Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

28,451 Article Results

Physics mathematization from a teaching perspective: secondary school teachers’ perceptions

10.11591/ijere.v14i5.28774
Abdelwahab El Azzouzi , Ihsane Kouchou , Abdelrhani Elachqar , Fatiha Kaddari
The courses of physics and mathematics are usually related. So, it is essential to transfer mathematical knowledge and skills to understand and solve a situation in physics. The main objective of this research is to identify teachers’ perceptions of physics mathematization. To highlight our objective, we used an analysis of textbooks and scientific literature to support a questionnaire for 141 physics teachers in the region of Fez, Meknes, Morocco. The teachers emphasized that to understand or solve problematic situations in physics it is important to go through mathematics. Still, the majority of them do not have clear ideas on how to do it. However, in the absence of a unified method, the teachers suggest some work techniques with their students whose contents are purely mathematized to overcome the difficulty of physics mathematization. This research is primarily related to curriculum development, teacher training, and the need to foster a deeper understanding of the relationship between mathematics and physics in the Moroccan educational system.
Volume: 14
Issue: 5
Page: 4119-4128
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

The tug-of-war between sports and physical activity anxiety in quest for self-actualization among university students

10.11591/ijere.v14i5.33596
Jr., Ruben L. Tagare , Norge D. Martinez , Lara Ivanah C. Nadela , Cheeze R. Janito , Jomar B. Esto , Jerum B. Elumbaring , Jemwell B. Francisco , Joanna Caryl P. Esponja , Vinus P. Java , Gauvin Adlaon , Sarah Jane B. Labarda , Joseph Lobo , Jet C. Longakit , Teejay D. Panganiban
This study investigates the relationship between sports and physical activity anxiety and self-actualization among university students. Utilizing a quantitative research design with a descriptive correlation approach, the study involved 2,043 respondents selected through simple random sampling. Two primary instruments were employed: the physical activity and sport anxiety scale (PASAS) to measure anxiety levels and the index of self-actualization to assess self-actualization traits. Data were analyzed using descriptive statistics and Spearman’s rho correlation coefficient to explore the relationships between the variables. Results revealed that respondents exhibited low levels of sports and physical activity anxiety and moderate levels of self-actualization. Notably, a significant negative correlation was identified between sports and physical activity anxiety and self-actualization. These findings imply that higher anxiety related to sports and physical activities is associated with lower levels of self-actualization, highlighting the need for supportive environments that mitigate anxiety in physical activity contexts. The study underscores the importance of implementing strategies to reduce anxiety and promote self-discovery, ultimately fostering resilience and personal growth among students.
Volume: 14
Issue: 5
Page: 3390-3402
Publish at: 2025-10-01

Intergenerational social mobility and the ambivalent role of higher education: a systematic review

10.11591/ijere.v14i5.33079
Reynaldo Justo Mendoza Marín , Henry Bernardo Garay Canales , Alejandro Aldana Cáceres , Paulo César Callupe Cueva
University education has historically been considered a means of upward social mobility. However, recent studies question this equalizing role, finding substantial differences in the “rewards” it represents according to social class. Thus, the objective of this research is to analyze the relationship between having university studies and experiencing intergenerational social mobility in today’s world. For this purpose, a systematic review of the literature was carried out under a qualitative approach. A bibliographic search was carried out in academic data bases of renowned prestige, such as Scopus, Web of Science, and ERIC. Specific search terms such as “intergenerational social mobility”, “university education” and “inequality” were also used, considering the period between 2014 and 2024. A total of 28 articles were analyzed. The findings show that, while graduates with professional parents effectively capitalize on the educational credential, those who come first in their families face more barriers to translating the degree into occupational mobility. Socioeconomic origin also delimits trajectories within universities and impacts on dropout, graduation, and differentiated academic performance. Consequently, the magnitude of this mobility varies significantly by social origin, with graduates from professional or academic families demonstrating a markedly greater ability to leverage their educational credentials in the labor market.
Volume: 14
Issue: 5
Page: 3478-3489
Publish at: 2025-10-01

Research skills and digital competence in Huancavelica students during COVID-19

10.11591/ijere.v14i5.32702
Daker Riveros-Anccasi , Lizeth Karina Riveros-Terrazo , Ubaldo Cayllahua-Yarasca , Charapaqui Anccasi-Juan , Angel Epifanio Rojas-Quispe , Christian Luis Torres-Acevedo , Carlos Laurente-Chahuayo
This study addresses the challenge of developing research skills among teacher training students at the National University of Huancavelica during the COVID-19 pandemic, focusing on the role of digital competencies. Using a quantitative, descriptive correlational design, data were collected from 180 students across four professional education programs in the VII and IX cycles. Two questionnaires, comprising 40 and 45 questions respectively, assessed digital competencies and research skills. The data, analyzed using SPSS (version 25) with a 5% margin of error, revealed a strong positive correlation (Rho=0.808) between digital competencies and research skills. Students with higher digital literacy, particularly in information and data literacy and communication and collaboration, demonstrated better proficiency in research tasks such as designing methodologies, data analysis, and presenting findings. The study emphasizes the importance of integrating digital skills into teacher education to enhance research capabilities, especially in post-pandemic educational contexts. Notably, 60% of students with “excellent” digital competency levels achieved “excellent” research skills, compared to only 10% with “good” competencies. These findings underscore the need to prioritize digital literacy in teacher education programs to support the development of essential research skills.
Volume: 14
Issue: 5
Page: 4019-4028
Publish at: 2025-10-01

Enhancing educational research through collaboration: insights from Philippine centers of excellence

10.11591/ijere.v14i5.33403
Nilo Jayoma Castulo , Arlyne C. Marasigan , Xiaoyuan Xu
With the increasing popularity of internationalization in higher education, research collaboration is essential for universities to compete for world university rankings. This popularity made the Philippines no exemption in conforming to the trend. However, the Philippine education system is facing an education crisis, noting the problem of research productivity in graduate education as highlighted by the Philippine government report, known as the EDCOM II report. To fill this gap, this study examines the Philippine research collaboration in the Philippine setting, particularly the center of excellence (COE) in teacher education institutions. The study utilized a bibliometric approach to analyze the research collaboration following two phases: global and local analysis. It analyzed data between 2014 and 2023 in 21 COE teacher education institutions recorded in SciVal. The findings reveal that the Philippines ranked sixth in international educational research collaboration, lagging behind Vietnam, Malaysia, Indonesia, Singapore, and Thailand. Europe has the highest number of countries collaborating with the Philippines, while Asia Pacific has the highest number of co-authored publications. Regarding the collaboration sector, academic-only collaboration is the most popular. Moreover, De La Salle University has the highest national collaboration, while the University of the Philippines has the highest international collaboration in educational research collaboration. This study provides a comparative analysis of research collaboration among COE in teacher education, offering insights for policy and internationalization strategies. Moreover, this study contributes to understanding the Philippines’ research collaboration status, offering policy and practice recommendations for improvement.
Volume: 14
Issue: 5
Page: 3355-3366
Publish at: 2025-10-01

The underlying physics concept of a soccer game as a catalyst for enhancing creative thinking skills

10.11591/ijere.v14i5.32682
Ida Sriyanti , Mardiah Afifa , Meilinda Meilinda , Anisya Sefina Puteri , Nyimas Aisyah , Wahyu Indra Bayu , Zulkardi Zulkardi , Ratu Ilma Indra Putri , Hapizah Hapizah
Teachers need to improve students’ creative thinking skills by incorporating relevant everyday contexts. Soccer, as a familiar part of daily life, has not been widely used in education, and its impact on creative thinking requires further study. This research aimed to develop a contextual physics e-module centered on soccer to enhance creative thinking in physics learning. The study followed Rowntree's development model, including planning, development, and evaluation, with Tessmer’s formative evaluation through expert reviews, one-on-one assessments, small-group evaluations, and field tests. The creative thinking indicators used in the research are fluency, flexibility, originality, and elaboration. Data were collected from 346 high school students in Palembang via walkthroughs, questionnaires, and written tests, then analyzed using SPSS version 16. The results showed that the soccer-based physics e-module is valid (Sig. 0.00), practical (one-to-one: 82.75%; small group: 91.00%), and in the moderate category for improving creative thinking (N-gain: 0.59). These findings highlight the need to explore other everyday contexts and assess the long-term impact of the e-module across different educational settings.
Volume: 14
Issue: 5
Page: 3712-3726
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

Facial image analysis for autism spectrum disorder detection in toddlers using deep learning and transfer learning

10.11591/ijece.v15i5.pp4856-4864
Anupam Das , Prasant Kumar Pattnaik , Anjan Bandyopadhyay
Autism spectrum disorder (ASD) is a neurological illness that manifests itself through restricted and repeated activity patterns, frivolous or recidivist interests or hobbies and consistent handicaps to social interactions and exchanges. Better results and early intervention are dependent upon the early identification of people with ASD. Doctors employ a variety of techniques to anticipate autism, including genetic testing, neuropsychological testing, hearing and vision screenings, and diagnostic interviews. In addition to requiring more time and money, the traditional diagnosis approach makes the parents of children with extensive developmental abnormalities feel too inadequate to disclose their condition. So, we need a tool that can detect autism early in less time and money. Machine learning methods can be used to fulfill this criterion. In this study, deep learning with transfer learning (VGG-16) is used to detect autism through facial images of children and achieved almost 97% accuracy. The suggested model significantly improves accuracy and saves time and money by using face features in photos of children to identify early autism tendencies in children.
Volume: 15
Issue: 5
Page: 4856-4864
Publish at: 2025-10-01

New approximations for the numerical radius of an n×n operator matrix

10.11591/ijece.v15i5.pp4732-4739
Amer Hasan Darweesh , Adel Almalki , Kamel Al-Khaled
Many mathematicians have been interested in establishing more stringent bounds on the numerical radius of operators on a Hilbert space. Studying the numerical radii of operator matrices has provided valuable insights using operator matrices. In this paper, we present new, sharper bounds for the numerical radius 1/4 ‖|A|^2+|A^* |^2 ‖≤w^2 (A)≤1/2 ‖|A|^2+|A^* |^2 ‖, that found by Kittaneh. Specifically, we develop a new bound for the numerical radius w(T) of block operators. Moreover, we show that these bounds not only improve upon but also generalize some of the current lower and upper bounds. The concept of finding and understanding these bounds in matrices and linear operators is revisited throughout this research. Furthermore, the study emphasizes the importance of these bounds in mathematics and their potential applications in various mathematical fields.
Volume: 15
Issue: 5
Page: 4732-4739
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

Enhancing source currents and ensuring load voltage stability in railway electrification system via unified power quality conditions implementation

10.11591/ijece.v15i5.pp4430-4444
Kittaya Somsai , Jeerapong Srivichai , Veera Thanyaphirak
In recent years, interest in electric railway system as a transportation solution for large urban areas has grown significantly. This increased attention stems from several key advantages, including environmental friendliness, high performance, reduced maintenance costs, and lower energy expenses. Railway electrification system rely on supplying power to trains through single-phase transformers. However, these transformers can cause issues such as current imbalances and harmonics at the system connection point, which may impact critical loads. Additionally, fluctuations in source voltage can influence the system's performance. This study examines the causes of unbalanced loading in railway electrification system and introduces an innovative unified power quality conditioner (UPQC) specifically designed for integration into low-voltage railway electrification system. The proposed UPQC aims to restore current balance, minimize harmonics, and enhance overall power quality. Furthermore, it addresses the mitigation of voltage sags in the power distribution network. The simulation results generated through MATLAB programming demonstrate the UPQC's effectiveness in enhancing system performance. The findings reveal that the UPQC reduces source current imbalance to less than 1.6% and total harmonic distortion (THD) to below 4.89% across all test scenarios. Additionally, the UPQC successfully maintains a load bus voltage of 25 kV during single-phase-to-ground and unbalanced three-phase-to-ground fault conditions.
Volume: 15
Issue: 5
Page: 4430-4444
Publish at: 2025-10-01

Prospective applications of assistive robotics for the benefit of population groups

10.11591/ijece.v15i5.pp4531-4541
Anny Astrid Espitia-Cubillos , Robinson Jimenez-Moreno , Javier Eduardo Martínez-Baquero
The development of robotics has reached various fields of application such as the assistance field, where robots support people with different abilities in different activities to provide independence, comfort and interaction, even improving their self-esteem and quality of life. The objective is to identify the main benefits of the application of assistive robotics achieved to project its future fields of action. For this purpose, the Scopus database is used to find documents related to assistive robotics, which are filtered by publication date and according to the elimination criteria determined by the authors, and then bibliometric networks are constructed using VOSviewer. Finally, the main findings are analyzed and presented according to their area of application. Five areas of application of assistive robotics are identified that benefit children, the elderly, provide hospital assistance, help people with disabilities or support therapy and rehabilitation work, developments that allow the formulation of areas for future study. It is concluded that there are many advances in assistive robotics that demonstrate robotic development and provide assistance to a particular population, but more work is still needed to increase the number of beneficiaries, reduce costs and expand research in the areas mentioned and to be developed.
Volume: 15
Issue: 5
Page: 4531-4541
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

Dynamic head pose estimation in varied conditions using Dlib and MediaPipe

10.11591/ijece.v15i5.pp4581-4592
Rusnani Yahya , Rozita Jailani , Nur Khalidah Zakaria , Fazah Akhtar Hanapiah
This paper presents the formulation and validation of a dynamic head pose estimation (HPE) algorithm, addressing challenges related to diverse conditions, complex poses, and partial obstructions. The study aims to create a robust algorithm that maintains high accuracy in real-time applications across varying conditions. The algorithm was implemented and assessed using Dlib and MediaPipe models. The study involved 30 participants in face and head without obstacles, face with obstacles and head with obstacles conditions. The results demonstrated impressive performance in both controlled and spontaneous head movement categories. The algorithm achieved an average accuracy of 93% for head pose estimation and 88% in detecting visual attention under spontaneous head movement categories. A correlation coefficient of 0.866 indicates a strong positive linear association between performance and attention accuracy, indicating that performance improvements are intricately linked to proportional increases in attention accuracy. However, this does not necessarily imply causation. The findings provide valuable insights into the effectiveness of the proposed algorithms in assessing visual attention and demonstrate their potential applications in healthcare monitoring, educational intervention, and driver monitoring systems. The significance of these results lies in the ability to advance human-computer interaction, enhance healthcare diagnostics, and offer innovative solutions across various domains.
Volume: 15
Issue: 5
Page: 4581-4592
Publish at: 2025-10-01
Show 23 of 1897

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration