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31,128 Article Results

Learning across ages: the role of intergenerational engagement in elderly education

10.11591/ijere.v15i4.40178
Rita Wong Mee Mee , Muhammad Fairuz Abd Rauf , Rasithra Ravichandran , Mohd Fahmi Mohamad Amran , Khairul Annuar Abdullah , Zuraidy Adnan , Muhammad Farhan Nordin
Intergenerational learning (IGL) has gained increasing attention as a strategy to address the limited effectiveness of elderly education, particularly in the context of digital literacy and lifelong learning. Despite growing research, the field remains fragmented, with limited synthesis translating evidence into actionable educational strategies. This study aims to systematically examine how IGL enhances elderly learning ability and to identify strategic directions for its implementation. A bibliometric-driven analytical approach was employed using Scopus-indexed publications from 2021 to 2025. The top ten most-cited articles were identified through performance analysis and subsequently analyzed using a strengths, weaknesses, opportunities, and threats (SWOT) framework. The findings reveal that IGL significantly improves digital literacy, cognitive engagement, and social well-being among elderly learners. However, challenges such as internalized ageism, low learning confidence, and the absence of structured and scalable frameworks remain critical barriers. The study also highlights opportunities for integrating IGL into formal education and community-based programs, while identifying threats related to technological change and policy limitations. This study contributes a bibliometric-informed strategic synthesis that advances understanding of IGL and provides actionable insights for educators, program designers, and policymakers in elderly education.
Volume: 15
Issue: 4
Page: 3086-3098
Publish at: 2026-08-01

Determinants of entrepreneurial intentions of private university students in Thailand

10.11591/ijere.v15i4.39455
Nithima Yuenyong , Tanpat Kraiwanit , Ekaphot Congkrarian
The growing interest in student entrepreneurship, research has yet to comprehensively examine both internal and external determinants of startup intentions among private university undergraduates in Thailand, a context shaped by rapid digital transformation and national innovation priorities. This study investigates the factors predicting entrepreneurial intentions among 400 undergraduate students at private universities in Pathum Thani, Thailand. Using a quantitative research design, data were collected via a validated structured questionnaire and analyzed through descriptive statistics and stepwise multiple regression. Five factors significantly predicted startup entrepreneurial intention: financial resources, entrepreneurial skills, prior experience, economic conditions, and technological factors, collectively explaining 60.3% of the variance. Financial resources and entrepreneurial skills emerged as the strongest predictors, while political-legal, socio-cultural, and environmental factors were not significant predictors. The study concludes that entrepreneurial intention is shaped by the interplay between individual competencies and contextual enablers. These findings call for universities to strengthen entrepreneurship education across all faculties and for policymakers to improve students' access to financial resources and startup support mechanisms.
Volume: 15
Issue: 4
Page: 3111-3123
Publish at: 2026-08-01

Enhancing students’ holistic reading through locally-enriched learning materials

10.11591/ijere.v15i4.39293
Husni Mubarok , Haryanto Haryanto , Harun Joko Prayitno , Anam Sutopo , Miftachul Huda
Learning materials that are suitable for the learning environment and resonate with students’ experiences play a crucial role in helping them learn English. A major obstacle in learning English is the scarcity of learning resources that incorporate local content, resulting in low holistic reading skills. This study aims to examine the effectiveness of locally-enriched learning materials on students’ holistic reading and to explore their responses. This study uses a mixed-method approach with a sample of 136 seventh-grade students in Indonesia. Data were gathered using tests, observation, and questionnaires, and analyzed using t-tests and descriptive statistics. The findings indicate that locally-enriched learning materials effectively enhance students’ holistic reading. This improvement is achieved by incorporating oral and written language skills, integrating local culture and daily activities into text discourse, and improving reading comprehension through vocabulary mastery, identifying main ideas, accuracy in grammar, and scanning. Learning enhancement was reflected in stages in English language teaching (ELT), the use of locally-enriched learning materials, material variations, teaching approach, participation and reading skill. Future research should concentrate on predicting text content and skimming in holistic reading. This study recommends the stakeholders to make policies in promoting local content as supporting learning materials in ELT.
Volume: 15
Issue: 4
Page: 3264-3278
Publish at: 2026-08-01

Procrastination trap: how personality traits fuel generative artificial intelligence over-reliance and erode academic performance

10.11591/ijere.v15i4.39382
Mohamad Rizal Abdul Hamid , Chen Jung Ku , Anath Rau Krishnan , Imran Mehboob Shaikh , Yoke Lian Lau , Mohd Zulkifli Muhammad , Saiful Bahri
This study investigates how long-term personality traits contribute to generative artificial intelligence (GenAI) use and whether these traits have an impact on academic procrastination and performance. The Big five personality model was used for this investigation, and a quantitative methodology was employed to analyze data from 200 undergraduate students in East Malaysia via partial least squares structural equation modeling (PLS-SEM). Findings indicated that while neuroticism and openness were associated with increased levels of GenAI use, conscientiousness was found to be a protective factor against GenAI dependency. In addition, results showed that when students excessively utilize GenAI, they experience increased levels of procrastination which leads to longer procrastination periods and decreased levels of deep learning engagement. Finally, procrastination was identified as a partial mediator between GenAI use and poor academic performance. Thus, GenAI dependency produces a ‘competence illusion’, causing a decline in students’ academic abilities over time. Ultimately, this study supports the need for interventions designed to help students learn self-regulation and develop critical AI literacy skills to enable technology to serve as a cognitive scaffold as opposed to a replacement for students’ own cognitive efforts.
Volume: 15
Issue: 4
Page: 3362-3374
Publish at: 2026-08-01

Effects of digital learning intervention on pre-service teachers’ innovation competence: evidence from Kazakhstan

10.11591/ijere.v15i4.39363
Zhazira Stambekova , Aziya Zhumabayeva , Zhanna Zhussupova , Saule Zhorayeva
Developing innovation competence (IC) is essential for pre-service teachers, as it enables them to effectively design, implement, and adapt instruction in increasingly complex and digitally enriched learning environments where technology integration, student-centered approaches, and pedagogical flexibility are critical. However, empirical evidence on how structured digital learning interventions (DLIs) foster multidimensional IC remains limited. This study examined the effect of a twelve-week structured DLI on IC in 156 third-year pre-service teachers using a quasi-experimental pretest–posttest design with a non-equivalent control group (CG). Participants completed the IC scale before and after the intervention. Results showed that the intervention significantly improved overall IC and all four dimensions: creative problem-solving (CPS), pedagogical adaptability, proactive initiative, and technology-enhanced instructional design, with the largest gains in CPS and technology-enhanced instructional design. Engagement with digital learning activities further predicted competence development, particularly in the intervention group. These findings suggest that integrating structured digital learning with intentional pedagogical design can effectively enhance innovation-oriented competencies. Teacher education programs can apply these insights to design interventions that prepare future educators for innovative, technology-rich classrooms.
Volume: 15
Issue: 4
Page: 3241-3252
Publish at: 2026-08-01

Improving students’ scientific argumentation through AI-supported feedback

10.11591/ijere.v15i4.38648
Joelash R. Honra , John Lorence A. Villamin
Scientific argumentation is a core practice in science education, yet many students struggle to construct arguments that effectively integrate claims, evidence, and reasoning. With the growing use of artificial intelligence (AI) in education, AI-supported feedback has emerged as a potential tool to scaffold students’ argumentation processes. This study examined the effects of AI-supported feedback on students’ scientific argumentation using a quasi-experimental, explanatory sequential mixed-methods design. Two intact groups participated: an experimental group receiving AI-supported formative feedback on written arguments and a control group receiving conventional teacher feedback. Quantitative data were collected using a validated rubric based on the claim–evidence–reasoning (CER) framework and Toulmin’s argument pattern (TAP), while qualitative data from student interviews and written responses provided contextual insights. Results showed that the experimental group achieved greater improvements in overall argumentation quality, particularly in evidence use and reasoning. Qualitative findings further indicated that AI feedback supported iterative revision and strengthened students’ understanding of evidence–claim relationships.
Volume: 15
Issue: 4
Page: 2741-2749
Publish at: 2026-08-01

Effect of PhET simulations and YouTube videos on polytechnic students’ conceptual understanding in fluid mechanics

10.11591/ijere.v15i4.37002
Jean D'Amour Iradukunda , Lakhan Lal Yadav
Fluid mechanics is an important branch of engineering and science with various technological and scientific applications. However, students often struggle to develop a solid conceptual understanding of related concepts due to their abstract nature, which involves invisible forces and complex scientific phenomena. This study investigated the effect of physics education technology (PhET) interactive simulations combined with educational YouTube videos on students’ conceptual understanding in ten areas of fluid mechanics. Using a quasi-experimental pre-test and post-test design, 168 construction technology students from two Rwanda Polytechnic (RP) colleges were assigned to the experimental group (n=81) and the control group (n=87). The experimental group got instruction using PhET interactive simulations and YouTube videos, while the control group was taught using traditional methods. A validated test assessed students’ conceptual understanding before and after the intervention. Descriptive and inferential statistics analyses of the study show that the students in the experimental group demonstrated far enhanced conceptual understanding in different areas of fluid mechanics than those in the control group. Results using different measures (normalized learning gains and effect sizes, using different approaches) show that the experimental group gained significantly greater improvement in their level of conceptual understanding compared to that of the control group. For example, Cohen’s d for the post-test scores for the two groups was found to be 1.85; ratios of Hake’s normalized learning gains and Cohen’s d for post- and pre-test for the experimental group to the control group were respectively 2.2669 and 2.1623. Based on these findings, the study provided actionable recommendations for educational policy and practice for polytechnic colleges.
Volume: 15
Issue: 4
Page: 3025-3037
Publish at: 2026-08-01

Developing a 2-DOF robotic arm kit for embodied AI learning in middle school technology education

10.11591/ijere.v15i4.39254
Dasol Kim , Sooin Kim
Artificial intelligence (AI) literacy is increasingly emphasized in technology education, yet many middle-school classroom activities remain screen-based and offer limited opportunities to experience the full AI pipeline in an authentic design context. To address this gap, this study developed a low-cost, classroom-ready 2-degree-of-freedom (2-DOF) robotic arm kit and an eight-lesson AI-integrated instructional unit in which students assembled the robot arm, collected and labeled image data, trained and improved a classification model, and applied model outputs to robot-arm control. A quasi-experimental pretest–posttest control-group design was employed with 98 ninth-grade students in four intact classes (experimental group, n=46; comparison group, n=52). Quantitative data were analyzed using ANCOVA with pretest scores as covariates, and qualitative data from student reflection reports were analyzed thematically. The experimental group significantly outperformed the comparison group on value of AI, efficacy of AI, AI literacy, and total scores. Qualitative findings further showed that students recognized both benefits and risks of AI and proposed multi-layered safety strategies involving physical safeguards, operational rules, and data/model management. These findings suggest that embedding the full AI pipeline in a tangible engineering-design task can support embodied, responsibility-oriented AI learning in middle school technology education.
Volume: 15
Issue: 4
Page: 3060-3074
Publish at: 2026-08-01

A model for enhancing teacher training by integrating internet of things, cloud computing, and robotics in a blended learning

10.11591/ijere.v15i4.39473
Meiramgul Mukhambetova , Salamat Idrissov , Nurgul Baitemirova
Despite educational digitalization, a divide persists in integrating robotics and the internet of things (IoT) into classroom practice. Both pre-service and in-service teachers struggle to translate theory into application due to the lack of unified methodological frameworks. This gap demonstrably undermines student academic performance. The present study introduces the teachers-oriented, learning content, methodological approaches, digital support, expected outcomes (T-LMDE) model to bridge this divide through the synergistic integration of key dimensions. The model integrates robotics and IoT with cloud computing, utilizing the Arduino IoT cloud for data analytics and remote control. Delivered via a blended-learning portal, the curriculum provides didactic materials and feedback mechanisms, enabling educators to master complex engineering solutions. The model’s efficacy was empirically validated with 31 participants across two modalities: a 15-week course for pre-service teachers and an 80-hour intensive program for in-service educators. Using a quasi-experimental, mixed-methods design, data were analyzed via paired t-tests and qualitative thematic scrutiny. Findings confirm the model’s positive impact on professional transformation and competency advancement, shifting educators from content consumers to “teachers-as-designers”.
Volume: 15
Issue: 4
Page: 3322-3333
Publish at: 2026-08-01

Digital ecopedagogy-based counseling for cyberbullying prevention among vocational high school students

10.11591/ijere.v15i4.39314
Nina Permata Sari , Hendro Yulius Suryo Putro , Muhammad Andri Setiawan
Cyberbullying has become a growing concern among adolescents in vocational high schools, particularly in Indonesian contexts where conventional counseling often struggles to address online aggression effectively. This study evaluated the effectiveness of digital ecopedagogy-based counseling (DEBC), a structured digital counseling intervention that combines interactive online modules, ecological reflection tasks, peer mentoring, and counselor-guided discussions, in preventing cyberbullying among vocational high school students in South Kalimantan, Indonesia. A quasi-experimental design involved 180 students and six school counselors from three vocational schools, with an eight-week intervention for the experimental group and conventional face-to-face counseling for the control group. Data were collected through pre-test and post-test cyberbullying behavior scales, supported by interviews, focus group discussions, and observations. The experimental group showed significantly greater reductions in cyberbullying behavior (N-Gain=0.45–0.67, p
Volume: 15
Issue: 4
Page: 3497-3507
Publish at: 2026-08-01

A study on exploring the effects of the school climate and teacher’s accountability on academic performance of students in early childhood care and education

10.11591/ijere.v15i4.36631
Kalpana Nagar , G. S. Prakasha
This study investigates parental perceptions of school climate, teachers’ accountability, and students’ academic performance, as well as the relationship among these three factors. The descriptive research uses the demographic background of parents as a stratified sampling method to collect primary data. The statistical procedure shows that Pearson’s product-moment correlations between school climate and teachers’ accountability affect the academic achievement, with effect sizes of r=0.632, r=.646, which significantly correlate with each other. Regression analysis reveals the variability of the effect sizes of school climate and teachers’ accountability on academic achievement, with the values of β=0.070 and β=0.115. The independent variable, school climate and teachers’ accountability, explains 45.4% of the variability of academic performance of the students in early childhood care and education. The present study recommends that training teachers would link their accountability and measures to track the supportive climate of school to improve the student’s academic performance. Future research should conduct longitudinal studies to examine how relationships between school climates and teachers’ accountability affect different student populations and their academic performance.
Volume: 15
Issue: 4
Page: 2883-2890
Publish at: 2026-08-01

Competency-based evaluation of scientific-pedagogical master’s programs

10.11591/ijere.v15i4.37191
Nurzada Kozhamberdiyeva , Aliya Kudaibergenova , Bakytgul Imanbekova , Sarash Konyrbayeva , Zhanar Bekturganova , Yücel Gelişli
The goal of this study is to conduct a comprehensive evaluation of the master’s degree programs at the Faculty of Philosophy and Political Science of Al-Farabi Kazakh National University from the perspective of the competency-based approach. The study involves a targeted sample of 120 participants directly involved in the implementation and evaluation of scientific and pedagogical master’s programs: 70 master’s students, 20 teachers, 20 graduates, and 10 employers. The study employs a mixed-method approach, including surveys of master’s degree students, faculty members, graduates, and employers, as well as qualitative analysis of interviews with participants. Course relevance received the highest rating. Faculty members positively evaluate the alignment of the programs with the competency-based approach. Graduates emphasize the applicability of their knowledge, while employers express satisfaction with the graduates’ level of preparation. Kruskal–Wallis test analysis does not reveal statistically significant differences between groups for most indicators, confirming a consistent perception of educational quality. The interviews reveal a generally positive attitude toward the programs but highlighted several shortcomings, such as uneven competency development, insufficient practical focus, and limited engagement with the professional environment. The novelty of the work lies in the comprehensive empirical evaluation of master’s programs based on a competency-based approach from the perspectives of students, teachers, graduates, and employers. The practical significance of the findings lies in justifying the need for stronger integration of theory and practice, greater transparency in competency assessment, and expanded collaboration with employers to enhance the quality of master’s degree training.
Volume: 15
Issue: 4
Page: 3375-3391
Publish at: 2026-08-01

Psychosocial factors of cyberbullying experienced by Malaysian public university undergraduates

10.11591/ijere.v15i4.39582
Siti Nurfathin Idris , Mastura Mahfar , Faizah Mohd Fakhruddin , Azlina Mohd Kosnin , Aslan Amat Senin , Halimah Mohd Yusof , Nur Azmina Paslan
Cyberbullying has emerged as a critical issue among university students in Malaysia, driven by the widespread use of digital technologies and associated with serious psychological consequences. Despite its increasing prevalence, limited research has explored how psychosocial factors shape cyberbullying victimization within the Malaysian higher education context. This study addresses this gap by exploring the psychosocial factors influencing cyberbullying victimization among university students in Malaysia. A qualitative case study approach was employed, involving five university students who had experienced cyberbullying. Data was collected through semi-structured, in-depth interviews and analyzed using thematic analysis. The findings suggest that cyberbullying victimization is influenced by an interplay of psychological and social factors. Psychological factors include passive behavior, low self-esteem, irrational beliefs and personality traits, while social factors encompass peer relationships, parenting styles, social media engagement, and online gaming environments. This study suggests that cyberbullying is a multifaceted phenomenon shaped by both individual vulnerabilities and environmental influences. These findings highlight the need for comprehensive, psychosocial-based interventions to support students’ wellbeing and promote safer digital environments in higher education institutions.
Volume: 15
Issue: 4
Page: 2795-2805
Publish at: 2026-08-01

The quality of advocacy services in primary school social work from the perspective of Vietnamese teachers

10.11591/ijere.v15i4.38789
Ha Van Hoang , Pham Thi Kieu Duyen
This study aimed to assess the level of satisfaction among primary school teachers with advocacy services in school social work and to identify influencing factors. A quantitative method was applied through a questionnaire survey of 398 primary school teachers, focusing on evaluating aspects of advocacy services such as reliability, responsiveness, professional competence, empathy, and implementation conditions. The results showed that the overall satisfaction level of teachers was quite high (M=4.01, SD=0.27), and all components of the service were viewed positively. Simultaneously, factors such as gender, age, location, and region influenced how teachers evaluated the quality of the service, while years of service and educational level had only a limited impact. On the other hand, all service components showed a positive correlation with the level of satisfaction with advocacy services in school social work. In this study, responsiveness, reliability, empathy, and implementation conditions showed statistically significant results. Therefore, the study suggests policy directions and further research, particularly in applying the service quality (SERVQUAL) model to measure and improve aspects of social work services.
Volume: 15
Issue: 4
Page: 3508-3517
Publish at: 2026-08-01

Assessing English writing needs for civil engineering students: evidence from a Philippine college

10.11591/ijere.v15i4.38708
Sittie Aina T. Pandapatan , Abdullah H. Edris , Johara D. Alangca-Azis , Stephen A. Fadare , Al-nor D. Ansao , Basmah S. Hussain
This study examined the perceived English writing needs of civil engineering students at a private higher education institution in the Philippines. Using a quantitative, descriptive, cross-sectional survey design, data were collected from 216 second- to fourth-year students through purposive sampling and a validated 15-item writing needs questionnaire. The instrument demonstrated strong internal consistency, and the data were analyzed using descriptive statistics. The findings showed that students reported substantial needs in both foundational writing skills and field-related written outputs. The most strongly perceived needs were related to grammar, sentence clarity, idea development, and the writing of engineering reports, executive summaries, formal letters, and memoranda. These results suggest that general English instruction alone may be insufficient to address the disciplinary communication demands of civil engineering. The study highlights the need to integrate discipline-specific writing support into the curriculum to strengthen students’ academic writing, professional communication, and workplace readiness.
Volume: 15
Issue: 4
Page: 3604-3612
Publish at: 2026-08-01
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