Articles

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

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,377 Article Results

Gamified digital exercises to enhance reading literacy in Kazakhstani primary schools

10.11591/ijere.v15i2.39054
Akkalam Zhekeyeva , Aziya Zhumabayeva , Aktoty Akzholova , Gulbanu Saduakas , Magripa Ibrayeva , Dinara Sambet
Recent national and international large-scale assessment results indicate persistent difficulties in higher-order reading comprehension among Kazakhstani primary school students. Although reading literacy (RL) is a strong predictor of academic success, existing instructional practices do not consistently support the development of advanced comprehension skills, and empirical evidence on technology-supported reading instruction in the Kazakh-language context remains limited. This study evaluated a technology-enhanced instructional framework integrating curriculum-aligned gamified digital exercises (GDE) into Grade 4 Kazakh language lessons. A quasi-experimental pre-test/post-test control group (CG) design was employed with 100 fourth-grade students. The experimental group (EG) participated in a six-week intervention implemented under typical classroom information and communication technologies (ICT) constraints, while the CG received traditional instruction. The results demonstrated significantly greater improvements in overall RL in the EG, with large effect sizes, particularly in higher-order comprehension tasks involving inference and information integration. A strong positive correlation was found between gains in RL and reading motivation. These findings suggest that curriculum-aligned gamified digital activities can effectively enhance both cognitive and motivational dimensions of reading development in resource-constrained primary education settings.
Volume: 15
Issue: 2
Page: 1529-1538
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

Justification for a self-regulated learning training program for higher education students in massive open online courses

10.11591/ijere.v15i2.30648
Cao-Tuong Dinh , Hoang-Yen Phuong
Self-regulated learning (SRL) has been well documented in the literature for its benefits for students’ learning success. However, there is still a dearth of imperial intervention that helps promote students’ self-regulation, and a theoretical justification for such a program is essential. To date, literature has shown three prominent theories: social cognitive, social-cultural, and cognitive constructivist. The goal is to explore the conceptualization of SRL, which, despite it is long history, lacks a universally accepted definition. We analyze these theories and their models to determine which best supports the design of a SRL strategy intervention for university students in massive open online course (MOOC) environments. Based on this analysis, we propose a working definition of SRL that fits the unique demands of MOOCs. The results suggest that the social-cognitive theory offers the most suitable framework, as it integrates cognitive, metacognitive, motivational, and social aspects of learning. Additionally, it provides a practical model of strategies that can be implemented in MOOC-based learning environments.
Volume: 15
Issue: 2
Page: 1607-1617
Publish at: 2026-04-23

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

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

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

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

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

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

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

Assessment culture in highly effective schools in the Autonomous Community of the Basque Country

10.11591/ijere.v15i2.27766
Izaskun Lopetegi-Mendizabal , Verónica Azpillaga-Larrea , Luis Lizasoain Hernández
The aim of the present study is to analyze the relationship between assessment culture and school effectiveness in schools identified as being highly effective in the Autonomous Community of the Basque Country (ACBC). In the first (quantitative) phase, 32 highly effective schools were selected using multilevel regression statistical procedures with hierarchical linear models. In the second (qualitative) phase, 90 semi-structured interviews were conducted with members of the management teams, inspectors and key consultants at the selected schools, focusing on a set of previously-established categories. In this paper, we analyze the categories linked to assessment. The results of the analysis suggest that highly effective schools use different formative assessment approaches to improve teaching and learning: data-driven decision making (DDDM), data-based decision making (DBDM), and assessment for learning (AfL). These approaches are developed differently in the two educational stages studied. A proposal is therefore made for helping them to move forward in this sense.
Volume: 15
Issue: 2
Page: 1650-1665
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

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

Adoption of artificial intelligence tools for academic writing

10.11591/ijere.v15i2.37993
Nguyen Thu Hoai , Lai Thi Thu Thuy
The rapid advancement of artificial intelligence (AI) presents both significant opportunities and challenges for academic writing. This study investigates the factors influencing the adoption of AI writing tools among lecturers in Vietnam by proposing an integrated theoretical framework that combines the unified theory of acceptance and use of technology (UTAUT) with perceived risk theory (PRT). The model incorporates performance risk (PR) and ethical risk (ER) as key inhibitors alongside the core UTAUT constructs. Data were collected through a cross-sectional survey of 404 lecturers from public universities across North, Central, and South Vietnam, including both public and private educational institutions, and analyzed using structural equation modeling (SEM). The results show that the proposed model has strong explanatory power, accounting for 77.9% of the variance in behavioral intention (BI) and 75.3% in use behavior (UB). All seven hypotheses were supported. Performance expectancy (PE) was the most potent predictor of intention, while PR was the strongest deterrent. Facilitating conditions (FC) and BI were found to be critical antecedents of actual use. The study contributes by empirically validating an integrated UTAUT–PRT framework in the context of AI writing tool adoption. The findings suggest that universities should prioritize performance-enhancing support mechanisms and risk-mitigation policies to promote responsible AI adoption.
Volume: 15
Issue: 2
Page: 1737-1748
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
1 2 3
...
2091 2092
Show 96 of 2092

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration