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30,938 Article Results

Dynamic behavior of induction machines in ATP-EMTP with space harmonics

10.11591/ijeecs.v41.i1.pp3-17
Jose Manuel Aller , Ruben Nicolas Guevara , Bryam Steven Pulla
This work develops a space-vector model of a squirrel-cage induction machine that incorporates the effects of spatial harmonics arising from the winding distribution. The modeling approach includes the first, fifth, and seventh spatial harmonics, which are the components with the greatest influence on the machine’s magnetic field. Simulation results highlight the impact of these harmonics on the stator and rotor currents, the electromagnetic torque, and the machine’s speed. To build the model, the voltage behind reactances (VBR) technique is employed, enabling a hybrid strategy that combines circuit-based modeling tools—such as ATP-EMTP—with computational programming in models to complement the solution of the differential equations governing the behavior of the electromechanical system. This methodology effectively transforms the induction machine into a dynamic Thevenin-equivalent circuit for each phase of the converter. ` This study provides a useful framework for evaluating how space harmonics affect the performance and operating characteristics of induction machines. The models were implemented using the ATP-EMTP software and its graphical interface, ATPDraw.
Volume: 41
Issue: 1
Page: 3-17
Publish at: 2026-01-01

Neural-network based representation framework for adversary identification in internet of things

10.11591/ijece.v15i6.pp%p
Thanuja Narasimhamurthy , Gunavathi Hosahalli Swamy
Machine learning is one of the potential solutions towards optimizing the security strength towards identifying complex forms of threats in internet of things (IoT). However, a review of existing machine learning-based approaches showcases their sub-optimal performance when exposed to dynamic forms of unseen threats without any a priori information during the training stage. Hence, this manuscript presents a novel machine-learning framework towards potential threat detection capable of identifying the underlying patterns of rapidly evolving threats. The proposed system uses a neural network-based learning model emphasizing representation learning where an explicit masked indexing mechanism is presented for high-level security against unknown and dynamic adversaries. The benchmarked outcome of the study shows to accomplish 11% maximized threat detection accuracy and 33% minimized algorithm processing time.
Volume: 15
Issue: 6
Page: 6043-6052
Publish at: 2025-12-18

Challenges in radar-based non-supercell tornado detection using machine learning approaches

10.12928/telkomnika.v24i1.27451
Kiki; IPB University Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) Kiki , Yonny; IPB University Koesmaryono , Rahmat; IPB University Hidayat , Donaldi; Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) Sukma Permana , Perdinan; IPB University Perdinan , Abdullah; Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) Ali
Tornado detection in Indonesia remains challenging as most areas are monitored by single-polarization weather radar, while dual-polarization systems offer superior detection capabilities. This study presents a novel approach by applying random forest (RF) and XGBoost machine learning algorithms to detect tornadoes using single-polarization radar data, addressing a critical gap in tropical tornado monitoring where dual-pol infrastructure is limited. Four tornado cases in Surabaya during 2024 were analyzed. Radar features including reflectivity, radial velocity, vorticity, and angular momentum were extracted through a multi-elevation sliding window technique. Spatial labels were assigned based on reports from the Indonesian National Meteorological Services (BMKG) with a 7.5 km radius from the event center. The dataset was balanced using synthetic minority over sampling technique (SMOTE). Evaluation was performed using the leave one-case-out (LOCO) scheme. Within-case evaluation showed strong performance with area under the curve (AUC) >0.94 for both models. XGBoost achieved higher probability of detection (POD 0.67-0.72) but with elevated false alarm rates (FAR up to 70%). RF demonstrated more balanced performance (POD 0.61-0.65, FAR 0.34-0.35). LOCO evaluation revealed significant POD reduction and FAR increase when tested on new cases. This indicates generalization challenges due to variability in tornado characteristics. This study demonstrates the potential of machine learning for tropical tornado early detection using readily available single-polarization radar.
Volume: 24
Issue: 1
Page: 162-174
Publish at: 2025-12-08

The impact of work concerns on teaching effectiveness: evidence from Chinese private universities

10.11591/ijere.v14i6.35367
Liang Mingyu , Mohd Khairuddin Abdullah , Connie Shin
Understanding how young teachers cope with work concerns is crucial for improving teaching quality in Chinese private higher education. This study investigates the relationship between different stages of such concerns and teacher effectiveness of young lecturers in private universities. These lecturers often face workload pressure andlack of career supports, which may influence their effectiveness and professional development. This research involved 416 full-time lecturers under the age of 40 from Shandong Province. The sample was determined using Krejcie and Morgan’s formula and selected through a multi-stage sampling method. Private universities were stratified into four categories, one university from each category was purposively selected, and participants were randomly sampled. Data were gatheredthrough a structured questionnaire adapted from the stages of concern (SoC) and the school teacher effectiveness questionnaire (STEQ). Pearson correlation, multiple regression, and structural equation modeling (SEM) were conducted for analysis. The results show that task concerns and impact concerns significantly influenced teacher effectiveness across instructional planning and strategies, assessment, and learning environment. In contrast, self-concerns showed weaker influence. These findings suggest that work concerns reflect not only stress but also deeper professional motivation, pointing to the need for more purposeful supports to increase teacher effectiveness and career growth.
Volume: 14
Issue: 6
Page: 4604-4613
Publish at: 2025-12-01

Assessment strategies in digital learning environments: insights from teacher education institutions

10.11591/ijere.v14i6.35270
Martin Jr., L. Nobis , Benjielen C. De Guzman , Alegria P. Cui , Jennifer G. Evardone , Elena M. Pulga , Catherine L. Caparroso , Lourdes Hyacinth A. Sabalza , Amabelle C. Nobis
This study explores the adaptation of assessment strategies in teacher education programs within digital learning environments (DLEs). The perspectives and experiences of faculty members from teacher education institutions (TEIs) were analyzed using an embedded mixed-methods approach. The findings reveal significant advancements in enhancing instructor digital literacy and student engagement with DLEs. However, challenges such as the authenticity of assessments and increased student workload were identified. Faculty members recommended frequent feedback and authentic evaluations to address these issues. The study also highlights areas for improvement, including the diversification of evaluation tools, broader technology integration, and additional administrative support. These insights are crucial for TEIs to refine their assessment processes in DLE-based teacher training programs and contribute to ongoing discussions in ASEAN teacher education and global educational development.
Volume: 14
Issue: 6
Page: 4724-4733
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

Resilience as a shield: protective and risk factors in a mediation model of cyberbullying among Thai secondary students

10.11591/ijere.v14i6.35482
Wiranya Junnoi , Suntonrapot Damrongpanit
This study examined cyberbullying among 366 lower secondary studentsin Northern Thailand, confirming a four-component model (masquerade (MAS), exclusion (EXC), harassment (HAR), and outing (OUT)) with excellent empirical fit. Structural equation modeling revealed resilience as the strongest protective factor against cyberbullying behaviors (β=-0.282), while authoritarian parenting (AUT) emerged as a significant risk factor (β=0.195). AUT undermined self-esteem (β=-0.162) and social relationships (β=-0.267). Self-esteem proved to be a powerful resilience builder (β=0.578). Media influence showed a direct negative relationship with cyberbullying (β=-0.196) while diminishing resilience. Resilience functioned as a partial mediator between AUT and cyberbullying (variance accounted for (VAF)=0.201), demonstrating how harsh parenting indirectly increases cyberbullying risk by eroding psychological coping mechanisms. Resilience served as a complete mediator between self-esteem and cyberbullying (VAF=0.891), revealing that healthy self-perception primarily protects against cyberbullying by strengthening psychological resilience. Additionally, resilience operated as a competitive mediator in pathways involving social networks and media influence.
Volume: 14
Issue: 6
Page: 4487-4497
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

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

A systematic review of the utilization of artificial intelligence applications within the educational Oman systems

10.11591/ijere.v14i6.33465
Yousuf Nasser Said Al Husaini , Hamed Hilal Nasser Al Yahmadi , Mohammed Abdulla Salim Al Husaini
In the wake of rapid digital transformation and the increasing role of artificial intelligence (AI) in enhancing educational outcomes, this study investigates the integration of AI applications within the Omani educational portal under Oman’s Vision 2040. A systematic review was conducted using the Education Resources Information Center (ERIC) database, focusing on peer-reviewed articles published between 2020 and 2024. The six studies were selected for analysis following a rigorous screening process with defined inclusion and exclusion criteria. The findings indicate that AI is currently enhancing personalized learning, enabling data-driven decisionmaking, and supporting hybrid education platforms in Oman. These developments reflect the educational system’s readiness to adopt further AI technologies while directly contributing to the strategic priorities of Oman’s Vision 2040. This study provides important insights for decision-makers and educators looking to enhance the incorporation of advanced AI applications, thus revolutionizing educational practices and fostering sustainable national growth.
Volume: 14
Issue: 6
Page: 4758-4769
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

A quantitative study of work values: perspectives of Vietnamese high school students

10.11591/ijere.v14i6.32951
Thanh-Thuy Ngo , Thang The Nguyen
In the context of Vietnam’s rapidly changing labor market, understanding the work values of youth has become essential for effective career guidance. By using a quantitative method to examine the work values of high school students in Vietnam, with a particular focus on the impact of gender differences. A sample of 544 students (327 female, 217 male) completing the work value questionnaire (WVQ), a validated instrument that underwent reliability testing and exploratory factor analysis (EFA) to ensure robustness. The WVQ, using a Likert scale from 1 to 5, assessed values including power (POW), benevolence (BEN), self-direction (SDI), tradition (TRA), and stimulation (STI). The results revealed that BEN and POW are dominated, with female students showing a greater inclination toward social values and self-assertive roles than male students do. BEN is received the highest mean score (4.09), followed by POW (4.03), while SDI, TRA, and STI are scored lower. These findings highlight the importance of aligning educational and career guidance programs with students’ core values, taking gender differences into account to create a supportive, inclusive environment for career decision-making. This research offers valuable insights for educators and policymakers, informing the development of vocational education strategies that are ensured by the diverse work value orientations of students.
Volume: 14
Issue: 6
Page: 4320-4328
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

The effect of dramatic play on early literacy: an experimental study

10.11591/ijere.v14i6.26607
Fatih Mehmet Aslan , Yasemin Yüzbaşıoğlu , Ayşe Alptekin , Ayşegül Sarıkaya
In line with the theories of Piaget and Vygotsky, the aim of the present study is to examine the effect of the dramatic play activities program on the early literacy skills of preschool children. The study is based on an experimental research design with pretest-posttest and control group. While the dependent variable of the study is children’s early literacy skills, the independent variable is dramatic play activity. Early literacy test (EROT) was used as data collection tool. The participants of the present study consist of 32 children divided equally as the participants of the experimental and control group. The age of the children is between 63-72 months. The children in the experimental group participated in a program of dramatic play activities over a period of 10 weeks, 5 days each week, 2 hours daily for 100 hours in total. Analysis of covariance (ANCOVA), t-test, and descriptive statistics were used in the analysis of the data. In line with the data obtained in the present study, dramatic play activity program positively affects the early literacy skills of preschool children in terms of receptive language and expressive language vocabulary acquisition, naming skills, functional knowledge, and listening comprehension skills.
Volume: 14
Issue: 6
Page: 5029-5037
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
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