Humanities literacy is increasingly recognized as a critical component of vocational education, enhancing students’ career readiness and adaptability. This paper explores the role of stakeholder engagement in designing effective humanities literacy evaluation systems for vocational education. Drawing on qualitative and quantitative data from stakeholders, including educators, students, employers, and policymakers, the study identifies key perspectives, challenges, and recommendations for creating robust evaluation frameworks. Findings highlight the necessity of collaborative approaches to ensure relevance, inclusivity, and practicality in assessment methods, ultimately contributing to improved educational outcomes and career trajectories for vocational students.

Keywords: Stakeholder Engagement, Humanities Literacy, Evaluation Systems, Vocational Education.

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This study examines the validity and reliability of the Customer Luxury Behaviour (CLB) Questionnaire within the context of the Chinese luxury market. With a sample size of 300 respondents, this research evaluates consumer behaviours and preferences concerning luxury vehicles. Employing a mixed-method approach, including Structural Equation Modeling (SEM) and thematic analysis, the study validates the CLB as a reliable tool for exploring luxury consumption in China. Findings reveal that cultural norms, brand perceptions, and individual consumer preferences interplay dynamically in shaping luxury behaviour.

Keywords: Luxury Consumer Behavior, Validity, Reliability, Mixed-Method Research, Structural Equation Modeling, Chinese Luxury Market.

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Background: Workload is a critical factor affecting healthcare professionals and has significant implications for their job performance, job satisfaction, and overall well-being. In the healthcare sector, workload often refers to the volume of tasks, the number of patients, administrative duties, and the complexity of clinical responsibilities that professionals are required to manage.

Methods: The study made use of the descriptive-correlational research design which was conducted in Asia Pacific Medical Center in Kalibo, Aklan. This involves the selection and utilization of standardized tools and instruments to measure workload and burnout.

Result: High mental demand suggests that professionals face complex cognitive tasks, decision-making pressures, and intellectual challenges in their roles. High physical demand indicates that the job requires substantial physical exertion, potentially involving long hours, manual labor, or physically demanding tasks.

Conclusion: The findings regarding burnout reveal moderate levels among respondents, particularly in emotional exhaustion and depersonalization, which are indicative of the strain and detachment healthcare professionals may experience in their roles.

Keywords: Workload, Burnout, Healthcare Professionals, Nurses.

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Background: The study of entrepreneurship has been given significant importance in the academic community by several nations. According to Ghina, Simatupang, and Gustomo (2017), a significant proportion of the labor force in the ASEAN region is actively considering entrepreneurship as a prospective career path.

Methods: The study made use of the descriptive-correlational research design. This study was conducted in Henan Province China.

Result: All the data showed a significant relationship between the business ethics levels and how the recently graduated entrepreneurs perform workforce management.

Conclusion: The provided information suggests that there is a relationship between business ethics levels and the performance of recently graduated entrepreneurs in workforce management.

Keywords: Business Ethics, Entrepreneurs, Workforce, Management.

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Addressing the complexities of student performance prediction, this research develops a novel Hybrid Learning Model (HLM), utilizing machine learning methods to offer a comprehensive educational analysis. Leveraging machine learning techniques to predict and enhance student performance in educational settings. The study is rooted in the recognition that education plays a pivotal role in shaping future generations and acknowledges the complexity involved in predicting student outcomes due to the multifaceted nature of learning processes and various influencing factors. Traditional models have predominantly focused on singular aspects of student performance, necessitating a more comprehensive approach. This research introduces a sophisticated system that integrates multiple performance indicators, including class participation, task performance, quizzes, and exams. Central to this model is the use of Linear Regression, a machine learning technique celebrated for its simplicity and efficiency, to establish relationships between dependent and independent variables, thereby predicting student outcomes effectively. The system is specifically tailored for educational contexts and does not consider non-academic factors like psychological conditions or family circumstances. Despite these limitations, the HLM promises significant advancements in predicting and enhancing student performance, with the potential to transform educational technology. This dissertation contributes a novel, multifaceted tool for educational improvement, subject to validation and refinement through real-world application and data analysis.

Keywords: Hybrid Educational Technology, Student Performance Prediction, Educational Data Analysis, Machine Learning in Education.

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As believers who intend to become witnesses to the second coming of our Lord Jesus Christ, known as eschaton, the occurrence of the Rapture, our Catholic Faith leads us to manifest faith, love, and charity, the Order of St. Augustine’s Charism.  Our respective personal journey is to traverse life with caution, courage, and commitment to be “perfect as our Father in Heaven is perfect.” (Matthew 5:48).  Perfection may only be attained through constant practice of the virtues, values, and verses prescribed in the Holy Scripture (Muñez, 2018), as we are constantly under the divine, trinitarian watch.  This paper applies the modified personal balanced scorecard developed by Muñez (2018), inspired by Kaplan and Norton’s Balanced Scorecard (Kaplan and Norton, 1992:71-79) among the Accountancy students of La Consolacion University of the Philippines.  This paper introduced a monitoring system that Consolanians may adopt to facilitate the assessment and evaluation of our respective Christian lives.  The personal balanced scorecard is anchored on the personal mission, vision, and strategies for salvation and spiritual bliss done individually by the Accountancy students under the following perspectives of Christian living:  Temporal, Rituals and Worship, Learning and Growth, and Brethren. There are no guarantees for eternal salvation and spiritual bliss.  Let this personal balanced scorecard be a warranted teaching innovation to life-long learning, grounded in Catholic Social Teachings, for the prospective, productive, and quality professional lives of our Consolanian Accountancy learners.

Keywords:  Personal Balanced Scorecard, Spiritual Bliss, Eschaton.

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The study focused on the analysis of existing data available at the Office of the University Registrar in one of the Private Higher Education Institutions (PHEI) in the province of Bulacan. PHEI’s across the country are dependent on the revenues from collected tuition fees on students. The study was limited to the completed and submitted dropping and honorable dismissal forms from SY 2020-2021 up to SY 2022- 2023 from Kinder to Senior High School. Secondary data were collected, and data mining and coding were utilized in the conduct of the study. This method helped the researchers in understanding patterns and in extracting useful information.  The researchers obtained approval and clearance from the Research Ethics and Committee (REC) of the university.

Results of the study revealed for the last three (3) School Years, the enrolment summary and attrition rates are continuously fluctuating. Decline in enrolment was associated with the onset of pandemic in 2020. Parents were economically affected due to unemployment. However, relocation and distance from the university emerged as the topmost reasons of students for dropping out, followed by financial issues. Educational system, personal/social issues and health issues comes after. Academic concerns of students were the least common reason for dropping out.

It is advised that “Parent Involvement” be incorporated into each student’s personalized study plan in order to keep them from dropping out. It’s also advised that the bond between parents, teachers, and students be strengthened. One of the most important things that academic institutions can do to support students in conveying their conduct, attitude, attendance, conveying their conduct, attitude, attendance, and class performance is to provide them with guidance from mentors or class advisers. To effectively address students’ problems and keep them from leaving PHEIs, it may also be analyzed to improve the intervention programs offered by the Student Welfare Services.

Keywords: PHEI, Retention Policy, Student Welfare Services, Education, Parent Involvement.

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Rabbit farming is an emerging agricultural practice in Bulacan with significant potential as a form of farm tourism. This study explores the viability of rabbit farming not only as a source of sustainable income for local farmers but also as a unique attraction for tourists interested in eco-friendly and educational farm experiences. Rabbit farming offers a range of economic benefits, including low-cost maintenance, rapid reproduction rates, and valuable by-products such as meat, fur, and organic fertilizer. By incorporating farm tourism, Bulacan can capitalize on rabbit farming’s appeal, attracting visitors through hands-on activities, guided tours, and educational workshops. This approach could foster agricultural awareness, promote local products, and stimulate economic growth in rural areas. The findings suggest that rabbit farming could be a sustainable and profitable avenue for both agricultural production and tourism, enhancing Bulacan’s rural economy and contributing to environmental awareness.

Keywords: Rabbit Farming, Farm Tourism, Sustainable Agriculture, Agro-Tourism, Bulacan, Rural Economy, Agricultural Awareness, Eco-Tourism.

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This study examines the mental health challenges faced by teachers in post-pandemic China, emphasizing the psychological climate and technology-driven work environments. It explores key factors such as stress levels, burnout, and coping mechanisms, assessing the impact of rapid digital tool integration on teachers’ well-being. Using hypothetical data analysis, the research identifies trends and correlations supported by visual aids like tables and graphs. Findings reveal that while technology offers efficiency, it also contributes to significant stress and burnout. The study highlights the need for targeted interventions to improve the psychological climate and support teachers’ mental health.

Keywords: Mental Health, Teachers, Post-Pandemic, Psychological Climate, Technology-Driven Work Environment, Stress, Burnout, Digital Tools.

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The integration of industry with vocational education presents both challenges and opportunities. As the workforce landscape continues to evolve with the rapid advancement of technology and shifting industry demands, vocational education must adapt to provide relevant skills. This paper explores the sector-specific challenges faced in merging industry with vocational education, and highlights opportunities for enhancing workforce readiness. Based on data analysis and a review of existing literature, the study offers insights into how this merger can be optimized for different sectors.

This study investigates the challenges and opportunities of merging industry with vocational education, focusing on sector-specific analysis across IT, healthcare, and manufacturing. Involving 300 participants, including educators, students, and industry professionals, the study employs both quantitative and qualitative methods. The quantitative data was derived from industry surveys, while qualitative interviews were conducted with stakeholders to gain deeper insights into the barriers and opportunities present in each sector. The findings reveal that while healthcare has the highest alignment between vocational programs and industry needs, manufacturing faces the most significant challenges, such as outdated equipment and weak industry partnerships. The study concludes by offering recommendations for strengthening vocational education through targeted strategies in collaboration with industry stakeholders.

Keywords: Vocational Education, Industry Integration, Workforce Readiness, Skills Development, Sector-Specific Challenges.

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