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INDONESIA
Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 803 Documents
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Integrating Social Intelligence Into Character-Based Education: A Contextual Learning Model in Modern Boarding Schools Sabaruddin; Rusli Yusuf; Misri A. Muchsin; Masrizal
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-015

Abstract

Objectives: This study designs and evaluates a social intelligence-based learning model for social studies in modern Islamic boarding schools (pesantren) in Indonesia, addressing the lack of social-emotional integration in faith-based curricula. Methods/Analysis: A mixed-methods approach involved 150 participants from five pesantren, including students, teachers, and school leaders. Qualitative data were gathered via interviews, observations, documentation, and FGDs, while quantitative data were collected using a validated 25-item Social Skills Questionnaire. Descriptive statistics, paired-sample t-tests, and Cohen’s d assessed effectiveness, with methodological and theoretical triangulation ensuring qualitative validity. Findings: The model—integrating social values, interactive strategies, contextual materials, authentic assessment, and teacher facilitation produced significant gains in social intelligence. Problem-solving and tolerance improved most (+1.7 points each), and student participation rose from 42% to 88%. Both students and teachers reported high satisfaction with the collaborative, contextually relevant approach. The questionnaire demonstrated high reliability (Cronbach’s α = 0.87). Novelty/Improvement: This study introduces a culturally grounded, faith-based pedagogical framework embedding social intelligence into character-based education. By aligning Islamic values and Acehnese wisdom with 21st-century social competencies it provides a replicable model for enhancing social-emotional learning in similar educational contexts.
Modeling and Performance Optimization for Complex Workflow in IoT Lu, Ting; Li, Huiling; Zeng, Qingtian; Duan, Hua; Liu, Cong
Emerging Science Journal Vol. 9 No. 5 (2025): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-05-02

Abstract

This study addresses the growing challenge of time scheduling in Internet of Things (IoT) workflows, where efficiency in time utilization and resource profitability is increasingly constrained by uncertainty. Real-world workflows are characterized by non-deterministic activity execution and resource preparation times, yet existing research often neglects these fundamental dynamics when modeling IoT-based processes. To bridge this gap, we propose a comprehensive modeling and performance optimization framework that explicitly incorporates uncertainty. Methodologically, the framework introduces two distinct types of places to represent activities and resources, with resource properties capturing reusability and preparation processes abstracted as specialized activities. For workflow activities, timing functions are defined to model minimum and maximum execution times, enabling the computation of earliest and latest start times and the identification of critical activities driving overall workflow duration. To mitigate resource conflicts during execution, three alternative resolution strategies are developed and systematically evaluated. Results demonstrate that the proposed approach effectively identifies optimal scheduling strategies under uncertainty, enhancing both temporal efficiency and resource utilization. A workflow case study illustrates the applicability of the framework, offering methodological and practical insights for designing resilient IoT workflow scheduling systems in complex, real-world environments.
E-Service Quality and Loyalty Driving E-Satisfaction and E-WOM in Higher Education Nguyen, Vi T. T.; Truong, Tue G.; Nguyen, Thanh D.
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-019

Abstract

This study examines the influence of core e-service quality dimensions, information quality, website performance, and website confidentiality, on perceived emotional value, e-satisfaction, student loyalty, and electronic word-of-mouth (e-WOM) within the digital delivery of higher education services in Vietnam. Drawing upon the Stimulus–Organism–Response (SOR) framework, the Expectation–Confirmation Theory (ECT), and the Value-Based Adoption Model (VAM), this research investigates behavioral outcomes through psychological mediators. Data were collected from 311 university students with prior experience in using their universities’ electronic service platforms, including learning and academic management systems. Measurement scales were adapted from established studies, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS–SEM). The results reveal that e-service quality positively influences perceived emotional value, which subsequently drives e-satisfaction, student loyalty, and e-WOM. Furthermore, student loyalty reinforces e-WOM, underscoring the critical role of digital engagement in higher education. This study contributes to existing theory by integrating service quality dimensions, emotional responses, and behavioral intentions into a unified model. It also offers practical insights for enhancing student engagement, optimizing digital learning environments, and strengthening institutional reputation in today’s increasingly competitive digital education landscape.

Page 81 of 81 | Total Record : 803

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