Fair East Publishers: E-Journals
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Peer feedback in Chinese as a foreign language writing classes: Impacts on English-majored sophomores’ learning autonomy
Full text linkThis experimental study aims to explore the impacts of peer feedback on English-majored sophomores’ learning autonomy in Chinese as a Foreign Language (CFL) writing classes, as well as their attitudes toward this type of feedback in fostering autonomy. The study employed a two-group pre-questionnaire and post-questionnaire design, with peer feedback as the independent variable and learner autonomy as the dependent variable. The participants included 150 English-majored sophomores from Saigon University (SGU). Two instruments used to collect both quantitative and qualitative data were a questionnaire on learner autonomy and individual interviews exploring students’ attitudes toward the use of peer feedback in enhancing their autonomy. The results revealed that peer feedback in CFL writing classes significantly influences English-majored sophomores’ learning autonomy. Additionally, despite encountering certain challenges during the process, the participants expressed a positive attitude toward the use of peer feedback to foster their autonomy. It is hoped that these findings will increase awareness among students and teachers about the potential of peer feedback as an effective tool in CFL writing classes.
Keywords: learning Autonomy, Peer Feedback, Cfl Writing, English Majors, Higher Educatio
Development of transdisciplinary competency assessment tools in teacher training institutions
Full text linkDeveloping transdisciplinary competencies for students in teacher training institutions is essential to equip them with the knowledge and foundation for their future educational activities. However, accurately assessing students' transdisciplinary competencies in large classroom settings has never been an easy task. Providing evidence to demonstrate the transdisciplinary competencies of pre-service teachers presents several challenges, while assessments based solely on the instructor's perspective may raise concerns about objectivity and reliability. This paper proposes a framework for assessing students' transdisciplinary competencies, including evaluation criteria and methods for organizing the assessment process. The study was conducted using an experimental approach, focusing on the Natural Science Foundations course for second-year pre-service teachers (N=1000) across two academic cohorts. The research results indicate that the proposed assessment tool can effectively and accurately evaluate pre-service teachers' transdisciplinary competencies.
Keywords: Assessment; Trans Disciplinarity, Transdisciplinary Competencies; Peer Review
Purchase intention of IOS and Huawei smartphones amongst university students
Full text linkThis study examines the purchase intentions of university students regarding iOS (Apple) and Huawei smartphones, delving into the factors shaping their preferences. Using a structured survey, data was collected on students' demographic profiles, current smartphone usage, satisfaction levels, brand perceptions, and key decision-making criteria. The survey also explored the influence of social circles, brand loyalty, and the appeal of promotional offers, alongside attitudes toward technological advancements like 5G connectivity. The findings highlight distinct patterns of brand preference and their underlying drivers. Apple (iOS) smartphones were associated with a strong brand image, premium features, and perceived reliability, while Huawei gained recognition for competitive pricing and advanced technological offerings. Price sensitivity emerged as a critical factor, yet features like battery life, design aesthetics, and camera quality also heavily influenced decisions. Additionally, social influences, including recommendations from friends and family, were pivotal in shaping purchase intentions. Notably, students who favored iOS cited ecosystem integration as a key motivator, while Huawei users prioritized innovation and affordability. The study reveals that promotional offers significantly impact purchase likelihood, with a marked preference for 5G-enabled devices. Insights into brand loyalty underscore the importance of customer service and after-sales support, with a notable openness among students to switch brands if incentivized by better features or pricing. These findings provide valuable implications for smartphone manufacturers to tailor their marketing strategies and product offerings to meet the evolving preferences of university students, fostering greater engagement and brand affinity.
Keywords: Purchase Intention, Smartphone Preferences, IOS (Apple), Huawei, University Students
The future of generative artificial intelligence (AI) in fraud detection analysis
No full textAs financial fraud schemes grow increasingly sophisticated, traditional detection models struggle to keep pace with the evolving threat landscape. Generative Artificial Intelligence (AI), particularly models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs), are emerging as transformative tools in the realm of fraud detection. These models enable the creation of synthetic datasets, simulate fraudulent behaviors, and enhance the accuracy of anomaly detection systems. By generating realistic fraud scenarios, generative AI enhances predictive modeling and supports proactive risk mitigation strategies in financial institutions. However, the use of generative AI also raises critical concerns around data privacy, explainability, and potential misuse. This paper explores the current and future applications of generative AI in fraud detection, outlines the regulatory and ethical considerations, and offers forward-looking recommendations for integrating these tools into secure, transparent, and efficient fraud risk management frameworks.
Keywords: Generative AI, Fraud Detection, Synthetic Data, Anomaly Detection, Financial Crime Prevention, Large Language Models (LLMs), Generative Adversarial Networks (GANs), Natural Language Processing (NLP), Predictive Analytics, Risk Mitigatio
Boosting conversion contributes to improving quality management of strategic research and current defense history
No full textDigital transformation is becoming an inevitable trend in management and scientific research on a global scale. For the field of strategic research and defense history - a field of high specificity, sensitive and associated with security and defense. The application of digital learning to scientific management is important to improve the quality and efficiency of research, meeting new requirements in the cause of national construction and defense.
Keywords: Digital Transformation, Scientific Management, Military History Research, Defense Strategy Research, Digitization, Security and Defense
A competency-based framework for professional staff development at Hanoi Metropolitan University: A job position approach
No full textIn the contemporary context of profound reform in Vietnamese higher education, characterized by increasing autonomy and global quality demands, the professional development of non-academic staff has emerged as a critical determinant of institutional success. This paper proposes a comprehensive, systematic framework for the development of professional staff at Hanoi Metropolitan University (HNMU), adapting and operationalizing the job position-based approach theorized in Vietnamese academia. The core argument posits that traditional, generalized, and often passive staff development models are inadequate for cultivating the specialized, agile, and proactive workforce required by a modern university. Instead, a dynamic framework grounded in clearly defined job positions and associated multi-level competency models is essential. This conceptual paper presents a detailed, three-phase implementation model. Phase 1 (Analysis and Planning) involves aligning with university strategy, conducting a rigorous job analysis to create a comprehensive job map, and developing a detailed competency dictionary and specific competency models for each role. Phase 2 (Implementation) focuses on embedding these competencies into core human resource functions, including targeted recruitment and behavioural interviewing, individualized training and development based on competency gap analysis, and a forward-looking performance management system. Phase 3 (Monitoring and Adjustment) establishes key performance indicators (KPIs) and a feedback loop to ensure the framework's continuous evolution and relevance. By systematically implementing this model, Hanoi Metropolitan University can significantly enhance the capabilities of its professional staff. Expected outcomes include improved operational efficiency, superior support for academic and research activities, a stronger alignment of human resources with strategic objectives, and the fostering of a meritocratic and development-oriented culture. This paper provides not only a theoretical argument but also a practical, step-by-step roadmap for HNMU and other Vietnamese universities seeking to professionalize their administrative structures and build a sustainable competitive advantage.
Keywords: Strategic Staff Development, Job Position Approach, Competency Framework, Hanoi Metropolitan University, Vietnamese Higher Education Reform, Strategic Human Resource Management, Competency Modeling
Insights from Ghana: Strengths and challenges of parental involvement in the school environment
No full textParental involvement in the classroom is an important aspect of improving students' academic performance. This study aimed to measure the strengths and challenges of parental involvement in the school’s environment and its influence on student performance and identify effective techniques for increasing engagement. The study also investigated the influence of active parental involvement in the school environment on a child's educational experience. Parents who interacted with their children’s instructors, attended school activities, and encouraged learning at home reported improved student grades, behavior, and motivation. The study also gave valuable insights for educators and policymakers, reviewed present practices, identified impediments to parental involvement, and recommended effective solutions. Using Epstein's theoretical model of parental involvement, the study systematically examined the various aspects of parental engagement and their impact on student performance. It provided a thorough understanding of how parental involvement can be an effective tool for academic improvement. The study gave a nuanced perspective on the dynamics of parental involvement in the Ghanaian educational system by using a mixed-methods approach that included quantitative surveys with parents and qualitative interviews with headteachers. The study showed that a strong connection between parents and their child’s school fosters a positive learning environment that promotes high academic achievement. The results highlighted the significance of addressing time restrictions, economic problems, cultural considerations, and communication hurdles to promote more meaningful parental engagement in schools.
Keywords: Parental Involvement, Motivation, Multiculturalism, Academic Performance, Teacher-Parent Communication
AI-Driven human resource systems for equitable workplaces: A roadmap for the future of U.S. healthcare and nonprofits
No full textArtificial Intelligence (AI) is increasingly transforming Human Resource (HR) systems, offering new possibilities for addressing systemic challenges in healthcare and nonprofit sectors—namely, burnout, workforce attrition, and inequitable employment practices. This literature review explores how AI-driven tools such as machine learning, predictive analytics, and digital automation are being applied to core HR functions including burnout detection, pay equity analysis, performance evaluation, scheduling, and turnover prediction. With burnout rates rising and equity gaps persisting, particularly in mission-driven environments, AI presents an opportunity to deliver data-informed, scalable interventions that improve employee well-being and organizational fairness. The review highlights key benefits of AI integration, including administrative efficiency, reduced bias, improved decision-making, and early intervention capabilities. It also critically examines ethical challenges related to algorithmic bias, transparency, employee privacy, and the potential dehumanization of workplace interactions. Drawing on case studies, regulatory guidance, and emerging research, the manuscript proposes a roadmap for ethical AI implementation tailored to the values of social impact organizations. The recommendations emphasize human oversight, stakeholder inclusion, AI literacy, and privacy safeguards. The analysis concludes that AI’s role in HR should be augmentative—amplifying human empathy and institutional integrity. When guided by equitable frameworks, AI-enabled HR systems can not only mitigate existing workplace inequities but also build more resilient, inclusive, and sustainable workforces across healthcare and nonprofit sectors.
Keywords: Artificial Intelligence, Burnout Prevention, Compensation Equity, Workforce Optimization, Human Resource Technology, Nonprofit Organizations, Healthcare Workforce, Predictive Analytics, Ethical AI, HH Innovation
Rethinking market valuation: Examining human resource accounting disclosures and debt management on shareholder value in Nigerian manufacturing firms
No full textHuman Resource Accounting Disclosures (HRAD), which accounts for the cost and value of people in an organisation, has a profound impact on the shareholder value. This study was therefore, designed to research the impact of HRAD on shareholder value, as well as, examine whether financial leverage influences this relationship in Nigerian manufacturing firms. While the study was framed on Stakeholder Theory, Signalling Theory served as additional interpretive insight. With the application of panel regression techniques, which entails Random Effects and Driscoll–Kraay corrected model, a panel dataset of 29 deliberately selected manufacturing firms listed on the Nigerian Exchange over an eight-year period (2016–2023), was subjected to analysis. Shareholder value is represented by the Price-Earnings Ratio (PER), while HRAD is fragmented into five specific disclosure categories. Thus, it is discovered that the only statistically significant component, with positive effect on the PER, is the Performance and Remuneration (PAR) disclosure. Furthermore, there is a supposed conditional role of HRAD in more leveraged firms, due to the relationship between SHS and financial leverage (DER), under robust estimation. The discoveries of the research foreground the need for firms to emphasise performance-related HR disclosures. Providing vivid guidelines by regulatory bodies will motivate consistent and value-relevant human capital reportage. Employing empirical insight into the scarcely-explored relationship between HR disclosure practices and market valuation in an emerging African context, the study establishes both theoretical contributions and practical relevance for corporate transparency and investor relations, in the Nigerian manufacturing sector.
Keywords: Financial Leverage, Human Resource Accounting Disclosure (HRAD), Nigerian Manufacturing Firms, Performance and Remuneration, Shareholder Value, Signalling Theory, Stakeholder Theory
Maintenance plan improvement using failure mode effect and criticality analysis: A case study on mining equipment
No full textThe mining industry is known for its complex operations and challenging working conditions, which underline the importance of equipment reliability and operational effectiveness. This study introduces a novel maintenance planning framework that integrates Failure Mode Effect and Criticality Analysis (FMECA) with optimal replacement time identification for critical mining equipment. Recognizing the challenges of balancing maintenance costs against the risks of equipment failure, the research employs FMECA to systematically identify and rank failure modes, thereby quantifying the degradation processes of key components. Through detailed risk assessments and failure data analysis, the proposed methodology determines precise replacement intervals that minimize unexpected downtime and maintenance expenses. A comprehensive case study on mining machinery demonstrates that aligning maintenance schedules with the optimal replacement times derived from FMECA not only enhances operational reliability and safety but also results in significant cost savings. This approach provides a replicable decision-support framework that can be applied to various industrial settings, ensuring that equipment replacements are both timely and economically justified. This research ensures that by employing FMECA and data analysis on critical mining equipment, the replacements times of components are carried out timely and at an optimized cost.
Keywords: FMECA, Maintenance Plan, Preventive Maintenance Strategies, RCM, Minimizing Downtime and Reliability