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28,451 Article Results

Context-based learning in higher education 1992-2023: trends and outstanding research areas from Scopus database

10.11591/ijere.v14i5.33259
Hua Thi Toan , Nguyen Thi Thu Hang , Trinh Thanh Hai , Pham Nguyen Hong Ngu , Trinh Thi Phuong Thao
Context-based learning (CBL) has recently gained increasing attention as a pedagogical approach in higher education to enhance students’ understanding and problem-solving skills in real-world scenarios. This study aims to provide an overview of CBL-related issues in higher education as documented in publications from the Scopus database. A bibliometric analysis was employed to review 153 publications. The results show that articles on this topic have become more prevalent from 2009 to 2023, particularly in 2020 and 2022. A total of 443 authors from 160 institutions across 52 countries have contributed to research on this subject, with the USA being the most engaged nation in CBL studies in higher education, having the highest number of publications, citations, and research funding. The journal with the most publications on this topic is the International Journal of Science Education, classified in the Q1 category. Key research trends have been identified, focusing on applying CBL in engineering, software technology, teacher training, and nursing programs and its implementation in collaborative learning environments, distance learning, and online education. The findings are a critical resource for scholars interested in advancing research on CBL in higher education.
Volume: 14
Issue: 5
Page: 4050-4065
Publish at: 2025-10-01

Organizational management improvement factors in the novice principal induction program

10.11591/ijere.v14i5.31497
Aney Marinda Muhammad Amin , Norasmah Othman , Aida Hanim A. Hamid
The need for effective principal in every school is critical and the demand for leadership talent is increasing especially among novice principals. Therefore, an effective induction program would be crucial to support novice principals in improving their knowledge and leadership skills. This quantitative study aims to determine the level of implementation of the novice principal induction program regarding professional development course, coaching, and mentoring; and to identify the main components that contribute to the improvement of organizational management among novice principals. A total of 417 novice principals who participated in the induction program in Malaysia provided their feedback in a questionnaire consisting of 44 items. The items include three components in the induction program, encompassing the professional development course, coaching, and mentoring in improving organizational management. The study found that the professional development course is the main component followed by coaching in improving the management skills of novice principals. Hence, novice principals’ learning in induction should be directly linked to their own professional development to increase the effectiveness of school operations and student achievement.
Volume: 14
Issue: 5
Page: 3774-3781
Publish at: 2025-10-01

Exploring non-education faculty’s lived teaching experiences in a Philippine higher education institution

10.11591/ijere.v14i5.33744
Julanie M. Limen , Ramil B. Arante
This qualitative, phenomenological study investigates the impact of lacking formal pedagogical training on non-education faculty in the context of Caraga State University Cabadbaran Campus (CSUCC). The research explores their lived experiences to understand the specific challenges and coping mechanisms they employ in their teaching roles. Data was collected through in-depth interviews and focus group discussions with a purposive sample of ten non-education faculty members representing various disciplines at CSUCC. The sample size of 10 participants was determined by the principle of data saturation, ensuring the collection of rich and recurring data to identify significant themes. Several key themes emerged through thematic analysis of the transcribed interviews and focus group discussions. These included self-perceived teaching efficacy, difficulties encountered in test construction and syllabus design, challenges related to student engagement, and the utilization of available resources and support systems. The findings of this study provide valuable practical implications for higher education institutions (HEIs). They suggest the necessity of implementing targeted training programs, offering relevant professional development opportunities, and establishing dedicated resources to support non-education faculty better. Ultimately, these interventions aim to enhance teaching quality, improve faculty satisfaction, and foster a more supportive teaching and learning environment.
Volume: 14
Issue: 5
Page: 3935-3945
Publish at: 2025-10-01

Pre-service teachers’ demographics, cultural competence, and culturally responsive teaching practices

10.11591/ijere.v14i5.33064
Edilberto Z. Andal , Albert Andry E. Panergayo
This study examines the influence of cultural competence (CC) on culturally responsive teaching (CRT) practices among pre-service teachers (PSTs) in a state university in Laguna, Philippines. Despite the emphasis on education, the impact of cultural awareness, knowledge, and skills on CRT remains underexplored. Using a cross-sectional quantitative research design, data from 633 PSTs were collected through a validated web-based survey. Multiple regression analysis showed that cultural knowledge (B=0.373, p<0.05) and cultural skills (B=0.511, p<0.05) significantly predict CRT practices, while cultural awareness (B=0.003, p>0.05) does not. Demographic factors such as age, gender, and year level do not moderate this relationship. These findings highlight the need for prioritizing cultural knowledge and skills in teacher education curricula. Institutions should integrate structured training to equip PSTs for diverse classrooms. Future research should explore the long-term effects of these competencies in an actual teaching environment and assess targeted training interventions. Strengthening CC through curriculum enhancement can better prepare educators to meet the challenges of an increasingly diverse educational landscape.
Volume: 14
Issue: 5
Page: 3526-3533
Publish at: 2025-10-01

Unveiling multi-aspects behind students’ Arabic learning experience in creative writing

10.11591/ijere.v14i5.31974
Zakiyah Arifa , Al Lastu Nurul Fatim , Risna Rianti Sari , Ahmad Hidayatullah Zarkasyi , Dedi Mulyanto
The dynamic of team-based project (TBP) in learning stimulates multi-aspects through learning activities and experiences. Due to its complexity, the learning model impacts some skills and aspects. This research aims to identify students’ experiences of learning Arabic creative writing in TBP: language, psychology, collaboration, and creativity, and to explain the contribution of those aspects to the learning process. To understand these experiences comprehensively, this research used mixed-method model: concurrent triangulation strategy using descriptive quantitative survey and qualitative case study. Closed and opened questionnaire instruments, interviews, and focused group discussion (FGD) with participants at two Islamic Universities were used as data collection methods to confirm them mutually. Then, data was analyzed using descriptive and reflective analysis. The results found that TBP positively impacted four aspects: vocabulary, grammatical structure, and writing skills improved as language aspects. The psychological aspect can increase criticism, motivation, and self-confidence. The collaborative aspect enhanced skills and talents by providing input, criticism, and suggestions. The creativity aspect is felt by students when generating ideas and imagination during the learning process and completing projects. Through learning Arabic creative writing using TBP, severalmulti-aspects can be developed. The psychological and collaborative aspects trigger and build language and creativity skills, and this contribution gives meaningful student experiences. These findings indicate that some students’ skills can be developed through student-centered learning by integrating TBP and Arabic writing learning, which has implications for improving 21st-century skills. Also, it can be developed more in Arabic language learning as a second/foreign language in Indonesia or other countries.
Volume: 14
Issue: 5
Page: 4195-4209
Publish at: 2025-10-01

Teachers’ perceptions towards principals’ instructional supervisory role in selected secondary schools

10.11591/ijere.v14i5.34063
Bessy Kageni Kinyua , Elizabeth Atieno Obura , Johnson Mulongo Masinde
Effective instructional supervision plays a crucial role in enhancing teaching quality and student learning. However, teachers’ perceptions towards supervision vary, some view it as supportive while others see it as fault-finding. This study examines teachers’ perceptions towards principals’ instructional supervisory practices to identify areas of improvement. The Administrative theory of supervision and a concurrent triangulation mixed approach guided the study. Purposive and simple random sampling were utilized to sample 127 teachers and 10 principals. A survey and an interview guide were employed to gather data which was analyzed using descriptive and inferential statistics. An independent sample t-test and one-way analysis of variance (ANOVA) were utilized to test the mean differences in teachers’ perceptions. Findings indicate that while most teachers recognize supervision as beneficial for professional development, a significant number perceive supervision as authoritarian. The results unveiled that teachers’ gender, age and education qualification did not significantly influence their perceptions [t(98)=1.468, p>0.05, F(4, 95)=0.556, and F(4, 95)=0.174, p>0.05]. The study concludes that fostering a positive supervisory environment can enhance teachers’ confidence, improve instructional strategies, and ultimately lead to better student outcomes.
Volume: 14
Issue: 5
Page: 3891-3903
Publish at: 2025-10-01

Teaching in the digital frontier: what drives metaverse adoption in education?

10.11591/ijere.v14i5.34836
Cadelina Cassandra , Mohamad Noorman Masrek , Fadhilah Aman
The rapid evolution of digital technologies has caused dramatic changes in various areas, including education. Metaverse has become a very popular topic recently, many schools and university announce the development of metaverse, but until now there is no clear implementation of the idea and some schools cancelled to continue the implementation. One of the reasons behind it because of the lack of preparedness, reluctant from teachers, and there is no initial investigation about how the teachers will accept this technology. Several factors may influence the intention of the teachers. The purpose of this study is to analyze the factors that affect high school teachers’ intentions to use metaverse technology. By doing so, the institution can prepare for the real implementation. This study employs quantitative methods and survey techniques by developing a well-structured questionnaire from the theoretical framework. A total of 334 responses were collected and analyzed using SmartPLS software. The findings reveal that 14 hypotheses out of 18 hypotheses were significant and four others were not significant. Social influence (SI), performance expectancy (PE), effort expectancy (EE), and facilitating condition (FC) positively influence teachers’ behavioral intention (BI) to use metaverse applications. On the flip side, personal innovativeness (PI) does not significantly impact performance and EE. Trialability (TR) and corporeity (CR) also do not influence EE. However, hedonic motivation (HM), compatibility (CO), TR, interactivity (IN), and persistence are significant factors for performance and EE.
Volume: 14
Issue: 5
Page: 3601-3611
Publish at: 2025-10-01

Analysis of obstacles in teaching and learning nuclear physics: towards a digital approach in secondary education

10.11591/ijere.v14i5.30557
Aziz Taoussi , Ahmida Chikhaoui , Khalid El Khattabi , Hassan Yakkou
The study explores the specific obstacles encountered in the teaching and learning of nuclear physics within qualifying secondary schools in Morocco, particularly in the Fez-Meknes delegation. We identified a lack of specific research on this topic, despite a growing interest in improving science teaching. Using questionnaires administered to 100 teachers and 200 students, we found that the absence of laboratory experiments due to the dangers associated with nuclear physics is a major obstacle. Difficulties in understanding concepts such as radioactive decay, nuclear fusion, and fission were also noted. To overcome these challenges, we propose the development of digital teaching resources adapted to the Moroccan curriculum, including simulations and interactive tutorials. These resources are viewed positively by teachers and students alike, as they facilitate understanding of concepts, increase engagement and enable self-paced learning, promoting autonomy in learning and the development of creativity in students. For successful integration, it is essential to provide adequate training and ongoing support for teachers. The results offer concrete avenues for improving the quality of teaching in physical sciences and learning in a digital environment motivates students in Morocco.
Volume: 14
Issue: 5
Page: 3846-3858
Publish at: 2025-10-01

Identification of factors that influence student satisfaction from the analysis of voice messaging from WhatsApp: a case study

10.11591/ijere.v14i5.27328
Omar Chamorro-Atalaya , Giorgio Aquije-Cardenas , Raymundo Carranza-Noriega , Lilly Moreno-Chinchay , Yurfa Medina-Bedón , Rufino Alejos-Ipanaque , Abel Tasayco-Jala , Susan Gonzales-Saldaña
In these times when there is talk of a return to a new normality in education after what happened due to the pandemic, it is necessary to permanently evaluate the perception of student satisfaction, contributing to the results obtained through traditional methods such as the survey, with methods in which open opinions can be analyzed as in the case of voice analysis. In this sense, this article describes a case study, which aims to identify the factors that influence student satisfaction with respect to teaching performance, based on the analysis of WhatsApp voice messaging. The study has a qualitative approach, exploratory level and non-experimental design. It was possible to identify various factors grouped into five categories: i) planning; ii) didactic strategies; iii) communication; iv) administration of the class session; and v) professional and personal characteristics of the teacher. Therefore, it is concluded that it is possible to close the gaps between the factors that are sensitive and relevant for the university, when a questionnaire with delimited questions is applied to observe only some factors of student satisfaction, with respect to those sensitive factors and relevant to students, by analyzing their comments from the use of voice messaging from mobile applications.
Volume: 14
Issue: 5
Page: 3744-3755
Publish at: 2025-10-01

Experimental validation of a dual-band printed antenna array operating at 2.45/5.8 GHz with a high efficiency for wireless power transmission applications

10.11591/ijece.v15i5.pp4662-4670
Walid En-Naghma , Mohamed Latrach , Hanan Halaq , Abdelghani El Ougli
This paper presents a simple dual-band antenna element with a rectangular patch designed for the industrial, scientific, and medical bands at 2.45/5.8 GHz. The antenna achieves satisfactory simulated performance at both resonant frequencies, including a reflection coefficient below -10 dB, a voltage standing wave ratio (VSWR) not exceeding 1.2, radiation efficiencies of approximately 90% at 2.45 GHz and 95.55% at 5.8 GHz, and bandwidths of 125.80 MHz around 2.45 GHz and 308.60 MHz around 5.8 GHz. Building on this single-element design, an antenna array configuration comprising two elements etched on a Taconic TLY-5 substrate is developed. The two rectangular patches are connected via a T-junction to a 50 Ω excitation port. The proposed array's effectiveness is validated through simulations using three electromagnetic solvers and experimental measurements. The fabricated antenna array demonstrates improved performance, including a measured return loss of -16.78 dB at 2.45 GHz and -20.61 dB at 5.8 GHz, a VSWR not exceeding 1.5 (1.34 and 1.22 at 2.45 and 5.8 GHz, respectively), input impedance close to 50 Ω, high gain exceeding 8 dBi, bandwidths of 179.50 MHz at 2.45 GHz and 462.90 MHz at 5.8 GHz, and high radiation efficiencies of 96.54% at 2.45 GHz and 98.65% at 5.8 GHz. With only two patches, the proposed antenna array offers a compact, efficient, and practical solution for wireless power transmission applications, particularly for small wireless devices like rectenna systems, due to its simplicity, compact design, and excellent radiation efficiency.
Volume: 15
Issue: 5
Page: 4662-4670
Publish at: 2025-10-01

A solar-powered autonomous power system for aquaculture: optimizing dual-battery management for remote operation

10.11591/ijece.v15i5.pp4376-4386
Thomas Yuven Handaka Laksi , Levin Halim , Ali Sadiyoko
In Indonesia, growing fish consumption demands necessitate expanded, yet sustainable, fish production without sacrificing quality. The process of feeding and the quality of the surrounding water are important factors influencing fish quality. To address this, Parahyangan Catholic University's Fishery 4.0 project pioneers a unique technology that integrates water quality monitoring with a fish feeding feature. The design and implementation of an independent, reliable power module, which is fundamental to the functionality of this system, is at the focus of this research. This study shows that a designed power module adapted to the specific needs of Fishery 4.0 is feasible. The system powers all modules with a 12 V battery and is recharged with a solar panel. The battery can be charged to 95% capacity, yielding 8550 mAh from a 9000 mAh capacity. A UC-3906 charger IC controls the charging process, deliberately managing the parameters required for optimal battery charging. Particularly, when exposed to ideal solar radiation, the charger recharges a 9 Ah battery from 30% to full capacity in about 10 hours and 10 minutes. This study proposes a novel to battery management, which is critical for the operation of aquaculture equipment at isolated locations.
Volume: 15
Issue: 5
Page: 4376-4386
Publish at: 2025-10-01

Comparative analysis of convolutional neural network architecture for post forest fire area classification based on vegetation image

10.11591/ijece.v15i5.pp4723-4731
Ahmad Bintang Arif , Imas Sukaesih Sitanggang , Hari Agung Adrianto , Lailan Syaufina
This study presents a comparative analysis of 7 Convolutional Neural Network (CNN) architectures—MobileNetV2, VGG16, VGG19, LeNet5, AlexNet, ResNet50, and InceptionV3—for classifying post-forest fire areas using field-based vegetation imagery. A total of 56 models were evaluated through combinations of batch size, input size, and optimizer. The results show that MobileNetV2, VGG16, and VGG19 outperformed other models, with validation accuracies exceeding 88%. MobileNetV2 emerged as the most balanced model, achieving 96% accuracy with the lowest model size and training time, making it ideal for resource-constrained applications. This study highlights the potential of CNN-based classification using mobile field imagery, offering an efficient alternative to costly and condition-dependent satellite or drone data. The findings support real-time, localized identification of burned areas after forest fires, providing actionable insights for prioritizing recovery areas and guiding ecological restoration and land rehabilitation strategies.
Volume: 15
Issue: 5
Page: 4723-4731
Publish at: 2025-10-01

Practical specification of the speech universe of the maximum power point tracking controller based on the asymmetrical fuzzy logic: a dynamic behavior study of the photovoltaic system

10.11591/ijece.v15i5.pp4355-4365
Ahmed Amine Barakate , Sami Choubane , Abdelkader Hadjoudja
In this paper, we present a procedure for extracting data from a stand-alone photovoltaic (PV) panel to program a maximum power point tracking (MPPT) controller based on the fuzzy logic (FL) method, aiming to optimize the performance of the photovoltaic system. Photovoltaic data acquisition enables the determination of the input and output speech universe for the MPPT controller using fuzzy logic. This method adapts to nonlinear systems without requiring a complex mathematical model. Additionally, it improves the performance of the photovoltaic system in both dynamic and steady-state conditions. To further enhance the method’s efficiency, an asymmetric membership function concept is proposed based on the dynamic behavior study of the photovoltaic system. Compared to the symmetric method, the asymmetric fuzzy logic controller achieves higher maximum power output and better tracking precision. This technology is essential for maximizing photovoltaic panel efficiency, a key requirement as solar energy gains prominence as a clean and renewable energy source.
Volume: 15
Issue: 5
Page: 4355-4365
Publish at: 2025-10-01

Low complexity human fall detection using body location and posture geometry

10.11591/ijece.v15i5.pp4620-4629
Pipat Sakarin , Suchada Sitjongsataporn
This paper presents the human fall detection using body location (HFBL) and posture geometry. The main contribution of the proposed HFBL system is to reduce the computational complexity of fall detection system while maintaining accuracy, as most fall detection techniques rely on computationally complex algorithms from machine learning or deep learning. This approach examines the human posture by applying the image segmentation and ratio by posture geometry. Then, the distance transform is used to calculate the high brightness points on the human body. These points are the maximum values compared with the edge values. Afterward, one of these points is selected as a center point. A line is formed by this center point aligned horizontally to separate the upper area and lower area, then an intersection line is drawn through this center point vertically that can separate the four quadrants of body location. With the help of posture geometry, the angles are employed for prediction “Fall” or “NotFall” actions at each frame of video sequence. Referring to the dynamic balance, the ratio between the distance vectors from the center point to the right and left legs is calculated to confirm fall and non-fall activities, utilizing the Pythagorean trigonometric identity. For experiments, 2,542 images from the UR fall detection dataset, with dimensions of 640×480×3 were prepared through image segmentation to find the human body shape for analysis using the proposed HFBL system. Results demonstrate that the low computational HFBL approach can provide 91.23% accuracy, the precision value is 99.14%, the recall value is 84.48%, and the F1-score value is 91.22%.
Volume: 15
Issue: 5
Page: 4620-4629
Publish at: 2025-10-01

Real time object detection for advanced driver assistance systems using deep learning techniques

10.11591/ijece.v15i5.pp4942-4953
Sudarshan Sivakumar , Shikha Tripathi
Object detection plays a critical role in advanced driver assistance systems (ADAS), where timely and accurate detection of objects on road is essential for vehicular safety. In this study, we propose and evaluate deep learning-based object detection techniques—specifically, convolutional neural networks (CNN) and dense neural networks for real-time object detection. The proposed model is trained on a publicly available image dataset demonstrating its potential to enhance the reliability of ADAS systems without the use of an image preprocessing block. Here the system automatically stops without any human intervention. Our results highlight the strengths and limitations of using CIFAR-10, CIFAR-100 and YOLO datasets for transfer learning, pre-training and algorithm classification. Improvements in model optimization and hardware integration have been achieved using hardware in loop (HIL) set up. The models are evaluated on CIFAR-10, CIFAR-100 and YOLO datasets, with a focus on the impact of image pre-processing on detection accuracy and speed. Experimental results show that the proposed algorithm outperforms the previous methods, by achieving a better accuracy, contributing to safer and robust system without an additional image preprocessing block.
Volume: 15
Issue: 5
Page: 4942-4953
Publish at: 2025-10-01
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