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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

Readiness and motivation in digital civic engagement among tertiary students

10.11591/ijere.v14i6.35395
Mary Ann C. Abril , Johnrey N. Manzanal , Glenda M. Dimaano , Francisco V. Aguirre , Melvin V. Babol
This study addresses the challenge of enhancing civic engagement in higher education institutions by examining the predictive relationships between readiness, motivations, and digital civic engagement of tertiary students. Employing the quantitative, correlational research approach, data collected through survey questionnaires were analyzed using Minitab statistical software. Significant insights came from the 2,205 tertiary students selected through multistage random sampling, following strictly ethical standards to ensure data privacy and anonymity. As found, a moderate level of readiness underscores the need for targeted interventions, particularly to improve the civic behavior of students. Understanding and values motives emerged as dominant drivers of engagement, indicating the strong desire of students for personal growth and learning. While respondents occasionally exhibit digital engagement, it leans toward civic activities over political involvement, focusing primarily on information consumption rather than active collaboration. Emerging as a significant predictor of engagement, developing tailored initiatives to enhance readiness is crucial to positively influencing civic participation. Higher education institutions may use these findings to develop digital interventions that serve as catalysts for long-term civic engagement among students and engage in further research on other predictive factors.
Volume: 14
Issue: 6
Page: 4812-4820
Publish at: 2025-12-01

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

University students’ perceptions on developing constructivist learning approach in classroom settings

10.11591/ijere.v14i6.35117
Cuc Thi Doan , Tuan Van Vu , Ai Nhan Nguyen
This study investigated tertiary students’ perceptions regarding constructivist learning in the context of higher education in Vietnam. It aimed to examine the general perceptions of university students towards constructivist learning and the effects of constructivist learning on students’ learning outcomes. It also examined the conditions that make students more likely to embrace or resist these approaches. The study evaluated the engagement of students in problem-solving activities through the use of constructivist learning methods. A mixed-methods approach was employed, combining both quantitative and qualitative data. Specifically, the study involved a survey of 384 students from Hanoi Law University, using a researcher-made Likert-scale questionnaire and semi-structured interviews of 20 students from the sample. While descriptive and inferential statistics were used to analyze the quantitative data, the qualitative data were thematically analyzed for common themes and patterns. The results indicate that although the participants acknowledge the benefits of constructivist methods, particularly in fostering critical thinking and problem-solving, there is still uncertainty about their ability to engage in a self-directed learning approach. The findings suggest that while the constructivist approach has been recognized, practical efforts have not been made in teaching practices, teacher training, and assessment methods to create an interactive, student-centered learning environment in Vietnam.
Volume: 14
Issue: 6
Page: 4264-4275
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

Improvement of DSIM control using fuzzy third-order sliding mode approach optimized by MOA

10.11591/ijpeds.v16.i4.pp2321-2331
Rahma Belkaid , Lamia Youb , Farid Naceri , Ghoulem Allah Boukhalfa
This study focuses on the contribution of a new hybrid controller based on the sliding mode technique associated with fuzzy logic and optimized by an innovative approach called the mayfly optimization algorithm (MOA) to improve the drive of the dual star induction motor (DSIM). The performance and robustness of this system are analyzed under different operating conditions with three proposed strategies and compared with each other under the MATLAB/Simulink environment. Through the simulation results obtained, we realize that the method that integrates the MOA with a hybrid controller associating the third order sliding mode with fuzzy logic (MOA-FTOSMC) makes a significant contribution to research work in this field and offers the best dynamic performance and adequately manages the uncertainty and variation of the system parameters under different operating regimes.
Volume: 16
Issue: 4
Page: 2321-2331
Publish at: 2025-12-01

Adaptive fuzzy logic controller based BLDC motor to improve the dynamic performance for electric tractor application

10.11591/ijpeds.v16.i4.pp2186-2196
Ashwini Yenegur , Mungamuri Sasikala
Permanent magnet brushless DC (PMBLDC) motors are widely used in a variety of industrial applications due to their high-power density and ease of regulation. The three-phase power semiconductors bridge is the standard way for controlling these motors. In order to initiate the inverter bridge and switch on the power devices, rotor position sensors must be provided with the correct commutation sequence. The power devices commutate progressively 60 degrees, depending on the location of the rotor. The right speed controllers are necessary for the motor to run as efficiently as possible. PI controllers are commonly employed with permanent magnet motors to achieve speed control in simple manner. Nevertheless, these controllers provide challenges in managing control complexity, including nonlinearity, parametric fluctuations, and load disturbances. PI controllers need accurate linear mathematical models. To overcome this, in this paper adaptive fuzzy logic controller (FLC) for controlling the speed of a BLDC motor is presented. When the motor drive system uses the adaptive FLC technology for speed control, it exhibits better dynamic behavior and is more resistant to changes in parameters and load disturbances. The main objectives of this work are to analyze and appraise the functioning of an electric tractor driven by a PMBLDC motor drive using adaptive FLC. The PMBLDC motor drive controllers are simulated using MATLAB/Simulink software.
Volume: 16
Issue: 4
Page: 2186-2196
Publish at: 2025-12-01

ANN-based MPPT for photovoltaic systems: performance analysis and comparison with nonlinear and classical control techniques

10.11591/ijpeds.v16.i4.pp2780-2791
Khadija Abdouni , Mostafa Benboukous , Drighil Asmaa , Hicham Bahri , Mohamed Bour
In photovoltaic energy systems, maximum power point tracking (MPPT) techniques are essential for optimizing power output under changing climatic conditions. Several techniques have been proposed in the literature, including classical techniques such as perturb and observe (P&O) and incremental conductance (INC), nonlinear controllers such as backstepping, and artificial intelligence-based techniques like fuzzy logic. This study compares the performance of an artificial neural network (ANN)-based MPPT approach with these nonlinear and classical MPPT techniques. It analyses the advantages and limitations of the various techniques to evaluate their performance in terms of efficiency, accuracy, and output power stability under changing climatic conditions. The study aims to help researchers select the most effective technique to improve the efficiency of photovoltaic systems. The simulation was carried out using MATLAB/Simulink. The simulation results indicated that the artificial neural network achieved better performance than the other techniques in terms of tracking speed, with an efficiency of up to 99.94%, while maintaining stable output power under changing climatic conditions. The backstepping controller also showed stable output power compared to traditional techniques. Fuzzy logic had a lower efficiency than both the artificial neural network and backstepping. Perturbation and observe and incremental conductance are easy to implement, but they showed oscillations around the maximum power point, which reduces the overall efficiency of the system.
Volume: 16
Issue: 4
Page: 2780-2791
Publish at: 2025-12-01

Predicting Emirati student academic outcomes: school tracks and standardized tests

10.11591/ijere.v14i6.33951
Fatima Al-Ali , John Rice
Global education systems apply grouping strategies to enhance academic outcomes. The United Arab Emirates (UAE) has developed school tracks to address performance gaps by offering more varied high-school tracks while also creating a local Emirates Standardized Tests (EmSAT) for measurement. This study examines the impact of educational tracks in Emirati schools and EmSAT scores on UAE university students’ academic performance. A quantitative multivariate analysis of 3,190 University of Sharjah students compared the outcomes across different high school tracks and analyzed the predictive power of EmSAT scores on university cumulative grade point average (CGPA). EmSAT scores vary significantly by tracks, with elite students performing best, followed by those in the advanced and scientific tracks. Arabic and mathematics EmSAT scores predict CGPA more strongly than English, which has a moderate effect. General track students achieve higher CGPAs compared to other tracks, even after controlling EmSAT performance and gender, suggesting a complex relationship between high school experiences and university success. The findings highlight the track model’s effectiveness, with the elite fostering strong academic pathways. However, the overlap in university achievement between the general and advanced warrants further research. The study provides insights for policymakers to refine educational strategies and enhance student outcomes.
Volume: 14
Issue: 6
Page: 4592-4603
Publish at: 2025-12-01

Mapping research trends in innovative pedagogies: a bibliometric analysis

10.11591/ijere.v14i6.34519
Nurul Eeffah Awang , Hafizhah Zulkifli , Mohd Isa Hamzah
This study examines global research trends in innovative pedagogy through a bibliometric analysis of 901 Scopus-indexed publications from 2022 to 2024. Despite the growing importance of innovative pedagogy in modern education, a systematic evaluation of its research landscape is still limited. This study bridges this gap by analyzing key trends, including influential works, authors, citation networks, and emerging themes. Using VOSviewer for data visualization, the findings reveal a growing research focus on AI-driven learning, immersive technologies, and problem-based methodologies. The analysis highlights the social sciences as the dominant field (45.3%), with increasing contributions from computer science and engineering. The United States, Australia, China, and India emerge as leading contributors, while developing regions show an increasing presence in pedagogical innovation. Research indicates a shift towards digital and experiential learning environments, yet challenges such as digital accessibility, equity, and ethical concerns persist. The study underscores the importance of interdisciplinary collaboration and policy interventions to tackle these challenges. By providing a comprehensive overview of the research landscape, this study serves as a roadmap for educators, policymakers, and researchers to promote sustainable and inclusive advancements in innovative pedagogy.
Volume: 14
Issue: 6
Page: 4567-4579
Publish at: 2025-12-01

STEM teaching competency framework for pre-service teacher: a study in Vietnam

10.11591/ijere.v14i6.35387
Phan Nguyen Truc Phuong , Bui Van Hong , Dinh Van De
Science, technology, engineering, and mathematics (STEM) education has been emphasized in Vietnam’s new general education curriculum; however, the teaching competencies of pre-service teachers in this area remain underexplored. This study addresses that gap by proposing and validating a STEM teaching competency framework tailored for pre-service teachers. A mixed-methods approach was employed, including literature review, expert interviews, and surveys. The sample consisted of 400 participants— pre-service teachers, in-service teachers, and lecturers—selected through stratified random sampling. Data were collected using questionnaires and analyzed with SPSS 24. Reliability was confirmed using Cronbach’s alpha (0.724) and construct validity was assessed through exploratory factor analysis (EFA). Results indicate that pre-service teachers face challenges in interdisciplinary integration, classroom organization, and technology application. The proposed framework includes five key domains: understanding STEM education, designing integrated lessons, organizing learning environments, implementing instruction, and evaluating and improving teaching practices. This study offers a reliable and practical tool to assess and enhance STEM teaching competencies. Its novelty lies in contextualizing competencies for pre-service teachers in Vietnam. The framework has practical implications for teacher training programs and policy development, and further application across teacher education institutions is recommended.
Volume: 14
Issue: 6
Page: 4734-4743
Publish at: 2025-12-01

A qualitative study on factors of management institute: alumni association contributing to the institute’s growth

10.11591/ijere.v14i6.32690
Raghav Sandhane , Kanchan Patil
Institutes imparting management education in India are rising in numbers. They are struggling to keep in pace with the competition and are facing several challenges. After studying these challenges, researchers have proposed several approaches including better advertisement, having experienced faculty and attracting companies for recruitment as possible areas for improvements. One of the proposed areas that seems to address a variety of the challenges, is having a better institute-alumni association. The research conducted on the alumni-institute association thus far have highlighted only a limited number of areas. Hence, this grounded study was conducted to bring forth all the possible factors and the sub factors of association between the alumni and the institute. This is a qualitative study that uses dialogic theory as an underpinning theory to aid data collection and analysis. The 13 decision makers with minimum of 15 years of teaching/administration experience in post graduate institutes were interviewed. The empirical data was analyzed using code analysis technique. The analysis presented a model of factors and sub factors to enable better institute-alumni association. The model clearly identifies the areas to focus on for developing a strong alumni association. One of the foremost findings of the research is the identification of the need for institute’s contribution in alumni growth and the ways to make this happen. Institute risk identification is another important area for alumni contribution. The developed model serves as a ready reckoner for the management institutes in its pursuit of growth.
Volume: 14
Issue: 6
Page: 4340-4352
Publish at: 2025-12-01

Pneumonia detection system using convolutional neural network with DenseNet201 architecture

10.11591/ijict.v14i3.pp1172-1178
Muhammad Qomaruddin , Andi Riansyah , Hildan Mulyo Hermawan , Moch Taufik
The diagnosis of pneumonia remains a significant challenge for medical practitioners worldwide, particularly in regions with limited healthcare resources. Traditional interpretation of chest X-rays is time-consuming and often subjective, especially when images are of low quality. This study presents the development of a web-based system utilizing the DenseNet201 architecture to address these challenges. A series of experiments were conducted to evaluate three optimizers Adam, Adamax, and Adadelta over fifty epochs. Among them, Adamax yielded the best performance, achieving a training accuracy of 93.67% and a validation accuracy of 94.20%. When tested on new data, the system consistently delivered high performance, with accuracy, precision, recall, and F1 score all reaching 96%. These results suggest that the proposed system has the potential to significantly enhance the accuracy and efficiency of pneumonia diagnosis based on chest X-rays.
Volume: 14
Issue: 3
Page: 1172-1178
Publish at: 2025-12-01

Quantifying the severity of cyber attack patterns using complex networks

10.11591/ijict.v14i3.pp1179-1188
Ahmed Salih Hasan , Yasir F. Mohammed , Basim Mahmood
This work quantifies the severity and likelihood of cyberattacks using complex network modelling. A dataset from common attack pattern enumerations and classifications (CAPEC) is collected and formalized as nodes and edges aiming at creating a network model. In this model, each attack pattern is represented as a node, and an edge is created between two nodes when there is a relation between them. The dataset includes 559 attack patterns and 1921 relations among them. Network metrics are used to perform the analysis on the network level and node level. Moreover, a rank of the CAPECs based on a complex network perspective is generated. This rank is compared with the CAPEC ranking system and deeply discussed based on cybersecurity perspective. The findings show interesting facts about the likelihood and severity of attacks. It is found that the network perspective should be given attention by the CAPEC ranking system. Finally, the results of this work can be of high interest to security architects.
Volume: 14
Issue: 3
Page: 1179-1188
Publish at: 2025-12-01
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