Advances in Psychological Sciences and Applications

Emotional Intelligence and Employee Turnover in the Hospitality Industry

Mon, 25 May 2026 00:00:00 +0000

Employee turnover remains a persistent challenge in the hospitality industry due to high emotional demands, workload pressures, and continuous interpersonal interactions. This study investigates the influence of emotional intelligence (EI) on employee turnover among hospitality professionals in Naga City, Philippines. Specifically, it examines employees’ demographic profiles, levels of emotional intelligence, turnover motivations, and the relationships among these variables. An embedded mixed-methods research design was employed, involving 180 resigned employees from accommodation, food and beverage, and resort sectors. Quantitative data were analyzed using descriptive and inferential statistics, including weighted mean, Spearman’s rank correlation, and chi-square tests, while qualitative responses were analyzed through thematic analysis to enrich interpretation. The findings reveal that employees generally exhibit high levels of emotional intelligence, particularly in social skills and motivation. However, self-regulation emerged as the weakest dimension, indicating challenges in managing emotions under stress. Organizational factors such as workload, compensation, career growth limitations, and work-life imbalance were identified as moderately high contributors to turnover. The results further indicate that emotional intelligence significantly influences turnover motivations, although it does not independently prevent turnover in the presence of unfavorable working conditions. This study contributes to the literature by integrating emotional and organizational perspectives in explaining turnover behavior. It proposes a comprehensive retention approach through the CARE Program, emphasizing emotional intelligence development, managerial support, and employee well-being. The findings provide practical insights for hospitality organizations seeking to enhance employee retention and organizational sustainability.

Unlocking the Potential of Machine Learning and Artificial Intelligence for Early Detection and Monitoring of Spinal Muscular Atrophy Type 3

Ferry D. Satriono, Winny N. Wishwadewa — Wed, 08 Jul 2026 00:00:00 +0000

Spinal Muscular Atrophy Type 3 (SMA3), or Kugelberg-Welander disease, is a later-onset and relatively milder form of SMA, but delayed recognition can still cause progressive weakness, loss of ambulation, scoliosis, fatigue, and reduced quality of life. In low- and middle-income countries (LMICs), early diagnosis and monitoring are often limited by subtle symptoms, restricted genetic testing, specialist shortages, fragmented follow-up, and weak referral systems. This paper presents a conceptual framework for using artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT) enabled tools to improve SMA3 detection, monitoring, and care delivery in LMICs. The framework integrates multimodal data collection, including demographic, clinical, motor function, diagnostic, treatment, patient-reported, wearable, smartphone-based, and health system data. These inputs are processed through cloud-based data preparation, including standardization, cleaning, privacy protection, missing data handling, multimodal integration, and feature extraction. AI/ML models may support disease progression prediction, risk stratification, early detection of motor decline, treatment response prediction, phenotype clustering, and longitudinal monitoring. The resulting outputs include clinical decision support, personalized rehabilitation, early warning alerts, patient dashboards, national registries, efficient resource allocation, and policy evidence. Successful implementation requires low-cost digital tools, interoperability, ethical governance, multidisciplinary collaboration, local validation, and explainable AI. This approach may enable earlier intervention and improve outcomes for SMA3 patients in resource-limited settings.

Collaborative Learning Effectiveness in Thai Classrooms: A Cultural Psychology Perspective

Abdulhafiz Hile — Wed, 08 Jul 2026 00:00:00 +0000

Collaborative learning has been widely recognized as an effective pedagogical approach for enhancing student engagement, critical thinking, and academic achievement. However, its effectiveness may vary across cultural contexts. This study examines the effectiveness of collaborative learning in Thai classrooms through a cultural psychology perspective. Drawing on sociocultural theory and cultural dimensions, the study explores how collectivist values, power distance, and interpersonal norms influence students’ participation, interaction, and learning outcomes in group-based learning environments. A mixed-method approach was employed, combining survey data from 280 secondary and undergraduate students with classroom observations and interviews. The findings indicate that collaborative learning is generally effective in promoting engagement and social cohesion, but its impact on critical thinking and individual accountability is moderated by cultural factors. Students tend to prioritize harmony and group consensus, which may limit open disagreement and deep cognitive conflict. The study contributes to the literature by contextualizing collaborative learning within Southeast Asian cultural settings and offers practical implications for designing culturally responsive pedagogy.

The Role of Art and Music Interventions in Mediating Emotional Regulation and Reducing Academic Stress among University Students

Sun, 26 Jul 2026 00:00:00 +0000

Academic stress is a common issue experienced by university students and is closely associated with mental health conditions and a decline in academic performance. Emotion regulation plays a crucial role in stress management and has been proven to be an adaptive ability that enhances well-being. Interventions involving arts and music have increasingly been explored as effective approaches to improving emotion regulation skills among university students. This paper aims to systematically review existing studies related to Arts and music-based interventions in enhancing emotion regulation and reducing academic stress among university students, as well as to identify the intervention methods implemented. The method used in this paper is a systematic review of experimental studies, meta-analyses, and qualitative research focusing on arts and music interventions among university students. The analysis of results is based on measurements of academic stress, emotion regulation, and psychological well-being. The main findings indicate that Arts and music-based interventions consistently reduce academic stress levels and help improve students’ emotion regulation skills. In conclusion, Arts and music-based interventions are effective in enhancing emotion regulation and reducing academic stress among university students. Such approaches can be integrated into mental health support programs, including counseling and group guidance services, for students at the university level.

Coping Mechanisms of Survivors of Healthcare Adversities

Laika C. Valiente, Gemma Salando-Clet, Cyril B. Romero — Sat, 08 Aug 2026 00:00:00 +0000

This study explored the coping mechanisms utilized by individuals who experienced healthcare adversities and examined their effects on psychological well-being. Although healthcare systems are intended to promote healing, some individuals encounter negative experiences such as delayed diagnoses, invasive procedures, neglect, miscommunication, and stressful medical environments, which may lead to emotional distress, anxiety, fear, avoidance, and reduced trust in healthcare systems. The study employed a qualitative research design, using interviews with participants who experienced healthcare adversities within the past five years, and Reflexive Thematic Analysis (RTA) to identify themes and patterns. Findings revealed that participants utilized both adaptive coping strategies, such as emotional support, cognitive reframing, and problem-solving, and maladaptive coping strategies, including avoidance and denial. The study found that coping mechanisms significantly influenced participants’ psychological outcomes and resilience. Based on these findings, a community-based psychoeducation management plan was developed to promote adaptive coping skills, resilience, and accessible psychological support through psychoeducation, workshops, and group discussions, highlighting the importance of community-based interventions in addressing healthcare-related distress and promoting mental well-being.