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31,456 Article Results

Determinants of integrated teaching capacity among teachers in ethnic minority primary schools in northern Vietnam

10.11591/ijere.v14i6.30087
Hang Nguyen Thi Thu , Chuyen T. H. Nguyen
This study explores factors affecting the integrated teaching capacity of primary school teachers in ethnic minority schools in the Northern mountainous regions of Vietnam. Given the challenges of linguistic and cultural diversity in this context, the research aims to address gaps in current practices and propose measures for improvement. A quantitative approach was adopted, surveying 280 teachers and administrators using exploratory factor analysis (EFA) and multivariate regression. The results identify four primary factors influencing teaching capacity: i) language, culture, and parent coordination; ii) teacher capacity and community participation; iii) teaching materials, equipment, and teacher attitudes; and iv) policies and support from management agencies. Among these, language, culture, and parent coordination are the most impactful. The study underscores the need for targeted teacher training programs and improved collaboration with local communities to enhance teaching outcomes. These findings provide actionable insights for policymakers and educators to improve integrated teaching in ethnically diverse and economically challenged regions.
Volume: 14
Issue: 6
Page: 4295-4306
Publish at: 2025-12-01

Mobile robot replacement in multi-robot fault-tolerant formation

10.11591/ijra.v14i3.pp311-319
Ahmed M. Elsayed , Mohamed Elshalakani , Sherif Ali Hammad , Shady Ahmed Maged
Formation control in multi-robot systems (MRS) is essential for collaborative transport, environmental surveillance, material handling, and distributed monitoring. A major challenge in MRS is maintaining predefined formations or cooperative task execution when individual robots experience operational faults, potentially isolating them from the group. In mission-critical scenarios, preserving the number of operational robots is crucial for task success. To address this, we propose a Robot Replacement approach framework for differential wheeled mobile robots. This approach isolates faulty robots and dynamically replaces them with pre-deployed spares, ensuring uninterrupted formation tasks. A graph theory-based framework models inter-robot communication and formation topology, enabling decentralized coordination. The proposed techniques were implemented in a MATLAB/Simulink simulation environment. The simulated robots are equipped with LiDAR, an inertial measurement unit (IMU), and wheel encoders for navigation. Simulation results demonstrate that the framework successfully maintains the target formation and task continuity during robot failures by dynamically integrating replacements with minimal disruption.
Volume: 14
Issue: 3
Page: 311-319
Publish at: 2025-12-01

Enhanced voltage stability in power distribution networks through optimal reconfiguration using hybrid metaheuristic algorithms

10.11591/ijpeds.v16.i4.pp2582-2591
Mohammed Zuhair Azeez , Abbas Swayeh Atiyah , Yaqdhan Mahmood Hussein , Hatem Oday Hanoosh
An optimal network reconfiguration (ONR) is used in distribution power systems to improve voltage decreases within the permitted period and minimize real power losses. Consequently, attaining optimal reconfiguration in distribution systems is regarded as the primary objective of numerous researchers. Conventional heuristic techniques such as genetic algorithms (GA), ant colony optimization (ACO), and particle swarm optimization (PSO) can reduce active power losses and enhance network stability. These algorithms indicate a greater number of difficulties, including inadequate convergence characteristics, a reduction in power loss, and an increase in bus voltage. This research proposes effective optimization strategies utilizing the salp swarm algorithm (SSA) and whale optimization algorithm (WOA) to augment bus voltage, reduce distribution losses, and improve network dependability. The proposed algorithms are executed and evaluated on the IEEE 33-bus and 69-bus networks to determine the ideal network architecture. The efficacy of the examined methodologies is illustrated through MATLAB under steady-state conditions, showcasing benefits in the reduction of active power loss relative to current algorithms. The comparison indicates that the SSA algorithm exhibits superior performance in terms of power losses and bus voltage enhancement relative to the WOA method. due to its enhanced exploration and exploitation capabilities, which help avoid local optima and ensure a more effective search for optimal solutions. SSA's adaptive mechanism and cooperative behavior improve convergence speed and solution accuracy, making it more efficient for optimization in network reconfiguration.
Volume: 16
Issue: 4
Page: 2582-2591
Publish at: 2025-12-01

Factors affecting career orientation: indigenous ethnic minority students in Vietnam’s Central Highlands

10.11591/ijere.v14i6.34954
Phung Viet Hai , Tran Thi Huong Xuan , Phung Thi To Loan , Nguyen Thi Thanh Phuong
Career orientation competency (COC) plays a crucial role in preparing students for lifelong learning and labor market adaptability. However, existing research has largely overlooked how this competency develops among indigenous ethnic minority students in culturally diverse and educationally disadvantaged contexts such as Vietnam’s Central Highlands. Addressing this gap, the present study adopts the social cognitive career theory (SCCT) to examine how personal, contextual, and behavioral factors interact to shape COC in this population. SCCT serves not only as a conceptual lens but also informs the development of the research model and interpretation of findings. A quantitative approach was employed using cross-sectional survey data collected from 669 ethnic minority students. Analytical techniques included reliability analysis (Cronbach’s alpha), exploratory factor analysis (EFA) for construct validation, and multiple linear regression to test predictive relationships. Results revealed six key determinants of COC: self-awareness (SA), expectations for results (ER), personal goals (PG), community connection (CC), career exploration (CE), and cultural identity (CI). Notably, CI had the most significant effect (β=0.308), suggesting its central role in guiding career-related behaviors. These findings have important implications for both theory and practice. They extend SCCT by integrating culturally specific constructs relevant to marginalized communities and they highlight the need for context-responsive career guidance programs that recognize and leverage students’ cultural identities. The study contributes to the empirical foundation for inclusive education policy reforms targeting ethnic minority youth in Vietnam.
Volume: 14
Issue: 6
Page: 4711-4723
Publish at: 2025-12-01

A hybrid transformer-graph neural networks framework for enhanced physical activity recognition and sedentary behavior analysis

10.11591/ijra.v14i4.pp429-438
Sudarsanam Anandanarayanan , Suvarnalingam Thirumaran
Sedentary behavior has been identified as a major risk factor for chronic diseases such as cardiovascular disorders, obesity, and diabetes. The accurate prediction of sedentary health risks is essential for early intervention and personalized healthcare strategies. This study proposes a novel machine learning-based predictive model that leverages transformer-based architectures and graph neural networks to analyze multidimensional behavioral data. Unlike traditional models, our approach incorporates temporal attention mechanisms to capture long-term dependencies in activity patterns and graph-based learning to model complex relationships between physiological and behavioral factors. The study utilizes real-world datasets, including wearable sensor data and self-reported activity logs, to train and validate the models. Experimental results demonstrate that the proposed framework outperforms conventional machine learning techniques such as random forest and XGBoost, achieving superior predictive accuracy and robustness. The findings highlight the potential of advanced machine learning algorithms in assessing sedentary health risks, enabling proactive health management and intervention strategies.
Volume: 14
Issue: 4
Page: 429-438
Publish at: 2025-12-01

Forecasting business exceptions in robotic process automation with machine learning

10.11591/ijra.v14i3.pp450-458
Igor Saez , Sara Segura , Mónica Gago
Business exceptions interrupt robotic process automation (RPA) workflows and oblige costly human intervention. This paper explores the application of machine learning (ML) time series forecasting techniques to predict business exceptions in RPA. Using RPA robot logs from a financial service company, we employ ARIMA, SARIMAX, and Prophet statistical models, comparing their performance with ML models such as XGBoost and LightGBM. Furthermore, we explore hybrid approaches that combine the strengths of statistical models with ML techniques, specifically integrating Prophet with XGBoost and LightGBM. Our findings reveal that a hybrid LightGBM model substantially outperforms traditional methods, achieving a 40% reduction in the weighted absolute percentage error (WAPE) when compared to the top-performing statistical model. These results suggest the potential of ML forecasting in optimizing RPA operations through the analysis of log-generated data.
Volume: 14
Issue: 3
Page: 450-458
Publish at: 2025-12-01

Impact of hybrid education in higher education: a systematic review

10.11591/ijere.v14i6.29524
Victor Hugo Herencia-Escalante , William Jesús Cardenas-Zedano , Jimena Angelica Etchart-Puza , Sergio Arturo Rojas Chacaltana
In recent times, educational initiatives such as hybrid education have positioned themselves as important approaches to ensure the continuity of education during a period as complicated as the COVID-19 pandemic. In this context, the objective of this article is to explore the rise and development of hybrid education worldwide in recent years as a viable alternative within higher education institutions, through a systematic review of the literature applying the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method. From this review, it is observed that hybrid education has experienced significant progress during the COVID-19 pandemic, given the transition to virtuality that was experienced and the rise of new digital technologies that prove useful for this approach. At the same time, the interest shown by both students and teachers in adopting this new approach instead of a purely face-to-face or virtual one has become evident, although there are still several challenges to overcome before it can be properly implemented.
Volume: 14
Issue: 6
Page: 4353-4363
Publish at: 2025-12-01

A fuzzy logic approach to sustainable energy management in standalone microgrids

10.11591/ijape.v14.i4.pp999-1010
Suganthi Neelagiri , Srinivas Babu , Siddalingappagouda Biradar
The fast development of worldwide energy consumption, driven by industrial growth and increasing dependence on fossil fuels, has led to higher carbon emissions and degradation of the environment. In response, renewable energy sources, such as solar, wind, and hydroelectric power, offer cleaner and sustainable replacements with insignificant carbon emissions. This paper examines the role of artificial intelligence (AI)-based techniques, particularly fuzzy logic, in developing energy management system. A fuzzy logic-based energy management system is proposed for a renewable-powered microgrid that incorporates a hybrid energy storage system. Fuzzy logic-based energy management, due to its capability to manage uncertainty and complexity, offers viable solutions for improving the generation and distribution of energy within microgrid systems. This system is compared to a dynamic cascaded dual-loop proportional-integral (PI) controller-based energy management system in standalone mode. The comparative analysis emphasizes the ability of fuzzy logic-based energy management to improve the efficiency and sustainability of microgrids. The research aims to advance the creation of more intelligent and dependable energy solutions that integrate renewable resources and enhance energy management practices.
Volume: 14
Issue: 4
Page: 999-1010
Publish at: 2025-12-01

Culture-based teaching practices of teachers in a Philippine-Chinese school: narratives and insights

10.11591/ijere.v14i6.33611
Remedios C. Bacus , Rivika C. Alda , Helen B. Boholano
Philippine-Chinese schools have been in existence for several decades. This study explores the influence of Chinese culture on Filipino teachers’ pedagogical and content delivery, language and social interaction, and their practices and constructions while teaching in a Chinese school. Through a descriptive–qualitative approach to explore the experiences, 12 non-Chinese teachers were purposively chosen to participate in the study. Guided by the validated interview guide and the qualitative data analysis steps by Braun and Clarke, six themes emerged: bilingual pedagogy, cultural values integration, language immersion, technology in education, thriving through diversity, support and collegiality. The study revealed the enriching interaction between Chinese cultural influences and Filipino teaching practices, suggesting the need for ongoing professional development that enhances cultural competence, innovative pedagogical strategies, and supportive teaching communities.
Volume: 14
Issue: 6
Page: 5080-5093
Publish at: 2025-12-01

Explore activities management to support the care and education of public preschools

10.11591/ijere.v14i6.33235
Thuan Van Pham , LongAn Dang Nguyen
This study aims to explore the contents of the management of support activities for care and education, as well as the impacts of these activities on improving the quality of support and care for children in public preschools in Thu Duc city, Vietnam. To achieve this purpose, qualitative and quantitative research methods were used through the evaluation of relevant documents. At the same time, a survey of 175 people, including managers, teachers, and parents of students, was conducted. The research results show that although the management of support activities for care and education for children in public preschools has achieved some good results, it still reveals many limitations that need to be identified and addressed with appropriate solutions. Based on the assessment of the current situation and identification of the causes, this study has proposed suitable solutions to improve the quality of support activities for care and education for children in public schools in Thu Duc city.
Volume: 14
Issue: 6
Page: 4555-4566
Publish at: 2025-12-01

New qualitative perspective in students’ English presentation skills in China-developing a student-based module

10.11591/ijere.v14i6.33708
Lifang Sun , Hanita Hanim Ismail , Azlina Abdul Aziz
Since English is the world’s lingua franca, English learners need to master communication skills to succeed in their respective fields. However, Chinese college students face the problem of separation between learning and using what they learned in the traditional English classrooms. This study aims to explore the university students’ needs of English presentation learning. The research questions are: i) What are the students’ language needs to improve an English presentation? ii) What are the skills needed when doing an English presentation? and iii) What are the students’ preferences in English presentation class? The researchers conducted focus-group interviews (FGI) which were participated by 30 students and semi-structured interview for five teachers to understand the students’ real needs and preferences in the process of learning English speaking. Three themes were generated by axial coding from the interview data: i) English language needs; ii) presentation skills’ needs; and iii) students’ preferences.The findings can help the teacher design the English-speaking class more effective and have adjustments according to students’ real productions using production-oriented approach in English presentation teaching.
Volume: 14
Issue: 6
Page: 5174-5186
Publish at: 2025-12-01

Enhancing character strengths and resilience in primary education: an online Quranic stories-based program

10.11591/ijere.v14i6.34091
Samir Ahmed Zekary , Gomaa Zakaria Saleh , Ashraf Ragab Ibrahim , Elsayed Atef El-Hashimi , Mustafa Mohamed Yussuf , Mohamed Ali Nemt-allah
This study investigated the effectiveness of an online Quranic stories-based program in enhancing character strengths and resilience among primary school students. Using a randomized controlled design, 64 students (aged 11-13 years) from Housh Eissa School in Egypt were assigned to experimental (n=33) and control (n=31) groups. The intervention involved ten online sessions on five major Quranic civilizations, measuring character strengths and resilience using the validated 23-item character strengths test and ego-resiliency scale. Data were collected at three time points: pre-intervention, post-intervention, and two-month follow-up. The results demonstrated significant improvements in the experimental group across all 23-character strength dimensions (p<.01, partial η² ranging from .116 to .529) and resilience (F=34.245, partial η²=.529). Notable enhancements were observed in judgment (F=11.775, partial η²=.279), self-control (F=10.269, partial η²=.252), and beauty appreciation (F=10.824, partial η²=.262). These improvements were maintained during the follow-up period, with the experimental group consistently outperforming the control group. The study suggests that online Quranic stories-based interventions can effectively enhance character strengths and resilience in primary school students, demonstrating a promising approach for character education.
Volume: 14
Issue: 6
Page: 4992-5002
Publish at: 2025-12-01

Professional competencies and graduates employability in Oman

10.11591/ijere.v14i6.31524
Ghanim Faiz Al Harrasi , Masoud Suliman Al Salmani , Maram Ghanim Al Harrasi
The unemployment crisis among graduates is a global issue that receives considerable attention from countries. However, in the Omani context, employers and policymakers argue that it stems from a lack of professional competencies rather than a shortage of jobs. Therefore, this paper focuses on studying the impact of graduates’ professional competencies on employability from the perspective of graduates of the University of Technology and Applied Sciences (UTAS) in Oman. The study examines graduates’ perceptions of professional competencies that directly affect employability within the context of the Omani labor market. It explores the relationship between Omani graduates’ professional competence and the skills gap between graduates and the requirements of the labor market in Oman. The study employed a quantitative approach, with data collected via a questionnaire distributed to 100 graduates from the UTAS in Oman. The study applied exploratory factor analysis using SPSS to test the factors influencing graduates’ employability. The main findings concluded that graduates believe they are professionally competent but cannot identify a consensus on the competence barrier preventing them from being employed. Based on these findings, the study recommends a unified guideline of competencies required by Oman’s labor market.
Volume: 14
Issue: 6
Page: 5117-5128
Publish at: 2025-12-01

Professional training of future primary school teachers in the context of Kazakh ethnopsychology and ethnopedagogy

10.11591/ijere.v14i6.32273
Serikkhan Zhuzeyev , Manat Zhailauova
Within the realm of primary education, the educational content and structure for the present youth generation are aligned with state regulations and rooted in the national values and traditions of the people. National education content should be integrated into primary school programs, with a focus on nurturing it through the ethnopsychological features and ethnopedagogical traditions of the nation. With that in mind, this study aims to enhance the ethnopedagogical and ethnopsychological professional qualifications of primary school teachers with focus on their ability to incorporate Kazakh national spiritual values and traditions in educational process. Research methodology includes theoretical instruments, consisting of analytical, and synthetic techniques, as well as pedagogical experiment, conducted via elective course “developmental and pedagogical psychology” among two groups of third-year university students from the department of primary education. To evaluate the effectiveness of the teacher training techniques, proposed in this study, we conducted and compared results of preliminary and final assessment of students’ professional competence. The research outcomes show the beneficial nature of training techniques and include an analysis of the content of the training carried out. These research findings can be applied in the further development of the fields of pedagogy and primary school methodology.
Volume: 14
Issue: 6
Page: 4700-4710
Publish at: 2025-12-01

Design and psychometric validation of the research competency scale for university students in Peru

10.11591/ijere.v14i6.35752
Carmen Julia de los Milagros Luperdi-Román , Félix Fernando Goñi-Cruz , Angel Deroncele-Acosta
Research competence is essential for the academic and professional development of university students. However, in the context of Lima, Peru, no specific, valid, and reliable instruments have been found to assess this competency comprehensively. This deficiency reveals a significant knowledge gap in the accurate assessment of research competencies in university students. Therefore, in the present research, a scale was constructed and validated to effectively assess research competence in university students. As methodology, the quantitative approach was used, following three processes: item construction, item functionality, and psychometric analysis. A sample of 216 students was used for the exploratory factor analysis (EFA), and 206 for the confirmatory factor analysis (CFA). The final version of the research competency scale for university students comprises 37 items distributed across five dimensions identified through EFA: epistemic knowledge (10 items), interpretation skills (5 items), methodological knowledge (9 items), scientific communication (6 items), and information management (7 items). CFA supported the adequacy of the model (root mean square error of approximation/RMSEA=0.064; comparative fit index/CFI=0.918; Tucker-Lewis Index/TLI=0.911), and the scale demonstrated high internal consistency. The validated scale reliably measures research competence and can improve teaching, assessment, and curriculum design.
Volume: 14
Issue: 6
Page: 4887-4902
Publish at: 2025-12-01
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