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An optimized architecture for real-time fraud detection in big data systems, ecosystems, and environments

10.11591/ijeecs.v39.i2.pp1221-1235
Gaber Elsayed Abutaleb , Abdallah A. Alhabshy , Berihan R. Elemary , Ebeid Ali , Kamal Abdelraouf Eldahshan
The exponential growth of data in recent years has created significant challenges in fraud detection. Fraudulent activities are increasingly widespread across sectors, such as banking, web networks, health insurance, and telecommunications. This trend highlights a growing need for big data technologies such as Hadoop, Spark, Storm, and HBase to enable real-time detection and analysis of data fraud. This study aims to enhance understanding of the fraud classifications and their spread in various sectors. Fraud detection involves analyzing data and developing machine learning (ML) models or traditional rule-based systems to identify abnormal activities as they occur. The analysis in this paper examines both the advantages and limitations of these solutions, particularly regarding scalability and performance. This paper evaluates the methods and big data tools used in fraud detection and prevention through a comprehensive literature review, emphasizing the implementation challenges. This review discusses existing solutions, operational environments, and the ML algorithms and traditional rules employed. The main objective of this study is to address these challenges by proposing an innovative architecture that equips organizations with the latest knowledge and methodologies in big data technologies for real-time fraud detection and prevention.
Volume: 39
Issue: 2
Page: 1221-1235
Publish at: 2025-08-01

Effect of learning centered on emotional management on the appreciation towards mathematics in university students

10.11591/ijere.v14i4.31991
Wilmer Enrique Vidaurre García , Mirtha Yvis Santisteban Salazar , Nelson César Santisteban Salazar
Emotions are related to the motivation to learn, being necessary the development of courses designed to improve the appreciation for mathematics. The study determined the effect of a learning program focused on the management of emotions on the appreciation of mathematics in students of a private university in northeastern Peru. A quasi-experimental design study was planned in which 108 students of the first cycle of psychology, initial and elementary education careers who were taking the subject of logical thinking during the first academic semester of 2019 participated. Data were collected through a pre- and post-intervention survey, using a questionnaire consisting of 39 items evaluated by experts and with a Cronbach’s coefficient of 0.95 and were analyzed using descriptive statistics and paired samples t-test. The program consisted of 15 learning sessions that included pedagogical strategies to activate students’ thoughts of interest in mathematics. After the application of the program, the level of appreciation in each of the groups increased significantly from pretest to posttest (p<0.000). The intervention positively influenced students’ appreciation in mathematics. Thus, emotional management can be an effective strategy to improve attitudes in higher education, and this approach can be replicated in other educational levels and disciplines.
Volume: 14
Issue: 4
Page: 3116-3124
Publish at: 2025-08-01

A mixed-methods study on the impact of experiential financial education on Chinese students’ financial literacy and wellbeing

10.11591/ijere.v14i4.32906
Yani Zhou , Muhammad Hussin , Mohamad Zuber Abd Majid
This study examines the impact of experiential financial education on financial literacy and wellbeing among Chinese university students. In response to the growing demand for practical financial skills in China, where traditional financial education often focuses on theory, a mixed-methods approach with a sequential explanatory design was used. The quantitative phase employed a quasi-experimental method, involving an experimental group (EG) receiving experiential education and a control group (CG) following traditional methods, each with 60 students recruited through purposive sampling. Data on financial literacy and wellbeing were collected via pre- and post-intervention questionnaires. To gain deeper insights, qualitative interviews were conducted with nine students using voluntary sampling. The quantitative results showed that the EG significantly outperformed the CG in financial literacy (knowledge, behavior, and attitude) and financial wellbeing (security, resilience, control, and freedom of choice). Qualitative findings reinforced these results, revealing themes such as the practical application of financial knowledge, increased confidence, higher engagement, and the relevance of lessons to real-world financial challenges. Overall, the study underscores the importance of incorporating experiential learning into financial education to boost literacy and wellbeing, providing valuable insights for regions where practical financial education is still evolving.
Volume: 14
Issue: 4
Page: 2878-2890
Publish at: 2025-08-01

Enhancing database query interpretation: a comparative analysis of semantic parsing models

10.11591/ijict.v14i2.pp467-477
Gunjan Keswani , Manoj B. Chandak
The rapid proliferation of NoSQL databases in various domains necessitates effective parsing models for interpreting NoSQL queries, a fundamental aspect often overlooked in database management research. This paper addresses the critical need for a comprehensive understanding of existing semantic parsing models tailored for NoSQL query interpretation. We identify inherent issues in current models, such as limitations in precision, accuracy, and scalability, alongside challenges in deployment complexity and processing delays. This review is pivotal, shedding light on the intricacies and inefficiencies of existing systems, thereby guiding future advancements in NoSQL database querying. This methodical comparison of these models across key performance metrics-precision, accuracy, recall, delay, deployment complexity, and scalability-reveals significant disparities and areas for improvement. By evaluating these models against both individual and combined parameters, we identify the most effective methods currently available. The impact of this work is far-reaching, providing a foundational framework for developing more robust, efficient, and scalable parsing models. This, in turn, has the potential to revolutionize the way NoSQL databases are queried and managed, offering significant improvements in data retrieval and analysis. Through this paper, we aim to bridge the gap between theoretical model development and practical database management, paving the way for enhanced data processing capabilities in diverse NoSQL database applications.
Volume: 14
Issue: 2
Page: 467-477
Publish at: 2025-08-01

The transformative power of mentorship on novice teacher success: a recent systematic literature review (2022-2024)

10.11591/ijere.v14i4.33492
Beranda Yii Ping Jin , Mohd Muslim Md Zalli , Mohd Ridhuan Mohd Jamil , Nik Muhammad Hanis , Josephine Ambon
This study examines the transformative impact of mentorship in building resilience and enhancing success among novice teachers. By identifying effective mentorship strategies and frameworks, the research addresses critical early-career challenges, supports teacher retention, and contributes to the global aim of quality education. Using a systematic literature review (SLR) guided by preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, the study analyzed 45 articles from Scopus and ERIC databases, covering publications from 2022 to 2024. Through qualitative thematic analysis, three main themes emerged: emotional and psychological support in mentoring, mentoring models and professional development frameworks, and cultural and contextual influences on mentoring. Findings suggest that mentorship is pivotal in helping novice teachers navigate stress, improve instructional skills, and adapt to diverse school environments. Limitations include the restricted scope to select databases, potentially omitting other relevant studies. Future research could broaden the literature base and assess mentoring’s long-term impacts across varied educational contexts. This study contributes to the field by highlighting mentorship’s essential role in fostering resilience among novice teachers, aligning with sustainable development goal 4 (SDG 4) to promote teacher retention and educational quality.
Volume: 14
Issue: 4
Page: 2605-2616
Publish at: 2025-08-01

Technology of adaptive physical education for children aged 7-9 years with autism spectrum disorder

10.11591/ijere.v14i4.33185
Tulegen Botagariyev , Svetlana Кubiyeva , Nurolla Mambetov , Alpysbay Aralbayev , Amangazy Syzdykov , Saniya Konisbaeva
Analysis of the scientific and methodological literature indicates that the issue of scientific and methodological support for children with autism spectrum disorder (ASD) is insufficiently addressed, particularly for the age group of 7-9 years, which is the focus of this study. The aim of the research is to develop and empirically demonstrate a method for adaptive physical education for children with autism aged 7-9 years. The study involved 20 children attending a neurological rehabilitation center and a general education school. The methodology included the use of paired t-tests to compare indicators before and after the intervention. Key findings included significant improvements in physical indicators such as lung vital capacity (LVC), hand strength, and motor coordination. The practical significance of this research lies in the development of an effective adaptive physical education program that can be implemented in educational and rehabilitation institutions to support children with ASD. Future research prospects include increasing the sample size and conducting long-term observations to examine the sustainability of the obtained results.
Volume: 14
Issue: 4
Page: 2921-2930
Publish at: 2025-08-01

Creating inclusive UX: uncovering gender-bugs in higher education website through GenderMag’ing

10.11591/ijeecs.v39.i2.pp996-1004
Maria Isabel Milagroso Santos , Thelma Domingo Palaoag , Anazel Patricio Gamilla
Higher education websites serve as service-providing and information-disseminating platforms which may contain gender-related usability issues that affect how male and female users interact with digital platforms. This study applied the gender inclusiveness magnifier (GenderMag) method to identify and assess these gender-specific usability barriers. Researchers conducted cognitive walkthrough sessions using gendered personas, Abi (female) and Tim (male), uncovering key inclusivity bugs aligned to specific cognitive facets-motivation, information processing style, computer self-efficacy, risk aversion, and learning style. Insights from these walkthroughs guided the creation of a structured usability survey, administered to 200 respondents equally divided between males and females, comprising faculty and upper-year BS information technology students. Statistical analysis revealed significant gender differences specifically in information processing style (p=0.0003), emphasizing distinct preferences for content organization and navigation between genders. The integration of usability factors with GenderMag’s cognitive facets effectively pinpointed areas requiring inclusive design adjustments, guiding future efforts to enhance equitable digital interactions in educational environments.
Volume: 39
Issue: 2
Page: 996-1004
Publish at: 2025-08-01

Designing and implementing teachers’ professional development program on crafting brain-based lessons

10.11591/ijere.v14i4.32642
Vanjoreeh A. Madale , Jamaliah A. Casidar , Manuel B. Barquilla , Monera A. Salic-Hairulla , John Jr G. Adil , Arlyn R. Alcopra
The increasing emphasis on brain-based learning (BBL) underscores its potential to enhance educational practices by integrating the biological foundations of learning. This study, conducted at Mat-I National High School, sought to address the gap between theoretical understanding and practical application of BBL among science and mathematics educators. Using a descriptive research design, the study aimed to develop and implement a comprehensive training designed to elevate teachers' proficiency in BBL strategies, ultimately improving their instructional effectiveness in science and mathematics education. A pre-training needs assessment identified a superficial familiarity with BBL among teachers, underscoring the need for more targeted professional development. The training program incorporated lectures, workshops, interactive exercises, and the creation of lesson plans tailored to BBL principles. Post-training assessments demonstrated a marked improvement in participants' understanding and application of BBL, advancing from basic to proficient levels. These findings suggest that the program successfully enhanced teaching practices. The study concludes by recommending continuous professional development, the development of BBL-aligned teaching tools, and the adoption of varied training methodologies to sustain and further improve educational outcomes in mathematics and science education.
Volume: 14
Issue: 4
Page: 2790-2799
Publish at: 2025-08-01

Exploring women’s leadership success in inclusive leadership in Islamic higher education: integrating Big Five personality and Islamic values

10.11591/ijere.v14i4.33282
Muhammad Ghafar , Anis Hidayatul Imtihanah , Jamaluddin Shiddiq , Hestu Wilujeng , Noor Zinatul Hamidah
This study integrates the dimensions of the Big Five personality traits with an Islamic perspective (Shiddiq or truthfulness; Amanah or trustworthiness; Tabligh or conveying; and Fathonah or wisdom) to explore the success of women’s leadership. The main problem underlying this study is the lack of understanding of the influence of Islamic values on personality characteristics that support the success of women’s leadership in Islamic higher education (IHE) through an inclusive leadership approach. The relevance of this study lies in the importance of identifying personality factors and religious values that can improve the effectiveness of women’s leadership in Islamic educational environments. Quantitative research using a survey method with partial least squares-structural equation modelling (PLS-SEM) analysis on 111 respondents consisting of stakeholders in three IHEs in Indonesia using structured questionnaires as a data collection technique. The main findings indicate that Islamic values, such as Shiddiq and Amanah have a significant positive influence on personality characteristics such as conscientiousness (CON) and agreeableness (AGR), which have a direct impact on the success of women’s inclusive leadership. The conclusion of this study underscores the importance of leadership training programs that focus on the integration of Islamic values and personality characteristics to strengthen women's inclusive leadership skills.
Volume: 14
Issue: 4
Page: 3009-3017
Publish at: 2025-08-01

Emotional profile of learners in self-isolation period

10.11591/ijere.v14i4.33006
Zhanargul Kurmangaliyeva , Karakat Nagymzhanova , Serik Zhantikeyev , Almat Nuradinov
The purpose of the study was to identify the main factors affecting the emotional state of students in self-isolation. The study was carried out surveys of students of L.N. Gumilyov Eurasian National University. As a result of the study, it was found that the COVID-19 pandemic significantly affected students, causing them stress, anxiety and loneliness due to forced self-isolation and transition to distance learning. The study found that strong family relationships, friend support, and lecturer attention positively impacted students’ stress levels, loneliness, and emotional well-being. The conducted study also revealed that learning factors such as study load, ways of learning and degree of self-efficacy play an important role in students’ emotional well-being. A survey of students revealed that they used various methods of emotional self-regulation such as meditation, breathing exercises, sports and creative activities.
Volume: 14
Issue: 4
Page: 3193-3200
Publish at: 2025-08-01

IoT-enabled smart healthcare system with machine learning for real-time vital sign monitoring and anomaly detection

10.11591/ijeecs.v39.i2.pp1155-1163
Sanjay Deshmukh , Shrey Shah , Asim Wahedna , Nimish Sabnis
This paper presents an innovative IoT-enabled smart healthcare system that combines real-time vital sign monitoring with machine learning-based anomaly detection. The system utilizes a MAX30102 photoplethysmography sensor interfaced with an ESP-32 microcontroller to collect heart rate and blood oxygen saturation (SpO2) data. MQTT protocol ensures efficient data transmission to a cloud database. A long short-term memory (LSTM) neural network architecture is employed for time-series prediction of vital signs and anomaly detection. The system demonstrates high accuracy, with mean squared errors of 0.3% in offline testing and over 90% accuracy in real-time prediction. This affordable and scalable solution offers continuous monitoring capabilities, making it viable for widespread adoption in healthcare settings. The integration of IoT and machine learning techniques provides a robust framework for early detection of health anomalies, potentially improving patient care and outcomes in various medical scenarios.
Volume: 39
Issue: 2
Page: 1155-1163
Publish at: 2025-08-01

Students’ engagement in Philippine tertiary PE program: a path for enhancing experience and curriculum development

10.11591/ijere.v14i4.33027
Jr., Ruben L. Tagare , Lordinio A. Vergara , Jerome A. Porto , Maria Rosita A. Hernani , Novri Gazali
This study aims to assess student engagement across several dimensions of the PATH-Fit program and explore the interrelationships among these dimensions to inform curriculum development and enhance students’ experience. Using a quantitative research design, precisely a descriptive correlation approach, the study employed a modified research instrument to measure various aspects of student engagement, including Interest and Motivation, Perceived Benefits, Teaching and Learning Environment, Assessment and Feedback, and Overall Satisfaction. A sample of 633 college students from Southern Philippines was selected using simple random sampling to ensure representative and unbiased data. The results reveal that students exhibit moderate engagement in the PATH-Fit program. Analysis shows significant relationships among all engagement variables, indicating that improvements in one area, such as the teaching and learning environment, can positively influence others, like interest and motivation. The interrelationships highlight the interconnectedness of engagement dimensions, suggesting that a holistic approach is necessary for enhancing overall student involvement. In conclusion, while the PATH-Fit program succeeds in capturing students' interest to some extent, there is considerable potential for increasing engagement. By addressing multiple dimensions of engagement simultaneously, the program can better meet students' needs and improve their overall satisfaction and involvement.
Volume: 14
Issue: 4
Page: 3249-3259
Publish at: 2025-08-01

A framework for security risk assessment of blockchain-based applications

10.11591/ijeecs.v39.i2.pp952-962
Mohammad Qatawneh
Blockchain technology has revolutionized various industries by enabling decentralized, transparent, and tamper-resistant digital transactions. However, despite its benefits, blockchain-based applications are vulnerable to security threats such as smart contract exploits, 51% attacks, Sybil attacks, and private key compromises, posing significant risks to their integrity and reliability. Traditional security frameworks lack a comprehensive approach to systematically assess and mitigate these risks across different blockchain layers. To address this challenge, this paper proposes the blockchain cybersecurity risk assessment model (BCRAM), a structured framework designed to identify, analyze, evaluate, and mitigate security risks in blockchain systems. The methodology involves categorizing threats, assessing risks using quantitative and qualitative techniques, and validating the model through a case study on Ethereum. Results demonstrate that implementing BCRAM led to a 65% reduction in smart contract exploits, a 70% decrease in phishing incidents, and an 85% improvement in distributed denial of service (DDoS) resilience, proving its effectiveness. This research offers a standardized risk assessment approach, providing valuable insights for developers, security analysts to enhance blockchain security.
Volume: 39
Issue: 2
Page: 952-962
Publish at: 2025-08-01

Improving preschooler’s adaptation through game-based technologies

10.11591/ijere.v14i4.31955
Gulnur Kilybaуeva , Ulbossyn Kyyakbayeva , Raissa Izmagambetova , Gulmira Myshbayeva , Roza Bekmagambetova , Saniya Nurgaliyeva
Preschool years are critical for a child’s future learning and development. One of the most important challenges when a child enters kindergarten is adaptation. Negative experiences during this period might affect a child’s adaptation to school and may have long-term consequences. Leveraging game-based technologies can transform early education, making it more engaging, personalized, and effective, thus ensuring better preparedness for formal schooling. This study evaluates the effectiveness of game-based technologies in improving the social, emotional, and cognitive adaptation of young children to preschool settings in Kazakhstan. By employing a comprehensive mixed-methods approach, this research provides robust evidence of the efficiency of game-based technologies in supporting young children's adaptation to preschool environments in Kazakhstan. The study included two groups of children: an experimental group (EG) (n=70) and a control group (CG) (n=70). The positive outcomes suggest that incorporating game-based learning into early childhood education can considerably improve the overall preschool experience, and better prepare children for future academic challenges. The study’s findings provide valuable guidance for educators looking to improve early childhood education.
Volume: 14
Issue: 4
Page: 2902-2912
Publish at: 2025-08-01

Increasing learning innovation through developing teachers’ basic abilities in professional development supervision

10.11591/ijere.v14i4.28913
Rifma Rifma , Ranti Meizatri , Rudinal Rusdinal , Jasrial Jasrial
Learning innovation is always related to teacher abilities, emphasizing the design and implementation of innovative teaching and learning. This study aimed to assess the effects of professional development-supervised teacher basic abilities on learning innovation. A total of 409 teachers were engaged as participants. In this case, supervision experience was obtained with a teacher basic ability development approach (commitment and abstraction), as data were analyzed using the partial least square structural equation model (PLS-SEM). The results showed that teacher basic abilities significantly affected the success of professional development supervision and learning innovation. This indicated that the influential levels of the basic abilities on learning innovation and professional development supervision emphasized the t-statistics/p-values of 37.535≥1.96/0.000 and 39.492≥1.96/0.000, respectively. The effects of professional development supervision on learning innovation were also characterized by the t-statistics and p-value of 39.492≥1.96 and 0.000, respectively. Meanwhile, the teacher basic abilities significantly impacted the combined activities of professional development supervision and learning innovation through the t-statistic and p-value of 8.283≥1.96 and 0.000, respectively. These results recommended that principals and supervisors should consider teachers basic abilities as a target in the supervision of professional development, to realize sustainable learning innovations.
Volume: 14
Issue: 4
Page: 3089-3102
Publish at: 2025-08-01
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