Articles

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

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

27,404 Article Results

Assessment of the integration of electric vehicles into the Colombian market by 2050 using system dynamics

10.11591/ijape.v14.i2.pp421-431
Juan Camilo Gálvez , Isaac Dyner , Enrique Ángel Sanint , Andrés Julián Aristizábal
This article focuses on evaluating the prospects and potential that Colombia possesses for achieving a complete transition to electric vehicles (EV), with the goal of reaching a 100% penetration of such vehicles by the year 2050. To address this challenge, four potential scenarios are proposed, each based on different approaches and strategies. To achieve the objective described in the article, a simulation modeling approach was employed. Through this process, a definitive model was obtained that enables a visual representation of the progress of the different scenarios over the years. This graphical representation offers a clear insight into which scenarios align with the established parameters to achieve the target of nearly 100% electric vehicle adoption in Colombia by 2050. Additionally, there is a considerable reduction in CO2 emissions produced by the transportation sector in Colombia, with a 27% decrease compared to 2023. This is noteworthy given that the number of vehicles in 2050 is expected to be significantly higher than in the initial period, thus beginning a phase of declining pollution in the country.
Volume: 14
Issue: 2
Page: 421-431
Publish at: 2025-06-01

Suggestions for a better tertiary physical education experience: insights from students at a rural state university

10.11591/ijere.v14i3.32804
Jr., Ruben L. Tagare , Marlene E. Orfrecio , Eduard S. Sumera , Marlon A. Mancera , Marichu A. Calixtro , Cheeze R. Janito , Helen Grace D. Lopez , Priscilla P. Dagoc
This study explored the concerns and suggestions of generation Z students in rural communities to improve the newly implemented tertiary physical education (PE) program in the Philippines - physical activity towards health and fitness (PATHFit). Employing a qualitative-ethnographic approach, data were gathered from 20 generation Z students who were selected and participated in purposive interviews using open-ended questions validated by experts. The findings highlighted several themes following the data analysis using the Colaizzi method: PE should be engaging and fun, moving beyond traditional books and materials; a more flexible curriculum is needed, one that does not feel like a rigid prescription; student-centered activities should be prioritized to promote active involvement; lectures should be limited, with a greater focus on interactive, hands-on experiences; access to sports equipment through a borrowing system is crucial for student participation; and high-quality teaching, characterized by clear communication and practical demonstrations, is essential for a more meaningful learning experience. The study concludes and implies that generation Z students in rural communities desire a more engaging, flexible, and interactive PATHFit program that aligns with their interests and needs. Their insights provide valuable direction for enhancing the curriculum, promoting active student involvement, and ensuring that teaching is clear, practical, and engaging.
Volume: 14
Issue: 3
Page: 2438-2449
Publish at: 2025-06-01

Students’ character based on gender, grade, and school: religious, nationalism, integrity, independent and cooperative

10.11591/ijere.v14i3.29347
An-Nisa Apriani , Riki Perdana , Harun Harun , Indah Perdana Sari , Wury Wuryandani , Ahmad Salim , Andi Wahyudi , Riwayani Riwayani
This study aims to describe students’ character value and reveal the relationship of character values in elementary school children based on gender, grade and type of the school. The character values analyzed include religion, nationalism, integrity, independence, and cooperative values. This research was a quantitative method with a cross-sectional design by explaining and analyzing the results using Jeffrey’s amazing statistics program (JASP) software and students’ character values was categorized and described according to the aspect, gender, grade, and type of the school. Character of elementary school children (CESC) questionnaire was used as an instrument in this study. CESC have very good internal consistency (0.80 to 0.87) and have suitability construct model. The respondent of this study was 862 students obtained through the stratified random sampling randomly technique in elementary school at Yogyakarta Province. The result of this study confirmed that the students’ character value is a high level. The lowest aspect is integrity (2.40), while the highest aspect is religious (3.16). There is a relationship between the character values: religion, nationalism, integrity, independent, and cooperative values. It indicates that policymakers or teachers should improve students’ character value by training or applying a learning model that focuses explicitly on students’ character.
Volume: 14
Issue: 3
Page: 1916-1929
Publish at: 2025-06-01

Factors affecting engineering students’ self-perceived employability in Morocco

10.11591/ijere.v14i3.31797
Zineb Sabri , Ahmed Remaida , Benyoussef Abdellaoui , Abdessalam Ait Madi , Aniss Qostal , Fatima Ezzahra Chadli , Youssef Fakhri , Aniss Moumen
In a dynamic socio-economic world, perceiving a career opportunity and job prospects has become complex. The number of unemployed individuals is rising despite the increasing number of students pursuing higher education. This study is suggested to enhance students’ professional insertion, guide their career development initiatives, and help them acquire the skills demanded by prospective employers, thereby increasing their likelihood of employment. For this goal, this study investigates the determinants impacting self-perceived employability (SPE) among engineering students. Following a quantitative approach to explain how personal and contextual factors impact perceived employability, more than 350 Moroccan engineering students responded to a questionnaire for data collection, which had an internal consistency of 0.90. Data analysis employing advanced statistical techniques using structural equations modeling (SEM) to conduct descriptive, regression, and mediation analysis. The findings highlight that academic performance, university contribution, and personal circumstances significantly influence perceived employability, while generic skills have a minor effect. Furthermore, personal determinants are identified as stronger than contextual ones. The results provide several recommendations to stakeholders such as university administrations, teaching staff, employers, the Ministry of Education, and graduates. Additionally, they offer an insightful exploration of the intricate interactions among factors that enhance employability.
Volume: 14
Issue: 3
Page: 2132-2143
Publish at: 2025-06-01

The computer, information and communication technology, and communication skills of Thai Rajabhat University students

10.11591/ijere.v14i3.32461
Sunan Siphai , Jirattikorn Siphai , Jittirat Saengloetuthai , Jaruwan Sakulku
The lack of comprehensive data on computer, information and communication technology (ICT), and communication skills among Thai Rajabhat University students poses a challenge in developing effective educational strategies that enhance student employability and future readiness. To address this gap, this study aimed to assess these skills and analyze the skill profiles of students from Rajabhat Universities across Thailand. A total of 1,165 students were selected through multi-stage sampling, and their skills were measured using a researcher-developed 5-point Likert scale questionnaire. The results showed high levels of self-reported skills, with communication skills being the highest (mean=3.84, SD=0.669), followed by ICT (mean=3.81, SD=0.676) and computer skills (mean=3.65, SD=0.628). Latent profile analysis (LPA) identified four potential models with 2, 3, 4, and 5 groups, with the four-group model offering the best fit (likelihood=-1887.336, Akaike information criterion (AIC)=3810.673, Bayesian information criterion (BIC)=3901.762, Akaike’s Bayesian information criterion (ABIC)=3844.587, entropy=0.940). These findings provided critical insights for curriculum development and tailored interventions, supporting universities in meeting diverse student needs and improving educational outcomes.
Volume: 14
Issue: 3
Page: 1752-1760
Publish at: 2025-06-01

Pioneering educational frontiers: South Korea-ASEAN synergy in big data integration and future innovations

10.11591/ijere.v14i3.31828
Catherine Joy T. Escuadra , Ella Joy Avellanoza Ponce
This study examines the evolving trends in publication collaboration and research topics related to big data and education in South Korea and the Association of Southeast Asian Nations (ASEAN) region, analyzed through the lens of international relations (IR). Using scientometric methods, the study analyzed 2,427 publications from Web of Science (WoS) through R Studio and VOSViewer, highlighting a marked increase in publication volume, citation, and collaboration in recent years. The research focuses on key areas such as the integration of big data in teaching and performance assessment, the intersection of big data with artificial intelligence (AI), and the varying implementation frameworks across different countries. The findings reveal that while significant progress has been made, there is a need for more structured collaborative efforts. To enhance future research output and collaboration, the study recommends establishing international research networks, organizing joint projects, facilitating exchange programs, and investing in necessary infrastructure. Additionally, it suggests developing policy frameworks and securing funding to support these initiatives. Engaging industry partners and expanding collaborative networks are crucial for advancing the field and optimizing the application of big data in education.
Volume: 14
Issue: 3
Page: 2007-2017
Publish at: 2025-06-01

Information and communication technology-based learning practices and teacher professional development

10.11591/ijere.v14i3.31910
Suardi Suardi , Faridah Faridah , Sultan Sultan , Herman Herman
The rapid development of information technology has implications for its massive use in the field of education. Expectations for teachers to integrate technology into their learning practices and professional development are increasing. The teacher’s ability to integrate technology in these two activities is influenced by various factors. However, previous research has not focused on uncovering how gender, experience, certification status, and social media can contribute to information and communication technology (ICT)-based learning practices and professional competency development for teachers. Based on this gap, this research was designed to investigate the contribution of gender, experience, certification status, and social media access to teachers’ ICT-based learning practices and professional competency development. The current research was designed as a cross-sectional survey. A total of 1,756 elementary school teachers in South Sulawesi, Indonesia, were involved as research samples through online questionnaire data collection. The research results showed that there were differences in teachers’ learning practices and professional development intentions based on work experience and intensity of social media access. However, no differences were found in gender variables and certification status. Thus, these two variables become key elements in integrating ICT in learning in the future. These findings will be beneficial for teacher training institutions and policy makers.
Volume: 14
Issue: 3
Page: 1633-1642
Publish at: 2025-06-01

Effects of academic programs on stressors and coping strategies among university students

10.11591/ijere.v14i3.30108
Kwaku Darko Amponsah , Emmanuel Adjei-Boateng , David Addae , Priscilla Commey-Mintah
This study investigated the psychological aspects of stress and coping strategies among college students in the post-implementation period of Ghana’s free senior high school (SHS) policy. Focusing on the Department of Teacher Education at the University of Ghana, the research surveyed 270 students from diverse programs. Using psychological tools like the perceived stress scale and the brief coping orientation to problem experienced (COPE), the study employed statistical methods, including mean, standard deviation, Pearson product correlation, and hierarchical linear and multiple regression, to analyze the data. The findings revealed commonalities and differences in stressors and coping techniques across academic programs, indicating that the unique demands of each program influenced students’ experiences. The study did not find a significant moderating effect of gender on the stressor-coping relationship. The results highlighted the importance of recognizing program-specific variations for targeted stress management support, illustrating the interplay between stressors, coping mechanisms, and academic programs. The study concluded by emphasizing the psychological implications of these findings, offering valuable insights into the complexities of stress and coping among college students, particularly within the context of educational reforms.
Volume: 14
Issue: 3
Page: 1661-1673
Publish at: 2025-06-01

Enhanced time series forecasting using hybrid ARIMA and machine learning models

10.11591/ijeecs.v38.i3.pp1970-1979
Vignesh Arumugam , Vijayalakshmi Natarajan
Accurate energy demand forecasting is essential for optimizing resource management and planning within the energy sector. Traditional time series models, such as ARIMA and SARIMA, have long been employed for this purpose. However, these methods often face limitations in handling nonstationary data, complexity in model tuning, and susceptibility to overfitting. To address these challenges, this study proposes a hybrid approach that integrates traditional statistical models with advanced computational methods. By combining the strengths of both approaches, the proposed models aim to enhance predictive accuracy, improve computational efficiency, and maintain robustness across varied energy datasets. Experimental results demonstrate that these hybrid models consistently outperform standalone traditional methods, providing more reliable and precise forecasts. These findings underscore the potential of hybrid methodologies in advancing energy demand forecasting and supporting more effective decision-making in energy management.
Volume: 38
Issue: 3
Page: 1970-1979
Publish at: 2025-06-01

Optimal allocation of PV units using metaheuristic optimization considering PEVs charging demand

10.11591/ijape.v14.i2.pp282-290
A. Manjula , G. Yesuratnam
The distribution system is seeing a dramatic shift as a result of the increasing use of distributed generators (DGs) and plug-in electric vehicles (PEVs), or plug-in hybrid electric cars. The research endeavors to optimize the allocation of photovoltaic (PV) based DGs within radial distribution systems (RDS) while accommodating the load demand stemming from PEVs. A weighted-sum based multiobjective (WMO) technique is employed in this study to optimize three fundamental technical metrics of the distribution network: achieving the best possible voltage stability index (VSI) while reducing real power loss and total voltage variation to a minimum. Initially, the study investigates the impact of both conventional and PEVs load demand, considering PEVs load demand on distribution system performance under three charging scenarios: a situation involving peak charging, scenario involving off-peak charging, and scene of random charging. Subsequently, PV units are strategically planned, taking into account the PEVs demand within the distribution system utilizing an innovative weighted multiobjective electric eel foraging optimization (WMOEEFO) algorithm, its effectuality is validated with weighted multiobjective differential evolutionary (WMODE) and weighted multiobjective grey wolf optimization (WMOGWO) algorithms on standard test system IEEE 33-bus.
Volume: 14
Issue: 2
Page: 282-290
Publish at: 2025-06-01

Autonomy support and motivation in private music students: the role of basic psychological needs

10.11591/ijere.v14i3.33168
Qin Xiong , Mohamad Fitri Mohamad Haris
The objective of this research was to measure the impact of autonomous support and expectancy beliefs on autonomous motivation of students. The study investigated the impact of basic psychological needs on autonomous support. Furthermore, the mediating role of basic psychological needs is also analyzed. Using simple random sampling, the study collected cross-sectional data from 305 students on a Likert scale questionnaire at private music schools located in Nanchang, China. SPSS 26 and Smart PLS 4 are used for descriptive and inferential statistics and findings. The study found that autonomy support, expectancy beliefs and basic psychological needs have a significant impact on autonomous motivation. The study also found that autonomy support and expectancy beliefs also have significant influence on basic psychological needs. While the study found that basic psychological needs mediate the impact of autonomy support and expected beliefs on autonomous motivation. In addition, measuring the dimension of autonomous support, the study found that parental support and teachers’ support have a significant impact on autonomous motivation. While the study found that parental support and teachers’ support also have a significant impact on basic psychological needs. The study further confirmed that basic psychological needs positively mediate the impact of parental support and teachers’ support on autonomous motivation.
Volume: 14
Issue: 3
Page: 2018-2030
Publish at: 2025-06-01

Validation of principal’s innovation leadership scale using factor analysis in Malaysian school context

10.11591/ijere.v14i3.30397
Dayang Rafidah Syariff M. Fuad , Khalip Musa , Mat Rahimi Yusof , Bernard Swart , Ting Pick Dew , Goh Kok Ming , Amrina Rosyada Abdullah
This study addresses the need for a standardized tool to assess innovation leadership in secondary education. Despite its importance, no established instrument exists for evaluating and developing innovation leadership among school administrators. The principal innovation leadership scale (PILS) was developed and validated to bridge this gap. The process involved a literature review, expert consultations, and an initial 58-item pool. Exploratory and confirmatory factor analysis (CFA) refined the scale to 18 items across five dimensions, demonstrating strong model fit (comparative fit index (CFI)=0.957, root mean square error of approximation (RMSEA)=0.080, incremental fit index (IFI)=0.958, normed fit index (NFI)=0.947, Tucker-Lewis’s index (TLI)=0.90). The fitted model indicated a satisfactory fit, confirming that the five latent constructs effectively measure the observed variables in the questionnaire. The PILS offers a standardized tool for assessing innovative leadership among school leaders, enabling targeted improvement strategies and informing professional development programs. This study significantly contributes to the discourse on innovation leadership in education by providing a valuable instrument for evaluating and enhancing school leadership practices.
Volume: 14
Issue: 3
Page: 1790-1803
Publish at: 2025-06-01

The impact of meme integration on university students’ active learning

10.11591/ijere.v14i3.31589
Beatriz María Sastre-Hernández , María Peana Chivite-Cebolla , Miguel Ángel Echarte Fernández , Álvaro Mendo Estrella , Javier Jorge-Vázquez , Sergio Luis Náñez Alonso
This study investigates the application of memes as a didactic tool in university-level social sciences education to address the learning needs of generation Z students. In the present study, the problem of the reduction in the academic performance of students is presented to us. With this research we have sought to contrast if the meme tool can help to give an answer to this problem. The methodology was implemented in business administration, economics, and law courses. Students were tasked with designing memes related to course content. A total of 110 memes were submitted by students, and 45 participants completed an evaluation questionnaire. Correlations and a linear regression model were used mainly for data analysis. Regarding the analysis of the results obtained in specific business subjects, where 68 students were evaluated, it should be noted that the meme variable is the second most significant variable in the final grade obtained. This data seems to indicate that, if the students have been able to synthesize part of the contents in memes, this has helped them in a better assimilation of the subject, and to pass it successfully. We certainly know that young people spend a lot of their time on platforms, and the language of memes is familiar to them. These findings suggest that memes can be an effective and engaging educational tool, offering valuable benefits in the digital age for both students and educators.
Volume: 14
Issue: 3
Page: 2167-2182
Publish at: 2025-06-01

Chaotic crow search enhanced CRNN: a next-gen approach for IoT botnet attack detection

10.11591/ijeecs.v38.i3.pp1745-1754
Veena Antony , Nainan Thangarasu
Internet of things (IoT) botnet attack detection is crucial for reducing and identifying hostile threats in networks. To create efficient threat detection systems, deep learning (DL) and machine learning (ML) are currently being used in many sectors, mostly in information security. The botnet attack categorization problem is difficult as data dimensionality increases. By combining convolutional and recurrent neural layers, our work effectively addressed the vanishing and expanding gradient difficulties, improving the ability to capture spatial and temporal connections. The problem of weight decaying and class imbalance affects the accuracy rate of the existing DL models. In convolutional neural network (CNN), fully connected layer optimizes the hyperparameters by utilizing its comprehension of the chaotic crow search method. The chaotic mapping maintains equilibrium between the global and local search spaces. The crow's strategy for hiding food is the main source of inspiration for optimizing the learning rate, weight, and bias components involved in the prediction process. When compared to other existing algorithms, the UNSW-NB15 dataset's results for IoT botnet attack detection in the presence of a high degree of class imbalance demonstrated the effectiveness of the proposed convolutional recurrent neural network (CRNN) boosted with chaotic crow searching algorithm, which produced the highest detection rate with the lowest false alarm rate.
Volume: 38
Issue: 3
Page: 1745-1754
Publish at: 2025-06-01

Enhancing business analytics predictions with hybrid metaheuristic models: a multi-attribute optimization approach

10.11591/ijeecs.v38.i3.pp1830-1839
Rahmad B. Y. Syah , Marischa Elveny , Mahyuddin K. M. Nasution
This approach aims to optimize business analytical predictions through multiattribute optimization using a hybrid metaheuristic model based on the modified particle swarm optimization (MPSO) and gravitational search optimization (GSO) algorithms. This research uses a variety of data, such as revenue, expenses, and customer behavior, to improve predictive modeling and achieve superior results. MPSO, an interparticle collaborative mechanism, efficiently explores the search space, whereas GSO models’ gravitational interactions between particles to solve optimization problems. The integration of these two algorithms can improve the performance of business analytical predictions by increasing model precision and accuracy, as well as speeding up the optimization process. Model validation test results, precision 95.60%, recall 96.35%, accuracy 96.69%, and F1 score 96.11%. This research contributes to the development of more sophisticated and effective business analysis techniques to face the challenges of an increasingly complex business world.
Volume: 38
Issue: 3
Page: 1830-1839
Publish at: 2025-06-01
1 2 3
...
1826 1827
Show 27 of 1827

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