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International Journal of Evaluation and Research in Education (IJERE)
Published by Institute of Advanced Engineering and Science
ISSN : 22528822     EISSN : 26205440     DOI : -
Core Subject : Education,
Education
The International Journal of Evaluation and Research in Education (IJERE) is an interdisciplinary publication of original research and writing on education which publishes papers to international audiences of educational researchers. The IJERE aims to provide a forum for scholarly understanding of the field of education and plays an important role in promoting the process that accumulated knowledge, values, and skills are transmitted from one generation to another; and to make methods and contents of evaluation and research in education available to teachers, administrators and research workers. The journal encompasses a variety of topics, including child development, curriculum, reading comprehension, philosophies of education and educational approaches, etc.
Arjuna Subject : -
Articles 2,199 Documents
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University library indoor environment quality and student achievement: mediating role of learning engagement Xie, Lingbing; Zakaria, Safial Aqbar
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.35471

Abstract

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.
Policies and guidelines for non-formal education retention in the digital age Charoenporn, Chuleerat; Maglumtong, Montouch; Kraiwanit, Tanpat
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.38371

Abstract

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.
Unlocking academic potential: framework for effective research utilization and commercialization in higher education institutions Montañez, John Joshua Federis; Mateo, Anna Liza Mendrique
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.36233

Abstract

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.
Blended learning factors influencing student engagement in higher education Thuy, Lai Thi Thu; Hoai, Nguyen Thu
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.38494

Abstract

This study examines the factors associated with student engagement (SE) in blended learning environments in higher education, with particular attention to the mediating role of perceived usefulness (PU). Drawing on the information systems success model and the technology acceptance model (TAM), an integrated research model incorporating system quality (SQ), content quality (CQ), teacher support (TS), interaction (IN), PU, and SE was proposed and empirically tested. Data were collected from 288 undergraduate students at universities in Vietnam and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that SQ, CQ, TS, and IN are significantly associated with PU. PU, in turn, shows a strong positive association with SE. While SQ and TS are also directly related to engagement, the relationships between CQ, IN, and SE are primarily indirect through PU, highlighting its central mediating role. These findings contribute to a more nuanced understanding of how blended learning factors jointly explain SE and offer theoretical and practical insights for the design and implementation of blended learning in higher education.
AI-based scaffolding and conceptual understanding: evidence from Indonesian students using PLS-SEM Nuryanis, Nuryanis; Nusantara, Toto; Murtadho, Nurul; Faizah, Siti
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.38450

Abstract

The rapid integration of artificial intelligence (AI) in higher education has increased interest in AI-based scaffolding (AIS) to support conceptual learning, particularly in teacher education. However, empirical evidence explaining how learners’ cognitive, self-regulatory, and technological characteristics jointly shape perceptions of AIS remains limited, especially in developing country contexts. This study examines the predictive relationships among conceptual understanding (CU), cognitive engagement (CE), self-regulated learning (SRL), perceived ease of use (PEOU), AI self-efficacy (AISE), and perceived scaffolding quality in explaining Indonesian undergraduate teacher education students’ perceptions of AIS. Using a quantitative explanatory–predictive design, data were collected from 157 students and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that SRL, PEOU, and AISE are the strongest predictors of perceived AIS, while CU, CE, and scaffolding quality also show significant positive associations. These findings highlight the importance of learner readiness and instructional design in AI-enhanced learning environments. Practically, teacher education programs should integrate AI scaffolding that explicitly supports self-regulation, builds students’ confidence in using AI tools, and promotes sustained CE in complex learning tasks.
Exploring teachers’ teaching skills: conceptual definition, documentation, and categorization Evangelou, Filippos; Giannopoulou, Konstantina
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.37742

Abstract

This study investigates the conceptual definition and categorization of teaching skills, aiming at their systematic identification and analysis within the context of the educational process. Through a systematic literature review conducted in accordance with the preferred reporting items for systematic review and meta-analysis (PRISMA) statement guidelines, a broad spectrum of 27 teaching skills is documented, each linked to key aspects of teaching practice, such as lesson planning, classroom management, and assessment. The diversity of theoretical approaches to the taxonomy of skills highlights the need for a coherent and functional categorization, which-based on their common characteristics-consists of eight general domains of skills, such as teaching design skills and teaching implementation skills. This categorization enables the implementation of more targeted and effective interventions for both the education of pre-service teachers and the professional development of in-service teachers. The present study, as an element of originality, offers one of the first systematic categorizations of teaching skills into eight coherent domains. The practical implications of the study lie in providing a structured framework for teacher self-assessment and the design of professional development programs based on targeted teaching skills. The findings underscore the need for further research into the nature, development, and practical implementation of teaching skills in classroom settings.
Exploring the impact of a conceptual model on students’ reflective skills development: a case study of Kazakhstan Mussina, Venera; Abildina, Saltanat; Berkimbayev, Kamalbek; Zhussupova, Zhanna; Almukhambetov, Berikzhan
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.37956

Abstract

The growing interest in reflection and the development of reflective skills (RS) among future teachers is linked to a shift in Kazakhstan’s educational paradigm. Reflective thinking is recognized as an effective means of analyzing everyday practice, introducing students to key aspects of their profession, and encouraging lifelong learning. However, a paradox exists in the professional training system: although students’ RS are considered professionally essential, insufficient attention is given to their systematic development. This study aimed to examine the impact of a conceptual model (CM) on fostering students’ RS. A quasi-experimental design was employed with 120 participants. The experimental group (EG) demonstrated significantly higher levels of RS compared to the control group (CG) (p<0.05). The dynamic changes in students’ RS observed during the learning process indicate the strong pedagogical potential of the proposed model. The findings show that teachers perceive the use of the CM as an effective tool for enhancing students’ RS. It was also found that the model increases students’ interest in the learning process and contributes to the development of RS. Overall, the study supports the effectiveness of using a CM to enhance RS, thereby contributing to the professional readiness of future primary school teachers.
Modular learning for preparing preschool teachers to develop algorithmic skills in early childhood Azimbayeva, Dariga; Kyyakbayeva, Ulbossyn; Shirinbayeva, Gulbakhira; Yerkebayeva, Saule; Kosshygulova, Aliya; Abilbakieva, Galiya; Atemkulova, Nazira
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.37826

Abstract

Modular learning (ML) provides flexibility in the educational process, supports individualized learning, and emphasizes the practical competencies of future educators. This study assessed the impact of ML on the effectiveness of training future educators to develop algorithmic skills (AS) in preschool children. The study employed a quantitative approach using an experimental design. A total of 320 students were selected from Abai Kazakh National Pedagogical University. The assignment procedure was randomized within each program to ensure a balanced distribution of participants across groups. Results indicated that the experimental group (EG) demonstrated significant improvements in professional competencies, confidence in applying AS, and practical skills. Differences between the experimental and control groups (CG) were statistically significant across all measures (p<0.001). The findings confirm that a ML approach, combining theory, practice, and reflection, effectively enhances the readiness of future preschool teachers to foster algorithmic thinking in children. These results highlight the efficacy of ML for improving teacher training programs and suggest its applicability in diverse educational contexts.
Exploring the mediating role of mathematics self-efficacy in students’ perceptions and achievement in mathematics de Vera, John V.; T. Aytona, Jehan Marie; U. Mamogay, Beverly; Bardinas, Rogard A.; N. Canaricio, Shella Mary; D. Peteros, Emerson
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.36015

Abstract

This study examined the mediating effect of mathematics self-efficacy (MSE) on the relationship between students’ perception of mathematics (SPM) and mathematics achievement (MA) among 544 Grade 9 students from selected public high schools in Mandaue City, Philippines, using a descriptive correlational research design. Participants were selected through simple random sampling. Data were collected using adopted survey questionnaires to measure SPM and MSE, while MA was obtained from first-quarter grades. The data collected were treated using frequency count, percentage, weighted mean (WM), standard deviation (SD), Pearson’s r, and multiple regression. Results indicated that students demonstrated neutral SPM, moderate MSE, and satisfactory MA. Moreover, there was a significant moderate positive relationship between SPM and MSE (r=0.627, p<0.001), while negligible positive correlations were observed between SPM and MA (r=0.216, p<0.001) and between MSE and MA (r=0.205, p<0.001). Furthermore, results also revealed that MSE partially mediated the relationship between SPM and MA, accounting for 33.4% of the total effect (indirect effect β=0.597, p=0.037). These findings suggest that teachers and school administrators should integrate self-efficacy building strategies including supportive feedback, engaging, and inclusive learning environments that enhance students’ perception and achievement in mathematics.
Apply the blended learning model in national defense and security education for university students in Viet Nam Phong, Nguyen Linh; Canh, Tran Tuan; Bao, Ngo Gia
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.37236

Abstract

Despite the growing global consensus supporting the efficacy of blended learning, research remains scarce regarding its optimal application within specialized, practical disciplines like national defense and security education (NDSE) in Viet Nam higher education. This study addresses this empirical gap by analyzing the implementation, challenges, and impact of the blended learning model in NDSE for university students in Viet Nam. The study employed a mixed-methods design, encompassing a comprehensive literature review, the development of a theoretical model, and a quantitative survey of 312 students from several universities. Data were rigorously analyzed using structural equation modeling (SEM) to test the relationships among implementation factors, engagement, and learning outcomes. The findings indicate that technological infrastructure and digital competence are crucial preconditions for blended learning application, which enhances students’ interaction, learning interest, and ultimately, positive learning outcomes. However, limitations were identified, including insufficiently uniform technological infrastructure and the need to mitigate the increased workload for lecturers. These results provide broader policy implications for curriculum design, requiring targeted investment in IT infrastructure and systematic development of faculty digital literacy to effectively support the digital transformation of specialized military and security education in Viet Nam.

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