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29,922 Article Results

Strategic integration of social media in information technology sector communication: designing effective practices

10.11591/ijece.v15i5.pp4653-4661
Benu Kesar , Shaji Joseph
This paper explores the transformative role of social media in enhancing communication and workflow efficiency within the information technology (IT) sector. We have introduced the adaptive social media for information technology collaboration (ASMIT) framework. Its goal is to provide a holistic strategy for digital transformation in the IT sector. Employing a mixed method approach, the research combines a systematic literature review with case study of HCL Technologies. Thematic analysis categorizes findings under five core pillars of the ASMIT framework. Results indicate that AI-driven tools, when embedded within collaborative social media platforms, significantly enhance organizational agility, project coordination, and security. The study contributes to IT scholarship by bridging technological integration with human-centered collaboration strategies.
Volume: 15
Issue: 5
Page: 4653-4661
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

Fourth industrial revolution model in the context of basic education in the Davao Region, Philippines

10.11591/ijere.v14i5.33483
Tomas Jr A. Diquito , Jr., Silverio V. Magallon
The Philippines is among the developing countries in the world which significantly affected by the technological advancement brought about by the fourth industrial revolution (4IR). Advancing the country’s manpower in the modern world requires preparedness for technological advancements. Thus, this study proposes a model in the context of basic education to better equip learners with modern approaches to education. The use of quantitative research design and factor analyses (both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA)) was carried out. A total of 550 teachers participated in the study, with 250 in EFA and 300 in CFA. The used of data reduction technique in EFA and model fit indices measures in CFA were used in the analyses. The results revealed three crucial dimensions in advancing education in the 4IR, these are: i) protection using cybersecurity; ii) use of simulation in teaching; and iii) school data management and analytics. Based on these findings, a model in basic education was developed to boost the Davao Region, Philippines’ preparedness to embrace technological advancement in the modern world. Moreover, the findings of this study can also serve as baseline data for other countries with similar profiles to the Philippines on how to approach education in 4IR.
Volume: 14
Issue: 5
Page: 3436-3447
Publish at: 2025-10-01

Determinants of undergraduate recycling behavior: an extended model of the theory of planned behavior

10.11591/ijere.v14i5.32391
Tan Owee Kowang , Lim Kim Yew , Ong Choon Hee , Goh Chin Fei
Promoting positive recycling behavior should be part of the higher educational objectives. The main purpose of this research is to identify the determinants of recycling behavior among undergraduates, to assess the differences in undergraduates’ recycling behavior based on their demographic, and to explore the relationship between the determinants and behavior of recycling. The research extended the theory of planned behaviors (TPB) by adding environmental awareness as a determinant of recycling behavior in addition to attitude toward recycling, subjective norm of recycling, and perceived behavioral control over recycling. The research population comprises management programs undergraduates from a public university in Malaysia. A total of 259 responses were collected via structured questionnaire. Descriptive and Pearson correlation analysis results suggested that respondents strongly agreed that undergraduates’ attitudes and environmental awareness are the most important determinants of recycling behavior, and both determinants are strongly correlated with recycle behavior. The analysis of variance (ANOVA) analysis result also reveals that there is significant difference on recycle behaviors among undergraduates based on year of study, with year 4 undergraduates exhibiting the highest recycling behavior. This finding suggests that the green campus initiatives taken by the university are effective. Additionally, extending the TPB model by adding awareness implies a theoretical contribution of this research.
Volume: 14
Issue: 5
Page: 3727-3734
Publish at: 2025-10-01

Acceptance of mobile English learning among college students in Henan

10.11591/ijere.v14i5.32876
Qiong Xiao , Soo Ruey Shing , Yu Lv
The portability of smartphones offers tremendous potential for language learning. However, the willingness to accept and the practical adoption of mobile learning in English study among college students from Henan, China requires deeper exploration, due to the lower digital competency and limited usage of digital tools of English teachers in Henan, China. Targeted at the college students from Henan, this research intends to investigate factors influencing their intention to adopt mobile apps in learning English by conducting a quantitative study within the framework of modified technology acceptance model (TAM) model. Purposive sampling method was used and online questionnaire was administered among 511 college students with mobile English learning experiences from one comprehensive university in Henan and data were analyzed via SPSS and structural equation modelling (SEM). The key findings include: i) social influences (SI), perceived usefulness (UF), and perceived enjoyment (PEEN) significantly impact students’ intention to adopt mobile English learning; ii) SI affect students’ intention via the mediator of UF; and iii) perceived ease of use (EOU) does not significantly impact students’ intention. This research highlights the role of teachers’ influences in students’ adoption of mobile English learning and emphasizes the need for further improvement in mobile apps design to facilitate the learning experiences.
Volume: 14
Issue: 5
Page: 3546-3556
Publish at: 2025-10-01

Overcoming challenges in managing public schools of novice principals

10.11591/ijere.v14i5.33538
Jayson Ryan T. De Leon , Rich Paulo S. Lim , Justin Vianey M. Embalsado , Jed V. Madlambayan , Chillet G. Credo , Ricardo C. Salunga
A qualitative phenomenological approach was utilized in this study to explore the challenges experienced by novice school principals and how they overcome these challenges in managing their schools in the Division of Mabalacat City during school year 2023-2024. Guided by in-depth one-on-one semi-structured interviews, data was gathered from nine public elementary school principals. With the transcribed data, coding was employed using thematic analysis. Results showed that novice principals’ challenges are categorized into two: i) interpersonal challenges, including keeping the school safe and conducive and engaging with stakeholders, and ii) intrapersonal challenges, which include transitioning to higher roles and responsibilities and catching up with the new knowledge and skills needed to acquire. Moreover, novice principals experienced in overcoming these challenges were also examined. Findings revealed that growing interpersonal skills by establishing a good relationship with stakeholders and building rapport with teachers and growing intrapersonal skills by never stopping learning and having the right attitude would help them cope with their difficulties in managing the school. Finally, a proposed novice principals’ challenges model framework was developed and recommended for use in the Division of Mabalacat City to improve the knowledge, skills, and qualities of beginning and aspiring principals with their new roles in managing their schools.
Volume: 14
Issue: 5
Page: 3686-3701
Publish at: 2025-10-01

Development of a fuzzy logic-based greenhouse system for optimizing bio-fertigation

10.11591/ijece.v15i5.pp4555-4568
Achouak Touhami , Amina Bourouis , Amel Mahammedi , Sana Mechraoui , Sana Touhami
Modern agriculture faces growing challenges in meeting food and resource demands, particularly with increasing pressure on water and fertilizer usage. This study proposes a fuzzy logic-based algorithm to optimize bio-fertigation by managing key greenhouse parameters—temperature, humidity, soil pH, and soil moisture. Implemented in MATLAB, the system automates the control of actuators (fan, heater, irrigation, fertilization and fertigation pumps) based on sensor data and fuzzy rules. Results show a 27.58% reduction in water use, 58.82% decrease in fertilizer consumption, and a 47.5% increase in tomato yield. Additionally, statistical error metrics mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and mean absolute percentage error (MAPE) were reduced to zero, confirming the system’s high precision and effectiveness in promoting sustainable agricultural practices.
Volume: 15
Issue: 5
Page: 4555-4568
Publish at: 2025-10-01

Remote sensing applied to cocoa crop identification, a thematic review

10.11591/ijece.v15i5.pp4848-4855
Luisa Fernanda Cuellar-Escobar , Vladimir Henao-Céspedes
This article presents a thematic review of 25 publications related to the use of remote sensing techniques for the identification of cocoa crops from 2000 to 2023. Although the use of remote sensing techniques is widely used for mapping different covers because it is very useful in discriminating them, the generation of maps of cocoa crops presents challenges due to their spectral behavior similar to that of forests. This is because cocoa cultivation, being an agroforestry system that is developed in association with timber trees, causes the classification algorithms used to fail to differentiate between forest cover and cocoa crops. For this reason, this study seeks to investigate the different remote sensing techniques used in the mapping of cocoa crops, as well as an analysis of the structure of the publications highlighting the connections between countries and the factors that motivated the authors to research this crop.
Volume: 15
Issue: 5
Page: 4848-4855
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

Enhancing software fault prediction using wrapper-based metaheuristic feature selection methods

10.11591/ijece.v15i5.pp4803-4812
Ha Thi Minh Phuong , Dang Thi Kim Ngan , Dao Khanh Duy , Nguyen Thanh Binh
The application of software fault prediction (SFP) to predict faulty components at the early stage has been investigated in various studies. Reducing feature redundancy is key to enhancing the predictive accuracy of SFP models. Feature selection methods are utilized to select and retain the features that contribute the most information while eliminating irrelevant or redundant features from software fault datasets. However, feature selection (FS) in the field of SFP remains a broad and continuously evolving field, encompassing a diverse range of techniques and methodologies. In this work, we study and perform empirical evaluation of ten wrapper FS methods, namely artificial butterfly optimization (ABO), atom search optimization (ASO), equilibrium optimizer (EO), Henry gas solubility optimization (HGSO), poor and rich optimization (PRO), generalized normal distribution optimization (GNDO), slime mold algorithm, Harris hawk’s optimization, pathfinder algorithm (PFA) and manta ray foraging optimization for resolving the data redundancy issue in SFP datasets. Experimental results on nine fault datasets from the PROMISE and AEEEM repositories show that the EO achieves the best performance, with PRO and HGSO ranking next. The comparative analysis revealed that ten wrapper-based FS methods demonstrated a substantial improvement in handling data redundancy issues for SFP.
Volume: 15
Issue: 5
Page: 4803-4812
Publish at: 2025-10-01

Well-being and engagement: its implications for university policy on administrative employee’s wellness program

10.11591/ijere.v14i5.34387
John Michael D. Aquino , Jayson L. de Vera
The well-being and engagement of administrative employees are critical to creating a productive and sustainable work environment. This study investigates causes of university administrative staff well-being and professional involvement. This study examines: i) employee engagement and well-being; ii) administrative employees’ biggest workplace challenges; and iii) how wellness programs promote personal and professional progress. This study used a concurrent triangulation mixed-method research approach. Gallup’s employee engagement survey found that 124 employees have overall favorable attitudes, with a composite mean score of 4.36 demonstrating moderate to high levels of engagement across key workplace indicators. The inconsistent recognition may have an impact on involvement, with the lowest mean of 3.80 and the biggest variability of 1.09. Meanwhile, semi-structured interviews were conducted with 12 administrative employees from a university in region 4A. The findings highlight factors influencing well-being, such as effective communication, work-life balance, positive office environments, and opportunities for promotion. Stress, heavy workloads, and insufficient recognition were seen to be significant challenges, whereas coping strategies including task prioritization, emotional regulation, and peer support were regarded as critical. The results show that well-being boosts commitment and productivity, whereas engagement improves mental health and job happiness. Universities must offer stress management, professional development, and recognition to improve results and staff engagement.
Volume: 14
Issue: 5
Page: 3515-3525
Publish at: 2025-10-01

Development of a counselling-based self-wellbeing model for informal caregivers of childhood cancer patients in Malaysia

10.11591/ijere.v14i5.32468
Nurul Hasyimah Mat Rani , Nurul ‘Ain Mohd Daud , Hapsah Md Yusof , Syaza Hazwani Zaini , Pau Kee , Mazuki Mohd Yasim , Wan Faizatul Azirah Ismayatim , Nur Shuhana Mohd Sansuddin
Cancer is a chronic disease that causes patients and their caregivers to face various challenges throughout treatment and care. This study aimed to develop a counselling-based self-wellbeing model for informal caregivers of childhood cancer patients in Malaysia. This study employed the design and development research (DDR). The first phase involved needs analysis using a systematic literature review and semi-structured interviews of nine caregivers of childhood cancer. The second phase involved two methods: nominal group technique (NGT) and interpretive structural modeling (ISM). The third phase involved evaluating the usability of the model through the Fuzzy Delphi method (FDM) with the agreement of seven experts. This study successfully developed a counselling-based self-wellbeing model for informal caregivers of childhood cancer patients in Malaysia. This model has 12 components consisting of: i) financial; ii) career; iii) knowledge related to management and care of child cancer patients; iv) emotional management and care; v) spiritual; vi) cognitive and rationalization; vii) social relationships; viii) roles of counsellors in helping parents; ix) spouse and family relationships; x) physical; xi) communication; and xii) facilities. This model is proposed to be used by counsellors, especially who serve in health institutions to help parents who have children with cancer.
Volume: 14
Issue: 5
Page: 4222-4230
Publish at: 2025-10-01

The educational accomplishments scale: development and validation in the context of education institutions

10.11591/ijere.v14i5.34224
Anil DCosta , Joseph Chacko Chennattuserry , Kennedy Andrew Thomas
Educational institutions play a significant role in fostering academic growth and personal development. However, there is a lack of standardized tools to assess the impact of educational accomplishments (EA), particularly integrating dimensions such as quality, value-based, integrated, and culture-enhanced education. This paper aims to create and validate a measurement tool that assesses how EA impacts students and institutions to foster academic growth, personal development, and institutional effectiveness, contributing to the overall quality of education. The data was collected from 120 participants, including religious heads, directors, principals, and coordinators of ten schools run by a specific religious congregation. The study implemented a three-stage systematic procedure in the development of the scale. Stage one consisted of item generation, literature review, and expert judgment. The second stage validated the scale and was followed by an item analysis, principal component with varimax rotation (exploratory factor analysis) using Kaiser normalization on IBM SPSS 26. The third step resulted in the final reliability and validity of the scale. A final 19-item educational accomplishments scale (EAS) is psychometrically reliable and of potential use to policymakers globally, comparing student and teacher perceptions, especially with religious congregational affiliations. This scale can particularly be used by each institution to evaluate the EA and can also be used by other researchers for further research.
Volume: 14
Issue: 5
Page: 3882-3890
Publish at: 2025-10-01

Route towards certification: a path analysis on licensure performance of new teacher education curriculum graduates

10.11591/ijere.v14i5.33552
Tedric Dave E. Senosa , Jr., Roberto G. Sagge
The board licensure examination for professional teachers (BLEPT) is a critical assessment for aspiring educators in the Philippines. Despite its vital importance, limited research has explored the comprehensive influence of the education graduates’ demographic background, psychological state, and achievement in the institutional parameters on the BLEPT performance. This study examined these influences on the licensure performance among 101 bachelor of secondary education (BSEd) mathematics and science graduates under the new teacher education curriculum. The researchers collected data using validated researcher-made questionnaires and educational metrics. Using structural equation modeling (SEM), results showed that the path model highlights the multifaceted nature of BLEPT performance, which shows that an intrinsic commitment towards the teaching profession and a supportive network create a cycle of positive experiences that fuels the graduates’ academic performance and self-efficacy, leading to a notable licensure performance. Likewise, the model emphasizes the vital effect of graduates’ education-related employment on their licensure examination performance. Taking these factors into account, teacher education institutions (TEIs) and key educational stakeholder should create targeted interventions, investigate unforeseen factors, and restructure curricula implementation to address the shortage of competent Filipino educators in these critical educational disciplines which are mathematics and science education.
Volume: 14
Issue: 5
Page: 3379-3389
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
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