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29,939 Article Results

Development and validation of the principals’ digital leadership instrument using Rasch measurement model

10.11591/ijere.v14i3.32214
Peng Yuanyuan , Bity Salwana Alias , Azlin Norhaini Mansor , Mohd Rashid Ab Hamid
This study addresses the critical need for robust measurement tools in digital leadership (DL) within educational settings—a topic of increasing relevance but limited research. Using the Rasch model measurement analysis, the study aims to develop and validate an instrument tailored to assess principals’ digital leadership (PDL) in China. The questionnaire, based on the five dimensions of the International Society for Technology in Education (ISTE) for education leaders—equity and citizenship advocate (ECA), visionary planner (VP), empowering leader (EL), systems designer (SD), and connected learner (CL)—was adapted to reflect Chinese cultural contexts. Following expert validation, the 33-item instrument was piloted with 188 teachers from higher vocational and technical colleges in Sichuan Province. The Rasch analysis, performed using Winsteps 3.72.3, assessed item fit, unidimensionality, local independence, reliability, separation index, and item-person mapping. The findings revealed that 26 items met all assumptions, demonstrating the strong reliability, validity, and psychometric robustness of the instrument. In conclusion, the validated PDL instrument is a reliable tool for assessing the DL of principals within the Chinese educational context, offering insights into professional development, and sets the stage for future research and policy development in the field of educational leadership.
Volume: 14
Issue: 3
Page: 1577-1589
Publish at: 2025-06-01

Gamification with self-determination theory to foster intercultural communicative competence and intrinsic motivation

10.11591/ijere.v14i3.29858
Su Min , Noor Azean Atan , Akhmad Habibi
In globalization, possessing intercultural communicative competence (ICC) is essential for individuals’ success. However, students face motivational barriers in online intercultural learning. Thus, this study aims to explore the effectiveness of integrating gamification with self-determination theory (SDT) to enhance the intrinsic motivation, ultimately aiding in the development of intercultural communication competence among Chinese vocational college students enrolled in online English intercultural learning. Employing a mixed-methods approach involving pre-post questionnaires and interviews, the study engaged 38 vocational college students from the automobile and rail transit faculty in a four-week online English intercultural learning module enriched with gamified elements such as points, badges, leaderboards, levels, and quests. The findings indicate that gamified learning effectively fulfills students’ needs for competence and autonomy, partially addressing their needs for relatedness and consequently fostering an upsurge in intrinsic motivation. Additionally, improvements were observed in knowledge, attitude, and skill, with marginal changes noted in awareness. It is concluded that gamified learning approaches based on SDT can positively contribute to the development of intrinsic motivation and intercultural communication competence. These findings hold practical implications for educational institutions and researchers to cultivate intrinsic motivation and ICC through online gamified learning.
Volume: 14
Issue: 3
Page: 1985-1994
Publish at: 2025-06-01

Visceral manipulation intervention in functional dyspepsia with or without gastroesophageal reflux disease: a systematic review

10.11591/ijphs.v14i2.24874
Arisandy Achmad , Haidzir Manaf
Functional dyspepsia is a prevalent gastrointestinal disorder characterized by symptoms like early satiety, postprandial fullness, and epigastric pain, affecting individuals with or without gastroesophageal reflux disease (GERD). The aim was to systematically map and summarize the existing literature on visceral manipulation interventions for functional dyspepsia. The systematic review followed rigorous methodology to ensure the validity and reliability of the findings. The study involved electronic searches of four major databases and five stages to review references to screened articles from January 2012 to February 2024. The search terms include "visceral manipulation," “visceral osteopathy”, “osteopathic manipulation”, "functional dyspepsia," “gastroesophageal reflux”. Six articles were included in the review. Although there is currently little data to guide therapeutic treatment, research indicates that visceral manipulation therapy is feasible for people with functional dyspepsia, whether or not they also have GERD symptoms. Research on the effects of visceral manipulation on people with functional dyspepsia, whether or not they have GERD, is necessary to better understand treatment procedures and evaluate their advantages for patients with this condition. The growing interest in visceral manipulation intervention for functional dyspepsia is supported by mixed evidence, highlighting the need for high-quality research and larger sample sizes in future randomized controlled trials to determine its true impact.
Volume: 14
Issue: 2
Page: 1052-1059
Publish at: 2025-06-01

Grid connected solar water pumping system

10.11591/ijape.v14.i2.pp412-420
Mula Sreenivasa Reddy , Banda Srinivas Raja , Movva Naga Venkata Kiranbabu , Muzammil Parvez , Syed Inthiyaz , Nelaturi Nanda Prakash , Bodapati Venkata Rajanna , Guntukala Surendher
A grid-connected solar water pumping system (SWPS) uses solar power to pump water while simultaneously drawing power from the grid when necessary. These systems can benefit farmers in a variety of ways, including reliable power, lower electric bills, increased income, and improved economic viability. This study explores a solar photovoltaic (SPV) water pumping system designed to function with a single-phase distribution network. It utilizes an induction motor drive (IMD) and incorporates an advanced power-sharing technique for optimal performance. In addition to transferring power from SPV to IMD, a DC-DC boost converter functions as a grid interface and power factor adjustment device. Maximizing the power extracted from the SPV array is critical for optimizing its utilization. To do this, a control mechanism based on incremental conductance is implemented to track maximum power points. Simultaneously, the IMD connected to the power source inverter is regulated using a simple volt/frequency approach. The suggested system, which includes standalone, grid-interfaced, and mixed-mode situations, is developed and validated in a lab.
Volume: 14
Issue: 2
Page: 412-420
Publish at: 2025-06-01

A Delphi study on factors influencing school students’ adoption of social media as a learning platform in Malaysia

10.11591/ijere.v14i3.32939
Imelda Hermilinda Abas , Nawanantiny Krishnamurthi , Amran Rasli , Meria Ultra Gusteti
The increasing use of social media platforms among students offers potential for both academic and personal information exchange. However, the factors influencing its adoption for learning by school students remain underexplored. This study aims to identify and rank the key factors that affect the use of social media for learning among primary school students. Utilizing the Delphi method, data were collected in two rounds from 30 expert participants, who were primary school teachers, using purposive sampling. In the first round, thematic analysis identified six key factors influencing social media adoption. In the second round, these factors were ranked in order of importance, with Kendall’s W of 0.364 and a p-value of 0.000 confirming consensus. In addition, an intraclass correlation coefficient (ICC) value of 0.923 indicated reliability. The top three factors identified were learning transformation, technology reform, and long-term prospects for students. The findings suggest that schools should prioritize these factors in strategic planning. Future research could expand this study to include private and international educators, and qualitative studies like tracer research could further enrich the understanding of social media’s role in learning.
Volume: 14
Issue: 3
Page: 1743-1751
Publish at: 2025-06-01

Renewable energy usage for home energy management and its adverse impact due to the increasing trend of electric load addition in homes in the State of Kerala, India

10.11591/ijape.v14.i2.pp459-466
Thomas George , A. Immanuel Selvakumar
Nowadays renewable energy generation techniques and their application for home energy management are becoming very common topics of discussion all across the globe. The increased user comfort, bill reduction, and government subsidy schemes make more consumers interested in installing these sustainable sources in their homes. Also, the utility company will be able to level its peak load and reduce its carbon footprint. Does installing renewable energy sources in homes with a conventional billing scheme help in reducing the carbon footprint of the utility company? Also, are there chances for an increased trend of electric load addition in homes installed with renewable energy plants having net metering schemes to lead to peak load management burden? This paper is an attempt to underline the benefits of using renewable energy sources at home but at the same time what are the precautions to be taken while using the same in the state of Kerala, India. The paper also proposes an economical portable solar-powered light tower that helps in leveling peak loads in homes with on-grid power plants which are billed under a conventional block rate pricing scheme through net metering.
Volume: 14
Issue: 2
Page: 459-466
Publish at: 2025-06-01

Transforming university education: a systematic review of mathematical modeling in learning

10.11591/ijere.v14i3.32523
Ines Miryam Acero Apaza , Hugo Walter Zamata Choque , Anibal Javier Cutipa Laqui
This article is focused on analyzing the impact of mathematical modeling on the learning of university students. The starting point is the complexity of the learning process in technological careers, since cognitive, emotional, social and pedagogical elements are involved in this process, therefore, a multidisciplinary approach is required to allow a holistic understanding of educational phenomena. For this purpose, a systematic review was applied following the PRISMA guidelines and 30 research studies available in Scopus, PubMed, and Web of Science were selected. These studies highlight the importance of mathematical modeling in improving education. The results highlight a higher frequency of use for models with structural equations, models related to adaptive profiles and virtual mathematical models. It is concluded that mathematical modeling represents a valuable resource in higher education, which enriches the learning experience and prepares students to face academic and professional challenges. It is impact is manifested in the improvement of conceptual understanding, the strengthening of problem-solving skills and the close linkage between theory and practice.
Volume: 14
Issue: 3
Page: 2118-2131
Publish at: 2025-06-01

Electroencephalography and heart rate variability prognostics in mental health therapies for Malaysian workers

10.11591/ijphs.v14i2.25224
Nurnadiah Zamri , Samhani Ismail , Azimah Ismail , Norsuhaily Abu Bakar , Siti Nurani Hassan , Tuan Sharipah Tuan Hadi , Amir Zulhilmi Yahaya , Chong Siew Koon , Nor Azmi Abu Bakar
Globally, over a million individuals succumb to suicide annually, with depression contributing to 6.7% of these tragic deaths. Such crises often stem from life-induced pressures, escalating into severe mental health issues. Recognizing these early signs is pivotal, but insufficient without effective therapeutic measures. This study endeavors to address these challenges by exploring patient responses to therapy using electroencephalogram (EEG) and heart rate variability (HRV) data. Conducted in Kuala Terengganu, Malaysia, the research involves workers and employs aromatherapy, deep breathing exercises, and ruqyah alongside a control group. EEG and HRV signals monitor brain wave patterns and heart rhythm coherence, aiding in identifying depression, stress, and anxiety indicators. Integrating questionnaire data including the depression-anxiety-stress-scale (DASS), beck depression inventory (BDI), beck anxiety inventory (BAI), and statistical analysis, the study aims to evaluate therapeutic efficacy in enhancing relaxation and mental well-being. Metrics like HRV coherence ratio and EEG delta wave activity offer insights into therapy optimization. Results suggest deep breathing exercises and aromatherapy as most effective in inducing calmness, followed by ruqyah. By tailoring therapy to individual needs, especially among workers, the study endeavors to foster mental health resilience in communities, paving the path towards a mentally healthier populace.
Volume: 14
Issue: 2
Page: 760-772
Publish at: 2025-06-01

Psychological distress and coping responses among occupational safety and health competent post-COVID-19 era in Malaysia

10.11591/ijphs.v14i2.25010
Fauzah Rahimah Mohd Ali , Hafizah Pasi , Muhamad Arif Ibrahim , Raemy Mad Zein , Joy Khong Chooi Yee , Ruzita Mohd Shariff , Nur Alyani Fahmi Salihen
Amidst the COVID-19 pandemic, mental health challenges have emerged, highlighting the need to identify psychological distress and coping strategies, particularly among occupational safety and health (OSH) competent persons. This is a cross-sectional study measuring stress, anxiety, and depression levels while exploring coping mechanisms among OSH professionals in Malaysia during the COVID-19 recovery phase, using DASS-21 and Brief-COPE questionnaires. The findings indicate that chronic illness increases the risk of depression (p=0.005) and stress (p=0.047). Higher income is associated with greater risks of depression (p<0.001) and stress (p<0.001). Monthly expenses exceeding budget limits heighten the risk of depression (p<0.001) and anxiety (p=0.024). Conversely, older age decreases the risk of both depression (p<0.001) and stress (p=0.001). Caring for family members affected by COVID-19 reduces depression (p<0.001) and stress (p<0.001). Having more monthly savings decreases the risk of depression (p<0.001) and anxiety (p=0.017). The study reveals that stress individuals prefer emotional focus coping (p=0.006). Addressing these factors is crucial for mitigating psychological distress among OSH professionals.
Volume: 14
Issue: 2
Page: 779-789
Publish at: 2025-06-01

Managing cooperative learning and digital competences in secondary education: a systematic review

10.11591/ijere.v14i3.30449
Virginia A. Samane-Cutipa , Juan Carlos Callacondo Velarde , Fabian Hugo Rucano Paucar , Fabiola Talavera-Mendoza
The COVID-19 pandemic led most schools to opt for distance education, resulting in challenges in the educational field. However, the increased use of digital technology prompted studies on strategies to help reduce the digital divide concerning two key 21st-century skills: cooperation and digital competencies. This article aims to analyze the study of cooperative learning in relation to the achievement of digital competencies in secondary education. It was developed through a systematic literature review (SLR) using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, retrieving scientific information from the Web of Science (WoS) and ERIC databases, published from 2018 to 2024. The results and findings emphasize the existence of strategies aimed at improving teaching and learning, academic performance, and students’ communication and social skills through task management, the formation of cooperative teams, and conflict resolution with shared leadership. Additionally, it highlights the development of digital competencies such as information retrieval, digital interaction, virtual object creation, digital security, and responsible citizenship. The conclusions focus on using cooperative learning strategies to make the teacher’s role more efficient in interactive spaces.
Volume: 14
Issue: 3
Page: 2088-2098
Publish at: 2025-06-01

Modeling sentiment analysis of Indonesian biodiversity policy Tweets using IndoBERTweet

10.11591/ijai.v14.i3.pp2389-2401
Mohammad Teduh Uliniansyah , Asril Jarin , Agung Santosa , Gunarso Gunarso
This study develops and evaluates a sentiment analysis model using IndoBERTweet to analyze Twitter data on Indonesia’s biodiversity policy. Twitter data focusing on topics such as food security, health, and environmental management were collected, with a representative subset of 13,435 tweets annotated from a larger dataset of 500,000 to ensure reliable sentiment labels through majority voting. IndoBERTweet was compared to seven traditional machine-learning classifiers using TF-IDF and BERT embeddings for feature extraction. Model performance was assessed using mean accuracy, mean F1 score, and statistical significance (p-values). Additionally, sentiment analysis included word attribution techniques with BERT embeddings, enhancing relevance, interpretability, and consistent attribution to deliver accurate insights. IndoBERTweet models consistently outperformed traditional methods in both accuracy and F1 score. While BERT embeddings boosted performance for conventional models, IndoBERTweet delivered superior results, with p-values below 0.05 confirming statistical significance. This approach demonstrates that the model’s outputs are explainable and align with human understanding. Findings underscore IndoBERTweet’s substantial impact on advancing sentiment analysis technology, showcasing its potential to drive innovation and elevate practices in the field.
Volume: 14
Issue: 3
Page: 2389-2401
Publish at: 2025-06-01

Exploring the effectiveness of multiclass decision jungle for internet of things security

10.11591/ijece.v15i3.pp3095-3106
Smitha Rajagopal , Abhik Sarkar , Venkat Narayanan Manjunath
Network intrusion detection systems (NIDS) are vital in protecting computer networks against cyber security incidents. The relationship between NIDS and internet of things (IoT) security is pivotal and NIDS plays a significant role in ensuring the security and reliability of IoT ecosystems. Ensuring the security of IoT devices is critical for several reasons. It helps safeguard sensitive information, guarantees the dependability of crucial infrastructure, meets regulatory obligations, and fosters user confidence. As the IoT ecosystem expands, prioritizing security is essential to minimize risks and maximize the benefits of connected devices. Given the ever-expanding cyber threat landscape, the multiclass classification task is essential to empower the NIDS with an ability to distinguish between various attack patterns in less computational time. The multiclass decision jungle algorithm is investigated to optimize the performance of NIDS. The research has considered permutation feature importance to include only the relevant features from the data. Using a contemporary dataset such as CICIOT 2023, the study has demonstrated an impressive attack detection rate of over 90% for 20 modern attack types. This research has investigated the effectiveness of IoT security measures and its prospective contributions to the field of cyber security.
Volume: 15
Issue: 3
Page: 3095-3106
Publish at: 2025-06-01

An optimized transfer learning-based approach for Crocidolomia pavonana larvae classification

10.11591/ijai.v14.i3.pp2270-2281
Risnawati Risnawati , Rodiah Rodiah , Sarifuddin Madenda , Diana Tri Susetianingtias
The increasing demand for mustard greens has driven farmers to continuously improve mustard greens cultivation. One of the challenges in mustard greens cultivation is the presence of insect pests. A significant pest in mustard greens is Crocidolomia pavonana (C. pavonana). C. pavonana damages plants by feeding on various parts, especially the leaves. The initial step in controlling them is insect pest monitoring. Monitoring aims to establish the control threshold. C. pavonana larvae have four instar stages: instar 1, 2, 3, and 4. Identification of the instar larval stages utilizes deep convolutional neural network (CNN) to classify C. Pavonana larvae on mustard greens using ResNet50V2 and DenseNet169 architectures optimized to enhance classification accuracy. The classification evaluation results show that both DenseNet169 and ResNet50V2 models achieve high accuracy, with DenseNet169 reaching the highest accuracy at 97.1%, while ResNet50V2 achieves an accuracy of 94.2%. The lower loss values on the test data compared to the validation data indicate that the deep learning models have successfully captured the patterns in C. pavonana images for classification. This classification process is expected to be one of the activities in monitoring the instar larvae to improve the accuracy of insecticide spraying and enhance mustard greens production.
Volume: 14
Issue: 3
Page: 2270-2281
Publish at: 2025-06-01

In the zone or out of bounds? How sports and physical activity anxiety affects life satisfaction among students

10.11591/ijere.v14i3.33530
Marlon A. Mancera , Eduard S. Sumera , Jr., Ruben L. Tagare , Gilbert E. Lopez , Irish M. Orgeta , Yashier T. Haji Kasan , Harold Deo Cristobal , Armand G. Aton , Gauvin Adlaon
This study aims to explore the relationship between sports and physical anxiety and life satisfaction among college students in a leading Philippine state university. Employing a quantitative research design, specifically descriptive correlation, data were collected from 2,043 respondents using simple random sampling. The research utilized the physical activity and sport anxiety scale and the life satisfaction index to measure the respective constructs, with analyses conducted using Spearman’s rho correlation coefficient to assess relationships between variables. Results indicated a significant relationship between sports and physical anxiety and life satisfaction, revealing that higher levels of anxiety corresponded to lower life satisfaction. These findings highlight the importance of addressing sports and physical anxiety to improve overall well-being. Implications suggest that institutions should implement mental health and wellness initiatives aimed at reducing anxiety and promoting supportive environments in physical education settings. By fostering a culture that prioritizes psychological well-being alongside physical engagement, institutions can enhance students’ life satisfaction and overall quality of life.
Volume: 14
Issue: 3
Page: 1844-1855
Publish at: 2025-06-01

Demographic determinants of patronage of medicine hawkers by commercial vehicle passengers in Ghana

10.11591/ijphs.v14i2.24606
Joy Ato Nyarko , Kofi Osei Akuoko , Jonathan Mensah Dapaah , Nana Yaa Serwaa Akuoko , Egwolo Perpetual Iyengunmwena
Medicine hawking is one of the major public health problems of the global south. This present study examined the demographic determinants of patronage of the services of medicine hawkers among commercial vehicle passengers in Kumasi, Ghana. A cross-sectional study was carried out from February 2022 to March 2022 at major bus terminals in Kumasi. Data were descriptively and inferentially analysed. The survey revealed that 55% of the respondents had bought medicines from medicine hawkers before. There was a significant relationship between having bought from a medicine hawker before and the intention to buy from them again in the future. Also, age, religion and education contributed significantly to patronising the services of medicine hawkers. We recommend that government intensifies its public health education on the implications of seeking health care services from these medicine hawkers.
Volume: 14
Issue: 2
Page: 912-918
Publish at: 2025-06-01
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