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31,377 Article Results

Assessing cybersecurity awareness and security practices among university students in Jordan

10.11591/ijeecs.v42.i2.pp619-630
Khader Musbah Ismail Titi
This paper sets out to evaluate the degree to which Jordanian university students genuinely comprehend and apply cybersecurity principles in their everyday digital lives. The rationale for undertaking this investigation is compelling: as cyber threats continue to intensify and diversify, remarkably little granular evidence exists to identify which sub-populations within the Jordanian student body are most vulnerable due to knowledge gaps. A structured survey reaching 150 students recruited from a range of academic departments served as the empirical foundation, with all quantitative analyses conducted using SPSS and MS-Excel. The analysis examined three demographic dimensions: gender, academic discipline, and geographic origin (urban versus rural). Students enrolled in computing and information technology programmes consistently demonstrated superior preparedness relative to their peers, and urban-based students exhibited more robust awareness profiles than those from rural areas. Building on these findings, the paper makes a case for systematic awareness programmes and for embedding cybersecurity content into curricula across all disciplines rather than restricting it to technical fields.
Volume: 42
Issue: 2
Page: 619-630
Publish at: 2026-05-10

A structured process model to optimize detection capabilities in security operations centers (SOCs)

10.11591/ijeecs.v42.i2.pp518-530
Adi Nugroho , Charles Lim , Heru Purnomo Ipung
The security operations center (SOC) is essential for protecting organizational assets and maintaining operational continuity against rapidly changing cyber threats. Despite its significance, numerous SOCs establish detection capabilities lacking of a systematic framework, frequently culminating in inefficiencies and constrained efficacy. This paper presents a process model aimed at improving SOC detection capabilities by aligning them with business objectives, pertinent risks, and the evolving character of contemporary threats. The study includes an evaluation of current detection methodologies, utilizing the MITRE ATT&CK architecture and threat intelligence data to pinpoint relevant risks and detection deficiencies. A case study was performed at the XYZ Organization to evaluate current detection capabilities and implement the recommended process model. The model was validated through interviews with experts in the SOC field, verifying the findings' credibility. The findings demonstrate that the model efficiently helps SOC in synchronizing detection methods with organizational objectives, prioritizing pertinent threats, and promoting the enhancement of more targeted and adaptable detection capabilities. This research provides theoretical insights into SOC detection modeling and practical assistance for enterprises aiming to enhance their cybersecurity operations.
Volume: 42
Issue: 2
Page: 518-530
Publish at: 2026-05-10

Generative AI in teacher education: a systematic review

10.11591/ijere.v15i2.37225
Longfa Yuan , Rafiza Abdul Razak , Amirrudin Kamsin , Siti-Soraya Abdul-Rahman
This study addresses a critical gap in the literature by conducting one of the earliest systematic reviews (2021-2025) on generative artificial intelligence (GenAI) in teacher education. Using a structured screening and coding process, 35 peer-reviewed articles from Scopus and Web of Science (WoS) were analyzed to examine methodological trends, geographical disparities, and cross-cultural adaptability. The review identifies four major application areas, including stakeholder perception analysis, instructional resource generation, curriculum design, and student-AI collaborative learning, and synthesizes their underlying pedagogical mechanisms. Key findings reveal pronounced geographical imbalance (with no studies from Africa or Latin America), heavy reliance on short-term qualitative designs, and limited empirical or longitudinal validation. Based on these insights, the study proposes a conceptual framework linking GenAI applications, challenges, and future research pathways. This work contributes a structured evidence base and offers guidance for advancing GenAI-integrated teacher education through more rigorous, inclusive, and context-sensitive research.
Volume: 15
Issue: 2
Page: 966-975
Publish at: 2026-04-23

Exploring the sustainable teaching and learning in Nigerian schools with focus on emergency remote education

10.11591/ijere.v15i2.28489
Olatunbosun Emmanuel Ogunseemi , Oladele Dennis Omodara , Mercy Adesola Daramola
The global pandemic was a great challenge to delivering education in Nigerian schools. This undoubtedly came with a sudden shift to remote learning when teachers and students alike had to adapt to emergency remote education. Although, the prediction of international organizations on the effect of school closure during pandemic perhaps stimulated the emergent of remote teaching and learning (RTL) globally and particularly, in Nigeria. However, it was observed that the innovation and reformation has provided opportunities for transformation through borderless learning which is actually apt for situations like the COVID-19 pandemic. This article therefore, utilized naturalistic observation strategy to explore the impact of this shift on sustainable teaching and learning in schools in Ekiti State, Nigeria. It discusses the concept of emergency remote education as it relates to Nigerian education system. More importantly, it exposed the technology usage in classroom practices in Ekiti State, Nigeria vis a vis, the experiences of teachers and students in emergency remote education, highlighting the platforms employed, successes recorded and challenges encountered in the process. It was concluded that stake holders in Nigerian education system have been navigating unexplored territory to ensure continuous learning. Recommendations were made on how to improve the practice of remote education in Nigeria.
Volume: 15
Issue: 2
Page: 1642-1649
Publish at: 2026-04-23

Beyond numbers: a path analysis on how educational ecosystem and math interest spark excellence

10.11591/ijere.v15i2.37651
Charmaigne A. Eslabra , Roberto G. Sagge Jr. , Dolly Rose F. Temelo , Danilo M. Parreño , Tedric Dave E. Senosa , Peter Ernie D. Paris , Garry C. Cachuela , Sybel Joy F. Labis , Salvador P. Bacio Jr.
Mathematics achievement reflects a web of social, environmental, and motivational forces. This study examined how parental involvement, peer influence, and school support relate to mathematics interest and academic performance among Philippine Science High School (PSHS)–Western Visayas Campus scholars. Using a quantitative descriptive–correlational design, 251 students were selected through proportionate stratified random sampling. Data were collected through Google Forms using the 30-item mathematics interest inventory (MII) (4-point Likert; expert-validated; α=0.899), the 45-item educational ecosystem inventory (EEI) measuring family, peer, and school support (4-point Likert; expert-validated; α=0.910), and official mathematics grades as the achievement indicator. Descriptive statistics and correlation analyses were computed as prerequisites, then relationships were tested through path analysis in a structural equation modeling (SEM) framework, including estimation of direct, indirect, and mediated effects. Results indicated that parental involvement, peer influence, and school support significantly strengthened mathematics interest and were associated with higher mathematics achievement, with the final SEM demonstrating satisfactory model fit. Mathematics interest emerged as a significant mediator, particularly in the link between school support and performance, underscoring interest as a motivational conduit between context and outcomes. Recommendations include strengthening home–school partnerships, institutionalizing peer mentoring, and expanding interest-based pedagogies and opportunities, with continued program evaluation to sustain high performance in science, technology, engineering, and mathematics (STEM)-focused schools.
Volume: 15
Issue: 2
Page: 1037-1050
Publish at: 2026-04-23

The influence of training, subjective norms, and self-efficacy on entrepreneurial passion and intention of engineering students

10.11591/ijere.v15i2.36289
Trieu Khoa Nguyen , Ninh Gia Nguyen
Entrepreneurial passion and intention are critical drivers of innovation and economic development. However, empirical studies have primarily focused on business and social science students and have not yet extensively studied engineering students. This study examines how entrepreneurship training influences entrepreneurial passion and intention among engineering students, focusing on the mediating roles of subjective norms and entrepreneurial self-efficacy (ESE). Using a cross-sectional survey design, data were collected from 368 final-year engineering students at the Industrial University of Ho Chi Minh City, Vietnam, and analyzed with partial least-squares structural equation modeling (PLS-SEM). Importance–performance map analysis (IPMA) was also employed to identify the most influential predictors. Results reveal that entrepreneurship training enhances both subjective norms and ESE, which significantly fosters entrepreneurial passion, while entrepreneurial passion strongly predicts entrepreneurial intention. Mediation analyses confirmed that subjective norms and ESE partially mediate the effect of entrepreneurship training on entrepreneurial passion. Theoretically, the study extends social cognitive theory (SCT) by demonstrating how personal and contextual factors jointly shape entrepreneurial passion and intention. Practically, the findings highlight the need for entrepreneurship programs in engineering education to emphasize experiential learning, confidence building, and supportive social environments that strengthen entrepreneurial mindsets.
Volume: 15
Issue: 2
Page: 1051-1059
Publish at: 2026-04-23

Preservice primary school teachers’ intention to teach national identity education: evidence from Kazakhstan

10.11591/ijere.v15i2.38988
Nurbek Sabanbayev , Gulsum Ayapbergenova , Almash Turalbayeva , Arman Nurmakhanbetov , Serik Kastayev , Saniya Nurgaliyeva
Fostering national identity (NI) in primary school students is essential for promoting civic awareness and supporting sustainable national development. Early school years are particularly critical for shaping NI, which places additional demands on teachers and the primary education system. Pre-service primary school teachers (PPSTs) often face challenges in translating their intentions to teach national identity (INTNI) into classroom practice. This study investigated the factors influencing these teachers’ intentions and the mechanisms through which these intentions develop. Drawing on the theory of planned behavior (TPB) and social identity theory (SIT), data were collected from 254 pre-service teachers at a Kazakhstani university and analyzed using partial least squares structural equation modeling (PLS-SEM). Results revealed that institutional resources shape teachers’ intentions indirectly by enhancing attitudes toward teaching NI, teaching self-efficacy, and national identity awareness (NIA), while direct effects were not significant. Internalization of national values (INV) had a weaker but meaningful impact. The findings highlight the importance of teacher education programs emphasizing professional confidence, positive attitudes, and identity awareness to prepare teachers effectively for implementing NI education in primary schools.
Volume: 15
Issue: 2
Page: 1506-1515
Publish at: 2026-04-23

Enhancing reading skills among pre-service primary school teachers in Kazakhstan

10.11591/ijere.v15i2.38719
Lazzat Sapartayeva , Sharban Maigeldiyeva
Educators rely heavily on reading proficiency, but the reading habits of prospective teachers and their preparedness in teaching methods are frequently disregarded. In Kazakhstan, the preparedness of pre-service teachers to promote reading is still not fully understood despite the current educational reforms. This study fills the gap by offering Kazakhstan-focused knowledge on pre-service teachers’ reading habits and structural obstacles via a thorough mixed-methods approach. An explanatory sequential design was utilized. Data from 205 female pre-service primary school teachers at four universities in regions including Pavlodar, Karaganda, Shymkent, and Almaty were analyzed with the aid of descriptive statistics and analysis of variance (ANOVA). Data from 27 semi-structured interviews were evaluated through thematic analysis. The quantitative data showed a mix of opinions about leisure reading (mean (M)=3.09, standard deviation (SD)=1.44) and inadequate university preparation for teaching reading (M=3.05, SD=1.37). Participants reported digital reading fatigue with an average score of 3.07 and SD of 1.38, despite having frequent access to digital text. The qualitative data showed that time constraints (68%), academic overload (52%), and limited inclusion of practical applications in coursework were the primary obstacles. For Kazakhstani universities to develop effective future literacy role models, they must shift from purely theoretical instruction. Updating curricula with contemporary, culturally relevant texts and incorporating hands-on, peer-facilitated reading exercises is strongly advised to foster teacher confidence in instructional methods.
Volume: 15
Issue: 2
Page: 1728-1736
Publish at: 2026-04-23

An evaluation of student personality program in secondary schools: a systematic literature review

10.11591/ijere.v15i2.33651
Mohd Shaleh Mislan , Mohd Isa Hamzah , Khadijah Abdul Razak
The purpose of education is to uplift and develop human personality, morals, behavior, and character. Despite various initiatives and plans, the efforts to cultivate good values and character among students are increasingly challenging due to the negative influence of the local environment as well as the borderless social media. This issue called many researchers to conduct studies to evaluate the implementation of student personality programs in secondary schools, but systematic literature reviews (SLR) on this topic are still limited. Therefore, this study aims to conduct a SLR to evaluate past studies related to the assessment of student character programs. The SLR writing process was according to the preferred reporting items for systematic review and meta-analysis (PRISMA). Two main databases, namely Web of Science (WoS) and Scopus, were used to identify relevant articles and sources. Based on the thematic analysis, four main themes were found, which were behavioral, emotional, cognitive, and social. This study provides a comprehensive overview of the implementation of student character programs, which can serve as an important reference for educators to strengthen character development among secondary school students. These findings are expected to contribute to the development of more effective programs in addressing the challenges of nurturing character among the younger generation in the modern era.
Volume: 15
Issue: 2
Page: 989-1002
Publish at: 2026-04-23

Artificial intelligence in action: enhancing reading and writing proficiency in Chinese English learners

10.11591/ijere.v15i2.33508
Jingdan Liu , Hazrul Abdul Hamid , Xujie Bao
Artificial intelligence (AI) is increasingly adopted in Chinese English as a foreign language (EFL) classrooms, yet its learning benefits remain uncertain in an examination-oriented context where reading and writing proficiency are often constrained. This study employed a quantitative quasi-experimental design with pre- and post-tests, involving 67 non-English-major undergraduates assigned to a control group and an AI-integrated group, to examine AI-supported learning effects on reading and writing within a constructive alignment (CA) framework. Both groups improved after the intervention, while the AI-integrated group demonstrated a notably greater gain in reading performance. The findings suggest that CA can strengthen the effectiveness of AI integration by aligning learning outcomes, activities, and assessment, and that AI use, in turn, can reinforce alignment during the learning process. Pedagogical implications are discussed regarding performance disparity, the extension of CA-guided AI use to other EFL domains, and future instructional research.
Volume: 15
Issue: 2
Page: 1816-1824
Publish at: 2026-04-23

Assessment of scientific competencies in secondary school students: exploring the relationships among inquiry, explanations of the physical world, and the design of technological solutions

10.11591/ijere.v15i2.37351
Angel Edwin Oblitas Silva , Giuliana Orrillo Salazar
Assessing scientific competencies in secondary education requires understanding their structural relationships, yet limited research examines these interrelationships empirically. This study investigated how scientific inquiry, explanation of physical phenomena, and design of technological solutions interact in 165 Peruvian secondary students using partial least squares structural equation modeling (PLS-SEM). Results confirmed that inquiry significantly influences both explanation and design capabilities, while explanation mediates the relationship between inquiry and design. The model demonstrated excellent fit (standardized root mean square residual (SRMR)=0.068, normed fit index (NFI)=0.912)), explaining 67.3% of variance in explanation and 71.8% in design. Findings establish inquiry as the foundational competency for developing explanatory and problem-solving abilities, supporting integrated curriculum design and sequential pedagogical approaches that prioritize inquiry development.
Volume: 15
Issue: 2
Page: 1114-1128
Publish at: 2026-04-23

Policies and guidelines for non-formal education retention in the digital age

10.11591/ijere.v15i2.38371
Chuleerat Charoenporn , Montouch Maglumtong , Tanpat Kraiwanit
Centering on the Office of Non-Formal and Informal Education (ONIE) Center in Bangkok, this study examines the multifaceted drivers of student dropout within Thailand’s evolving non-formal education system. Employing binary logistic regression on data collected from 428 learners, the analysis integrates demographic, familial, and psychosocial variables to identify statistically significant predictors of disengagement. Key findings reveal that exposure to violence, gender, educational attainment, and sibling-related responsibilities exert substantial influence on dropout likelihood. Specifically, learners tasked with caregiving duties or who had siblings currently enrolled in school exhibited elevated dropout risks. In contrast, those with siblings engaged in employment showed a comparatively lower propensity to disengage from education, suggesting a protective economic and emotional buffer. Notably, over 70% of participants reported prior experiences of violence—a psychosocial factor that emerged as a salient predictor, underscoring the compounded vulnerabilities faced by marginalized learners in urban settings with limited support infrastructure. The final regression model demonstrated strong sensitivity in identifying high-risk individuals and moderate explanatory power (Nagelkerke R²=0.211). These results underscore the imperative for multi-level intervention strategies that address both academic and emotional constraints. By elucidating the intersecting structural and psychosocial dimensions of dropout behavior, this study offers actionable insights to inform targeted retention policies and enhance learner persistence in Thailand’s non-formal education landscape.
Volume: 15
Issue: 2
Page: 1836-1852
Publish at: 2026-04-23

University library indoor environment quality and student achievement: mediating role of learning engagement

10.11591/ijere.v15i2.35471
Lingbing Xie , Safial Aqbar Zakaria
This current study investigates how university library indoor environment quality (IEQ) influences academic achievement (AA) through learning engagement (LE), drawing on environmental psychology and learning space theory. Although IEQ has been widely studied in classroom contexts, little empirical evidence exists regarding its academic influence in university libraries, which represent critical yet understudied learning environments. Using survey data from 383 Chinese college students, the study demonstrates that IEQ positively predicts both LE and AA, and that engagement serves as a significant mediating mechanism. These findings highlight the academic value of improving acoustic comfort (AC), visual comfort (VC), thermal comfort (TC), and indoor air quality (IAQ) in library spaces, offering actionable guidance for educational planners seeking to enhance student performance through spatial design. The study contributes novel evidence to the literature on learning environments and suggests future research should incorporate multi-campus samples, broader achievement metrics, and contextual factors to deepen understanding of how environmental conditions shape student learning.
Volume: 15
Issue: 2
Page: 1598-1606
Publish at: 2026-04-23

Unlocking academic potential: framework for effective research utilization and commercialization in higher education institutions

10.11591/ijere.v15i2.36233
John Joshua Federis Montañez , Anna Liza Mendrique Mateo
Traditional academic research pathways in higher education institutions (HEIs) often emphasize publication and extension activities, while the utilization and commercialization of research outputs remain underdeveloped. This study aims to assess the institutional readiness, strategies, challenges, and success metrics related to research utilization and technology commercialization in state universities and colleges (SUCs), and to develop a framework to strengthen entrepreneurial and innovation-driven practices in HEIs. A mixed-methods approach was employed, combining case study analysis with a survey of nine SUCs in the Bicol Region, Philippines. The survey instrument was developed through key informant interviews (KIIs) and focus group discussions (FGDs) with experts in technology transfer and intellectual property (IP) management, and demonstrated excellent reliability (Cronbach’s α=0.92). Results indicate that all participating SUCs have dedicated offices for IP management and technology transfer, reflecting a high level of institutional readiness. However, major challenges persist, including limited funding, weak industry linkages, gaps in IP policy implementation, and the absence of sustainable revolving funds. Success in commercialization is primarily measured through patent filings, licensing agreements, and revenue generation, with limited use of qualitative impact indicators. The study concludes that while SUCs exhibit strong structural readiness, strengthening policy coherence, funding mechanisms, industry collaboration, and commercialization culture is essential. The proposed framework provides a practical guide for enhancing research utilization and commercialization in HEIs.
Volume: 15
Issue: 2
Page: 1091-1102
Publish at: 2026-04-23

A multi-group structural equation modelling analysis for the impact of digital art on critical thinking across language contexts

10.11591/ijere.v15i2.37759
Gulvira Togabayeva , Rabilova Zoya , Miyat Janayev , Gulnar Shaizadanova , Anarbek Kozybay
This study investigates the structural relationships among creativity (Crtvt), technological adaptability (TchAd), problem solving (PrblS), analytical thinking (Anlyt), and self-reflection (SlfRf) in the context of digital art education. A total of 249 students from three higher education institutions in Kazakhstan participated in the study. Using a 25-item Likert-scale instrument, data were collected from students instructed in either Kazakh or Russian. Structural equation modeling (SEM) with multi-group analysis was employed to test a theoretically grounded model of critical thinking development through digital art. The results revealed that Crtvt and TchAd significantly predicted students’ problem-solving abilities, which in turn emerged as the strongest predictor of both Anlyt and SlfRf. Crtvt also had moderate direct effects on these higher-order thinking outcomes, while TchAd showed a stronger influence on PrblS and SlfRf than on Anlyt. Multi-group analysis indicated that the measurement and structural models were invariant across language groups.
Volume: 15
Issue: 2
Page: 1676-1686
Publish at: 2026-04-23
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