedding. First, GenAI-related capabilities broaden the informational basis of management accounting by making operational, service, quality, and ecosystem data more usable in planning and control. Second, they enhance analysis by translating complex data into more interpretable, scenario-sensitive, and action-oriented outputs. Third, these benefits are likely to materialize only when AI capabilities are embedded in standardized routines, integrated data infrastructures, and cross-functional governance arrangements. At the same time, the documentary evidence also indicates important boundary conditions, including data maturity, process integration, governance discipline, and the degree of functional trust between finance and operating units. The paper contributes by sharpening the concept of management accounting decision quality, distinguishing GenAI from broader digital transformation, and offering a cautious process model grounded in documentary case evidence from leading Chinese manufacturers. Because the evidence is drawn primarily from external disclosures rather than direct internal observation, the claims should be read as interpretive analytical inferences rather than as definitive causal proof.

Digitalization Empowers the Talent Training of Industry-Education Integration Community in Hunan Province

2026-03-03T08:01:08+00:00

This study focuses on industry-education integration communities in Hunan Province, conducting an in-depth analysis of their current development status. It identifies prominent challenges such as insufficient resource integration and low collaborative efficiency, while digital technologies provide effective solutions. The research proposes a "platform + ecosystem" digital transformation pathway, encompassing multiple dimensions including digital platform construction, teaching model innovation, evaluation feedback mechanisms, and governance system optimization. Supporting measures are outlined across policy frameworks, technological applications, organizational structures, and resource allocation. The study aims to clarify how digitalization empowers talent cultivation model innovation within Hunan's industry-education integration communities, offering theoretical insights and practical references for enhancing vocational education quality and adaptability through concrete digital empowerment pathways.

Integrating Technology and Physical Education: Current Practices and Emerging Trends

2026-03-28T04:45:56+00:00

This article examines how digital technologies are reshaping physical education (PE) and asks a question that is increasingly central to the field: under what pedagogical and institutional conditions does technology strengthen PE’s educational purposes, and under what conditions does it risk narrowing them? To address that question, the article adopts a structured narrative review of scholarship on virtual and augmented reality, motion-tracking systems, wearable sensors, video feedback, online learning platforms, mobile applications, gamification, smart devices, and computer-vision-based analytics. The review is organized around four analytical concerns: the main technological domains currently entering PE, the kinds of educational value most often associated with them, the constraints and risks that limit their contribution in practice, and the tensions shaping future development. The evidence suggests that technology can enrich PE by supporting tactical visualization, movement feedback, formative assessment, engagement, and continuity of learning beyond the gymnasium. However, the literature also shows that these benefits are conditional rather than automatic. Educational gains are strongest when tools are embedded in clear pedagogical purposes, teacher-guided feedback, inclusive design, and workable school routines. By contrast, the evidence becomes less convincing when technology is treated as a novelty, when claims about effectiveness rest mainly on short-term motivational outcomes, or when PE is reduced to data capture, screen interaction, or performance metrics alone. The review therefore argues that technology should amplify good teaching rather than substitute for the embodied, social, and educational core of PE. Implications are drawn for curriculum planning, teacher development, governance, and future research.

Mental Training Interventions and Pre-Match Preparation Effectiveness Among Badminton Athletes in a Sports Institute in Wuhan, China

2026-02-07T10:11:03+00:00

This study investigates the effectiveness of mental training interventions on pre-match preparation among badminton athletes at a sports institute in Wuhan, China. Utilizing a descriptive-comparative-correlational research design, the study assessed 153 athletes across eight mental training dimensions: goal setting, focus and concentration, strength and anxiety management, confidence and motivation, emotional regulation, communication and team dynamics, recovery and mental fatigue, and implementation and consistency. Results revealed an overall composite mean of 3.08, indicating that athletes perceive mental training interventions as "Effective" and "True of Our Training." The highest-rated dimension was confidence and motivation (mean=3.48), while strength and anxiety management received the lowest rating (mean=2.64). Statistical analysis showed no significant differences in assessments based on age, but significant variation was found in physical readiness perceptions between freshmen and sophomores. The findings demonstrate that while the program successfully builds psychological foundations, it requires enhanced focus on practical anxiety management strategies. This research provides valuable insights for optimizing mental training protocols in competitive badminton.

Artificial Intelligence Empowering the Modernization of Super-Urban Governance in Chengdu: Mechanism Logic and Effectiveness Evaluation

2026-04-08T13:28:54+00:00

Megacity governance faces the dual challenges of institutional compatibility and technological empowerment as a result of the in-depth application of artificial intelligence (AI) in the public sector. A critical and cutting-edge topic in urban governance research is how to integrate AI into the megacity governance system to boost governance efficacy. Existing studies mostly focus on macro-institutional analysis or quantitative efficiency evaluation, and lack in-depth qualitative examination of the specific mechanisms and practical effects of AI-enabled governance in China's megacities. Using Chengdu, a megacity in western China with a permanent population of more than 21.47 million, as the research object, this study takes technological empowerment theory, collaborative governance theory, and refined governance theory as its analytical framework, and adopts case study and literature review methods. Four representative cases are selected: the Smart Chengdu Command Center, AI application in grassroots micro-grid and practical grid, AI application scenario for Park City ecological governance, and AI-enabled government services. The study systematically examines the mechanisms by which AI facilitates the modernization of governance in Chengdu's megacity, assessing its efficacy across four dimensions: enhancement of public services, optimization of governance efficiency, improvement of social collaboration, and advancement of risk prevention and control.The study finds that Chengdu's practice has created a framework that focuses on empowerment and has made progress in many areas. But it still needs to do a lot more to get rid of data barriers, make algorithms clearer, and show people how to use technology.

Effective Professional Development Characteristics Provided by School Administrators and Teachers' Decision-Making Competency in a Selected Vocational School in Qingdao, China

2026-03-20T13:20:42+00:00

This study examined the relationship between the perceived quality of school-based professional development (PD) and teachers' decision-making competency in a secondary vocational school in Qingdao, China. Guided by scholarship on effective PD and teacher judgment, the study focused on four PD dimensions - enhancement of content and pedagogic knowledge, provision of sufficient time and resources, promotion of collaboration, and contribution to affective gains - and three decision-making domains - planning, interaction, and evaluation. A descriptive-correlational survey design was used with 80 teachers selected from a faculty population of 98 at Qingdao No. 45 Middle School. Teachers rated both PD quality and their own decision-making competency positively. Collaboration emerged as the strongest perceived PD feature (M = 2.77, SD = 0.49), while evaluation decision-making received the highest competency rating (M = 2.81, SD = 0.47). No statistically significant differences were found by sex, length of service, or educational attainment. Most importantly, overall PD quality was moderately and positively associated with overall teacher decision-making competency (r = 0.461, p < 0.001). At the dimension level, sufficient time and resources were most closely related to planning decisions (r = 0.238, p = 0.034), whereas collaboration was particularly relevant to interaction decisions (r = 0.370, p = 0.001) and evaluation decisions (r = 0.524, p < 0.001). The findings indicate that vocational-school PD should move beyond occasional training events and instead prioritize protected planning time, structured collegial inquiry, peer feedback, and classroom-linked improvement routines. The paper concludes that professional development functions most effectively as an institutional decision-support system when it is embedded in the daily work of teachers.

An Exploratory Research on the Strategies of Integrating Chinese Traditional Culture into Middle School English Teaching

2026-02-04T15:35:39+00:00

With the emphasis on cultural awareness in the Compulsory Education English Curriculum Standards (2022 Edition), the integration of traditional Chinese culture into junior high school English teaching has become an urgent topic for discussion. This study aims to explore the current status, challenges, and improvement strategies for incorporating traditional Chinese culture into junior high school English instruction. Taking a middle school in Hailar Hulunbuir as a case study, data on cultural integration in English teaching were collected through questionnaires, teacher interviews, and classroom observations. The study identified three major issues: weak cultural awareness among teachers, an overemphasis on grammar at the expense of cultural expansion, and a lack of diversity in integration methods. Based on these findings, the study proposes a strategic framework to enhance teachers' cultural literacy, deeply explore cultural elements in teaching materials, and employ diversified teaching approaches. The study provides a reference for the implementation of cultural education in junior middle school English teaching.

Multiple Modes of College English Writing Feedback Enabled by Digital Intelligence Technology

2026-04-01T13:56:53+00:00

With the rapid development of digital intelligence technology, the mode of college English writing feedback is undergoing profound transformation. Against the background of educational digital transformation, this paper systematically explores the multiple modes of college English writing feedback empowered by digital intelligence technology. The study finds that the multi-interactive feedback mode centered on AI preliminary assessment – peer assessment – teacher final assessment can effectively integrate technological advantages and humanistic care, forming a collaborative and orderly closed loop of teaching evaluation. The organic integration of the three can significantly improve students’ writing ability and learning motivation. This paper proposes that the transformation of a digital-intelligence-adaptive writing teaching paradigm should be promoted, the feedback mechanism should be optimized through human–computer collaboration, and a diversified feedback ecosystem integrating technological empowerment and humanistic care should be constructed.

Cultivating International Communication Competence in Translation Students in the Age of AIGC: A Pedagogical Framework

2026-03-17T03:39:00+00:00

The rapid evolution of Artificial Intelligence Generated Content (AIGC) is reshaping translator education, presenting both opportunities for enhanced learning outcomes and risks of uncritical dependency. In response, this study proposes a pedagogical framework that integrates AIGC to cultivate the International Communication Competence (ICC) of translation students. Grounded in the theory of Knowledge Translation Studies, the framework conceptualizes ICC as a triad of discursive competence, cross-cultural strategic competence, and multimodal translation competence. It further delineates the differentiated roles of AIGC—as a research assistant, strategy generator, and debating counterpart—across the cognitive domains of declarative, procedural, and meta-cognitive knowledge. An instructional model combining flipped classroom and project-based learning (PBL) was implemented to train students in structured human-AI collaboration. A semester-long implementation of the model is described to illustrate its practical application and preliminary pedagogical implications.

Incentive Issues and Optimization Strategies for Medical Staff at Jiamusi Dongji Orthopedic Hospital

2026-03-29T13:04:50+00:00

Abstract: As a vital supplement to China's medical service system, private orthopedic hospitals play a crucial role in ensuring medical service quality and hospital competitiveness. The scientific nature of their incentive mechanisms directly influences medical staff's work enthusiasm, career stability, and service efficiency. This paper focuses on Jiamusi Dongji Orthopedic Hospital, employing a combination of literature review, questionnaire surveys, and in-depth interviews, guided by Two-Factor Theory, Expectancy Theory, Organizational Support Theory, and Total Compensation Theory, to systematically investigate the current state of medical staff motivation at the hospital. The study identifies four core issues: insufficient competitiveness in salary and benefits, lack of internal fairness, limited career development and academic growth opportunities, and burnout due to excessive workload, coupled with a weak sense of organizational support and insufficient non-material incentives. Based on these findings, optimization strategies are proposed across five dimensions: optimizing the salary and welfare system, expanding career paths, improving work design, strengthening humanistic care, and enriching intangible incentives, aiming to enhance medical staff satisfaction and sense of belonging, thereby supporting the hospital's sustainable development.

A Scientometrics of Generative AI in Education (2023–2026)

2026-03-06T05:46:09+00:00

Generative AI, as an important branch of artificial intelligence, has achieved a technological leap in original content generation. Its breakthrough is marked by the largescale application of multimodal large models in 2023. However, the application of this technology in education has only lasted for four years.Based on the scientometric tool VOSviewer, this study constructs a knowledge map of English literature in this field published in the Web of Science Core Collection (SSCI and A&HCI) since 2023.The results show that the field is dominated by educational research, with a rapid and sustained growth in publications. Although empirical research has become the mainstream, insufficient interdisciplinary integration is observed.Benefiting from abundant research funds and projects provided by China, China ranks first globally in publication volume, academic influence and network centrality, demonstrating strong research capacity and collaboration potential.Research hotspots have gradually shifted from ethical risks of technology application to practical integration, and finally entered a mature stage focusing on selfefficacy, effectiveness evaluation and mechanism optimization.Overall, this field has become a global academic focus with diversified research methods. It has broad development prospects and profound research value in the future.

Effects of Generative AI Dependency on Undergraduate Students’ Creativity

2026-03-26T10:31:34+00:00

Based on the Behavioral Dependency Framework, this study explores the influence mechanism of generative artificial intelligence dependency on undergraduate students’ creativity. In this study, the generative artificial intelligence dependency was divided into three dimensions: cognitive preoccupation, negative consequences and withdrawal. 223 valid questionnaires were obtained through online surveys, and data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that cognitive preoccupation has a positive impact on creativity, but the negative consequences and withdrawal have no effect on creativity. This study not only refines the relationship mechanism between the generative artificial intelligence dependency and creativity, but also provides empirical reference for universities to guide students to use generative artificial intelligence rationally.

Artificial Intelligence (AI)-Predicted Joint Stress Indices and Overuse Injuries in Martial Arts Training Among Martial Arts Athletes

2026-02-07T10:09:44+00:00

Artificial intelligence offers a paradigm shift from reactive to proactive injury prevention in sports, yet its practical acceptance and accuracy in high-impact disciplines like martial arts require empirical validation. This study investigated martial arts athletes' perceptions of AI-predicted joint stress indices and their correlation with overuse injuries, guided by the Human-AI Teaming framework. Employing a descriptive-comparative-correlational design, 355 martial arts athletes from a university setting completed a validated questionnaire assessing AI-predicted indices across five dimensions: stability, symmetry, alignment, variability, and reproducibility. Descriptive and inferential statistics analyzed the data.Results indicated a uniform, moderate perception of the AI system's accuracy, with an overall mean rating of 1.91 (SD=0.79) on a 4-point Likert scale, interpreted as "Slightly Accurate." Reproducibility of feedback was the highest-rated dimension (Mean=1.94), while stability, symmetry, and alignment were rated lowest (Mean=1.90). Statistical analyses revealed no significant differences in these perceptions based on athlete sex, age, martial arts discipline, or years of experience. The findings suggest that while AI is recognized as a potentially valuable tool for longitudinal monitoring, its current application is perceived as lacking the nuanced accuracy required for detailed biomechanical feedback and immediate technical correction. The study concludes that AI-predicted joint stress indices hold promise as a supplementary tool for injury prevention but require significant algorithmic refinement to improve biomechanical fidelity and athlete trust before achieving full integration into personalized training frameworks.

A Study on Consumption Behavior and Its Influencing Factors in the Appearance Economy Among College Students

2026-04-08T13:29:42+00:00

In the context of the "appearance economy", this study analyzes the consumption behaviors of college students influenced by appearance in the economic consumption sphere, as well as their influencing factors. The results show that love, marriage and career choice in appearance benefits exert a significant impact on the consumption behaviors of college students. Meanwhile, internal factors such as self-confidence and psychological status play a dominant role in consumption decision-making. This paper provides scientific consumption guidance for college students and reveals the multiple effects of the appearance economy on their consumption behaviors.

Sensible Risk-Taking and Innovative Performance in Small Businesses in Hunan, China

2026-03-20T13:16:30+00:00

In this study, we examine how sensible risk-taking relates to innovative performance in small businesses in Hunan, China. We treat sensible risk-taking as a multidimensional construct that includes foundational decision frameworks, entrepreneurial orientation, executive behavior and corporate governance, psychological traits and financial literacy, digital transformation and technological adaptation, and strategic and cultural context. We conceptualize innovative performance through five organizational dimensions: social capital and knowledge sharing, dynamic capabilities and organizational learning, human resources and intellectual capital, environmental and organizational culture, and access to strategic and financial resources. Using a quantitative descriptive-correlational design, we analyze survey responses from 250 employees drawn from small businesses across retail, services, food processing, and light manufacturing. Descriptive statistics, one-way analysis of variance, and Pearson correlation are used to evaluate levels, group differences, and relationships among the study variables. We find that both sensible risk-taking and innovative performance are generally practiced, but mostly at a moderate rather than intensive level. Executive behavior and corporate governance, together with psychological traits and financial literacy, emerge as the strongest risk-related dimensions, while dynamic capabilities and organizational learning constitute the strongest innovation-related dimension. Age, educational attainment, and organizational position do not produce statistically significant differences in either major construct. Years in service matters only for selected sensible risk-taking dimensions. In the correlational analysis, psychological traits and financial literacy show the strongest positive association with innovative performance, whereas entrepreneurial orientation demonstrates several negative associations, suggesting a mismatch between individual initiative and organizational conditions. Overall, we argue that innovation in small businesses is supported less by demographic characteristics than by disciplined governance, financial confidence, and learning-oriented systems.

Aerobic-Anaerobic Fitness Levels and the Consistency of Roundhouse Kick Performance During Multi-Round Taekwondo Matches Among Taekwondo Athletes

2026-02-07T10:12:12+00:00

This study examined the relationship between self-assessed aerobic-anaerobic fitness levels and roundhouse kick performance consistency during multi-round taekwondo matches among athletes at Jiaozuo University, China. A descriptive-comparative-correlational design was employed, with data collected via a validated self-assessment questionnaire administered to 100 taekwondo athletes. Results indicated moderate overall fitness levels (composite mean = 2.18, SD = 0.78), with power output under fatigue perceived as the strongest component (mean = 2.24, SD = 0.82) and speed recovery between exchanges as the weakest (mean = 2.14, SD = 0.79). No statistically significant differences were found across demographic factors (age, sex, years of experience), though trends suggested higher self-perceptions among mid-adolescent athletes and those with 3–5 years of training experience. The findings highlight the need for integrated conditioning programs that target recovery capacity, endurance sustainability, and sport-specific neuromuscular adaptation to maintain kick consistency under fatigue.

Xu Yuanchong’s Translation Aesthetics in Practice: A Systematic Study of the Three Beauties and Three Transformations

2026-04-02T06:50:10+00:00

This study examines Xu Yuanchong's translation aesthetics and practice through a qualitative analysis of his theoretical writings, representative translations, and major scholarly discussions. Rather than treating theory and practice as separate domains, the study relates Xu's aesthetic commitments to his concrete handling of imagery, rhythm, parallelism, and condensed poetic syntax in selected renditions of classical Chinese poetry. It argues that Xu's translation project is driven by two intertwined aims: the international circulation of Chinese literary culture and the re-creation of poetic beauty in the target language. The analysis further shows that the Three Beauties principle-beauty in sense, sound, and form-functions less as a rigid checklist than as a dynamic decision-making framework, while the Three Transformations-deepening, equalizing, and simplifying-operate as practical procedures for dealing with semantic density, cultural imagery, and formal asymmetry between Chinese and English. Close reading of representative examples indicates that Xu consistently privileges aesthetic reception and poetic readability, even when this requires interpretive intervention or partial domestication. His practice therefore expands the translator's creative agency while also inviting criticism concerning cultural attenuation and over-interpretation. By integrating motivation, corpus, method, and reception, this article repositions Xu not simply as a prolific translator, but as a major architect of cross-lingual poetic mediation in modern Chinese translation studies.