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31,042 Article Results

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

Blended-language instructional-approach as a determinant of science learning in rural classrooms

10.11591/ijere.v15i4.39263
Atomatofa Rachel Ovuezirie , Sekegor Crescentia Ojenikoh , Avbenagha Andrew , Ewesor Stella
Scientific concepts such as gravity continue to pose challenges for students in rural and under-resourced classrooms, where reliance on a single language of instruction often restricts access to meaning and limits conceptual understanding. This study investigated the impact of a blended English and Urhobo (BEAU) instructional approach on junior secondary one students’ learning and retention of gravity concepts in rural Nigeria. A quasi-experimental pre-test–post-test non-equivalent control group design was employed with 243 students assigned to English-only, Urhobo-only, or BEAU instructional conditions. A validated 30-item multiple-choice gravity test was administered, and analysis of covariance (ANCOVA) was used to examine differences while controlling for pre-test scores. The findings show that students taught using the BEAU language approach achieved better significantly in both post-test and retention tests compared to those taught using English-only or Urhobo-only instructional approaches. The findings provide empirical evidence that the blended language instructional approach enhances science learning outcomes in rural Nigerian contexts. Linguistically responsive instructional approach improves conceptual understanding and supports long-term retention of abstract scientific ideas, underscoring the importance of leveraging students’ linguistic resources to strengthen science education in rural and under-resourced classrooms.
Volume: 15
Issue: 4
Page: 3636-3645
Publish at: 2026-08-01

Evaluating the methodological admissibility of generative AI tools for linear regression in graduate-level research

10.11591/ijere.v15i4.38496
Valery Okulich-Kazarin , Kanat Kozhakhmet
With the growing use of generative artificial intelligence (AI) in academia, a key methodological question concerns the statistical correctness of AI-assisted quantitative analysis. This study empirically evaluates the use of generative AI tools for linear regression in graduate-level research. The authors used a methodological approach in which estimates from four AI systems (ChatGPT 4.0, DeepSeek v3.2, Gemini 3 Pro, and Grok 4.1) were compared with estimates obtained using Microsoft Excel (Windows 10). The analysis was performed on five time series using a fixed prompt structure. Comparability was assessed using thresholds for regression coefficients, the coefficient of determination (R²), and predicted results for 2030. The results show that under controlled conditions and within the ordinary least squares (OLS) method, the AI tools generate statistical results with varying degrees of accuracy. However, deviations in coefficients and predictions highlight the need for systematic validation. The study concludes that AI tools can serve as auxiliary methodological support, provided transparency, reproducibility, and threshold-based verification are ensured in graduate research practice.
Volume: 15
Issue: 4
Page: 2874-2882
Publish at: 2026-08-01

Artificial intelligence technologies in teaching Russian as a foreign language

10.11591/ijere.v15i4.38077
Larissa Krymova , Navruz Khasanov , Zhamiila Arstanbekova , Ariya Azamatova , Nuraisha Bekeyeva
The present study aims to investigate the impact of integrating artificial intelligence (AI) technologies into teaching Russian as a foreign language (RFL) from the perspective of educators. Employing a mixed-methods research design, the study utilized several methodologies, including a teacher survey, an analytical-descriptive approach to data interpretation, and the development and evaluation of AI-based interventions. The study sample comprised 120 RFL instructors from three public universities in Kazakhstan. Preliminary findings revealed a considerable awareness among teachers regarding various AI technologies, such as chatbots, voice assistants, the ChatGPT neural network, educational platforms, gaming applications, and task design tools. Nonetheless, the practical utilization of these technologies varied significantly, with only a subset of teachers incorporating them into their regular teaching practices. The study culminated in the development of a conceptual framework for AI-driven educational interventions, incorporating platforms such as Coursera, Moodle, Open EdX, and eFront; game-based applications including Duolingo, Talk2Russia, and Russian Verbs Pro; and task creation tools such as Kahoot! and Quizlet. Following the integration of these interventions into the curriculum, post-implementation evaluations indicated that teachers generally perceived the tools as effective, with the average effectiveness rating surpassing 4.0 out of 5.0 across all assessed categories. The findings of this study have practical applicability; they can be used to enhance professional development programs for teachers of the Russian language and to formulate strategies for the integration of AI technologies into language education within the Central Asian region.
Volume: 15
Issue: 4
Page: 3422-3438
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

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

Beyond narrative: a pedagogical, cultural, and psychological analysis of Saken Zhunusov’s Amanai and Zamanai for higher education

10.11591/ijere.v15i4.38486
Tokzhan Igenbay , Gauhar Baltabaeva , Amangaisha Bolsynbayeva , Gulnara Apeyeva , Sarash Konyrbayeva
This study offers a comprehensive pedagogical analysis of Saken Zhunusov’s Amanai and Zamanai, demonstrating that the novella functions as a multilayered educational text suitable for literature, cultural studies, teacher education, and psychology-of-literature curricula in higher education. Using qualitative content analysis, the study identifies six interrelated thematic domains; moral education, cultural learning, developmental psychology, folklore pedagogy, narrative methodology, and emotional literacy, through which the novel teaches readers to interpret emotional, ethical, and cultural meanings embedded in the narrative. The data consisted of the full text of Saken Zhunusov’s Amanai and Zamanai, analyzed using qualitative content analysis. Findings reveal that the text models moral dilemmas, cultivates empathy, preserves Kazakh cultural knowledge, exposes structural inequalities, and illustrates childhood cognition and trauma through symbolic and myth-infused storytelling. The study connects these themes to established theoretical perspectives including Vygotsky’s symbolic mediation, Bruner’s narrative cognition, Rosenblatt’s reader–response theory, and cultural-historical views of oral tradition. By developing a detailed codebook and pedagogical framework, the research provides a replicable model for analyzing culturally embedded literature and demonstrates the relevance of Amanai and Zamanai to contemporary Kazakh social issues such as poverty, gendered burden, and generational trauma. The study concludes that the novel offers rich opportunities for interdisciplinary teaching and contributes significantly to the integration of Kazakh literature into modern higher education pedagogy.
Volume: 15
Issue: 4
Page: 3591-3603
Publish at: 2026-08-01

Online collective efficacy and its relationship with organizational sustainable development in higher education

10.11591/ijere.v15i4.38721
Ashraf Ragab Ibrahim , Ibrahim Mohammed Ibrahim , Billal Mohamed Aboelhasayb , Mohammed Maher Mohammed , Ahmed Metwally Eissa , Mohamed Ali Nemt-allah
Digital transformation in higher education has intensified reliance on online collaboration, yet the role of shared digital capability beliefs in driving institutional sustainability remains underexplored. This study examined the relationship between online collective efficacy (OCE) and organizational sustainable development (OSD) among faculty members in Egyptian higher education. Using a quantitative correlational design, a purposive sample of 647 faculty members and teaching assistants from Al-Azhar University completed two validated instruments: the OCE scale and the OSD questionnaire. Pearson correlation and multiple regression analyses revealed exceptionally strong positive associations between all OCE dimensions and OSD outcomes (r=.887, p
Volume: 15
Issue: 4
Page: 2775-2785
Publish at: 2026-08-01

Motivational and normative drivers of generative AI substitution in academic work: a mixed-methods study from Saudi higher education

10.11591/ijere.v15i4.38745
Mazin Mansory , Zilal Meccawy
The rapid integration of generative artificial intelligence (GenAI) in higher education has intensified tensions between legitimate learning support and unauthorized task substitution, particularly where institutional guidance remains ambiguous. This mixed-methods study investigates how attitudes toward AI, moral rationalization strategies, and perceived institutional clarity interact to shape AI-based substitution behavior among 249 undergraduates at a Saudi university. Partial least squares structural equation modeling (PLS-SEM) revealed that positive attitudes and rationalization together explained 46% of the variance in substitution behavior, with perceived clarity of institutional guidance significantly moderating the rationalization–substitution link. Complementary interviews with seven students and ten instructors revealed that linguistic burden, peer norms, and fragmented faculty guidance facilitated boundary crossing from scaffolding to shortcutting. By exploring the relationship between moral neutralization and environmental clarity, this research offers a new approach to evaluating the effectiveness of institutional AI guidance beyond common technology acceptance models. The findings can be used to inform the design of multi-tiered, inclusive AI usage policies, assessments that value process over product, and culturally responsive academic integrity education within a multilingual higher education context.
Volume: 15
Issue: 4
Page: 2946-2958
Publish at: 2026-08-01

Mapping influential CLIL research in English language teaching: a bibliometric SWOT analysis

10.11591/ijere.v15i4.38986
Lim Seong Pek , Fatin Syamilah Che Yob , Azie Azlina Azmi , Desmond Sandum , Gilbert C. Magulod Jr. , Choiril Anwar
Content and language integrated learning (CLIL) has gained increasing attention in English language teaching (ELT); however, existing reviews often describe trends without critically examining both research impact and developmental challenges. This study addresses this gap by investigating the question: what directions and challenges characterize influential CLIL research in ELT? An integrative approach combining document-level bibliometric performance analysis and strengths, weaknesses, opportunities and threats (SWOT) analysis was employed. Using the Scopus database, the ten most-cited CLIL-related studies published between 2021 and 2025 were identified and systematically analyzed. The findings indicate that influential CLIL scholarship centers on pedagogical scaffolding, teacher cognition, learner motivation, and technology-enhanced learning environments. At the same time, recurring challenges include role ambiguity between content and language teachers, policy-practice misalignment in English-medium instruction (EMI) contexts, and limited longitudinal evidence of language outcomes. The study concludes that while CLIL research is increasingly shaped by digital innovation, sustainable implementation depends on pedagogical clarity, teacher preparation, and institutional alignment. By integrating bibliometric evidence with critical qualitative synthesis, this study provides theoretical and practical insights to guide future research, teacher education, and policy development aligned with sustainable development goal 4 (quality education).
Volume: 15
Issue: 4
Page: 3015-3024
Publish at: 2026-08-01

Development of emotional empathy in future educators during the process of professional formation

10.11591/ijere.v15i4.38074
Maksat Aitzhanov , Ulzharkyn Abdigapbarova , Symbat Bekmuratova , Raissa Izmagambetova , Nazgul Kozhamkulova , Nadezhda Zhiyenbayeva
The aim of this study is to analyze the structural components of empathy among students majoring in pedagogical disciplines and to evaluate the effectiveness of an educational program designed to foster empathy during their professional training. The study involved 120 undergraduate students from two Kazakhstani universities enrolled in creative fields. An experimental approach was adopted in the research. To assess empathy levels, validated questionnaires and psychodiagnostics scales were used. The results of statistical analysis indicated that empathy levels did not significantly change following the completion of the empathy enhancement program. The mean scores across all measurement tools shifted only marginally, and the t-statistics and p-values (p>0.05) pointed to a lack of statistically significant differences. Additionally, analysis of variance (ANOVA) did not reveal any significant differences in the cognitive (F=0.42, p=0.53), emotional (F=0.38, p=0.54), or behavioral (F=0.31, p=0.58) dimensions of empathy. These findings may be attributed to senior students already possessing a relatively high level of empathy, making further development within a short-term program more challenging. The practical significance of the study lies in its in-depth analysis of students’ empathy levels.
Volume: 15
Issue: 4
Page: 3529-3541
Publish at: 2026-08-01

Moral disengagement, character strengths, and maladaptive behavior among university students: a structural equation modeling approach

10.11591/ijere.v15i4.38470
Akhmad Syahri , Nimatul Dinawisda , Sri Afsinatun
The increasing integration of digital technology in higher education has raised concerns about students’ maladaptive behaviors (MB), including academic dishonesty and cyber aggression. This study aims to examine the structural relationships among moral disengagement (MD), character strengths (CS), and MB, as well as the mediating role of CS in digitally mediated learning environments. A cross-sectional quantitative design was employed using data collected from 500 undergraduate students at a State Islamic University in Indonesia through purposive sampling. Data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that MD significantly predicts MB (β=0.830, p
Volume: 15
Issue: 4
Page: 3049-3059
Publish at: 2026-08-01

The textual dimension of didactics: formation of future teachers’ philological competence

10.11591/ijere.v15i4.38346
Moldir E. Toiganbekova , Gulmira A. Kazhigaliyeva , Ainur A. Bizhanova
This study provides a theoretical and conceptual evaluation of text as an integrative didactic resource essential for developing the professional readiness of future teachers. Addressing the need for structured didactic tools in competence-based teacher education, the research aims to theoretically substantiate and evaluate the didactic role of text in developing philological competence. The methodology adopts a theoretical evaluative approach, combining structural-functional text analysis with a systematic analysis of competence components. By utilizing literature analysis, content analysis, and interpretive analysis, the study evaluates the educational functions of text without empirical data collection from participants. The analytical findings indicate that text functions as a system-forming didactic factor, supporting the integrated development of linguistic, speech, textual, communicative, cultural, and reflective components. The evaluation suggests that diverse text practices, including popular science and case studies, provide conditions for facilitating critical thinking and productive writing skills through analysis, interpretation, and reconstruction. This study contributes a theoretically grounded “text→philological competence→professional readiness” model that evaluates how text-centric activity facilitates holistic professional readiness. The findings offer a transferable framework for informing curriculum design and supporting the development of text-centered instructional strategies in modern teacher education.
Volume: 15
Issue: 4
Page: 2852-2860
Publish at: 2026-08-01

Integration of phenomenon-based and play-based learning in primary science

10.11591/ijere.v15i4.39040
Prapatchit Techa , Sakda Swathanan , Wichaya Pewkam , Natad Assapaporn
Primary school students in Thailand continue to struggle with science process skills and creative thinking, a challenge underscored by Thailand’s lowest Programme for International Student Assessment (PISA) science scores in 20 years. Traditional instruction emphasizing content memorization while neglecting real-world application has been identified as a major contributing factor. Addressing this issue is critical, as both competencies are foundational for 21st-century learning. This study examined the effects of an integrated phenomenon-based learning and play-based learning (PhBL-PBL) innovation on Grade 2 students’ science process skills and creative thinking skills. A one-group posttest-only design was adopted with 41 students in an authentic Thai primary classroom. Data were collected using validated instruments and analyzed through descriptive statistics and one-sample t-tests against predefined performance criteria. Results showed that 92.68% of students achieved creative thinking skills at a good level or above, and 85.37% reached the same threshold for science process skills, with mean scores for both domains significantly exceeding the criterion level (p
Volume: 15
Issue: 4
Page: 3099-3110
Publish at: 2026-08-01

Reframing teacher evaluation in higher education: a three-pillar framework from Assam

10.11591/ijere.v15i4.40024
Arabinda Rajkhowa , Munmi Dutta
Teacher evaluation shapes the quality of classroom instruction and, through it, student learning outcomes; yet in Indian higher education the dominant single-source model, student feedback channeled through the internal quality assurance cell (IQAC), is widely critiqued as ritualistic and developmentally inert. To the authors’ knowledge, no prior study has integrated student feedback, structured self-evaluation, and peer review into a coherent operational framework for regional Global South contexts. Drawing on primary data collected between 2009 and 2025 from approximately 200 undergraduate arts and science students, principally at North Lakhimpur College (now North Lakhimpur University) and other institutions across Assam, this study employs a qualitative-descriptive design with thematic analysis and triangulation of open-ended questionnaires and semi-structured interviews. Two contributions emerge. First, it yields a culturally grounded fivefold taxonomy of good teaching from Assamese student articulations, including culturally distinctive expectations: the teacher’s public moral role in the community and the obligation of intellectual life beyond the syllabus, that standardized student evaluation of teaching (SET) instruments routinely miss. Second, it proposes a developmental three-pillar framework integrating reformed student feedback, disciplined teacher self-evaluation, and structured peer review to restore the formative function of evaluation and improve student learning outcomes. Both the taxonomy and the framework are scalable across comparable institutions in the Global South.
Volume: 15
Issue: 4
Page: 2840-2851
Publish at: 2026-08-01
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