Jurnal Online Universitas Jambi
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Measuring academic productivity in higher education: A bibliometric analysis of output and scientific impact
Full text linkThis research presents a bibliometric analysis of academic productivity research in higher education from 2015 to 2025, based on 241 Scopus-indexed journal articles. Using VOSviewer and Biblioshiny, the analysis identifies influential papers, institutions, and countries, revealing that the United States and China are the most productive contributors, with strong international collaborations (23.65% co-authorship). The publication trend shows a steady increase, with no decline during the COVID-19 period, indicating the persistent relevance of this research area. Keyword mapping highlights five key research clusters: scientific productivity, research impact, efficiency measurement, human capital, and institutional factors. Despite advancements, gaps remain in the role of AI, digital transformation, and faculty well-being in academic productivity. Future research should focus on data-driven efficiency models and sustainability in higher education. This investigation offers helpful insights for policymakers and institutions aiming t
School principals’ instructional supervision strategies for enhancing teachers’ capacity for self-renewal
Full text linkEducation demands continuous teaching and self-renewal to maintain instructional relevance amid evolving demands. This qualitative study examines the instructional supervision strategies employed by the principal at SD Pelita Fajar Elementary School to enhance teachers' capacity for self-renewal. Data were gathered through observation, interviews, and document analysis, and analyzed via NVivo 14 following Miles, Huberman, and Saldaña's interactive model. Findings indicate that the principal implements collaborative, evidence-based strategies across planning, implementation, follow-up, and evaluation phases, anchored in instructional leadership. These foster a structured self-renewal cycle—exploration (diverse knowledge sourcing), exploitation (innovative media creation), absorption (skill internalization), and integration (collaborative embedding)—while addressing barriers like time constraints and low motivation through targeted solutions. The approach significantly enhances teachers' adaptability, problem-solving skills, and professional growth, underscoring the crucial role of supervision in sustainable development
Supporting Students in Developing Mathematics Learning Media for Fractions Topic
Full text linkThis study aims to address the challenges faced by seventh-grade students in understanding fraction concepts, particularly their difficulties in both conceptualizing and applying fractions in real-life contexts. To tackle these issues, a training program was designed to enhance students' creativity and improve their comprehension of fractions through the development of mathematics learning media. The training was specifically conducted at MTs Miftahul Ulum, and it employed a two-phase methodology. The first phase involved the delivery of instructional content on fractions, while the second phase focused on guiding students in the creation of simple, yet effective, mathematics learning media. The results of the training indicated a high level of engagement and enthusiasm among participants, as demonstrated by their active involvement in the media creation process. This study contributes to the pedagogical field by providing an innovative approach for supporting students in designing and utilizing learning media, ultimately fostering a more interactive and engaging learning environment. It is anticipated that the knowledge gained from this training will empower students to design creative learning tools that can enhance their understanding of mathematical concepts, particularly fractions
CRYSTALLINITY AND PHASE COMPOUNDS IN POLYVINYL ALCOHOL-MONTMORILLONITE NANOCOMPOSITES THROUGH X-RAY DIFFRACTION AND OPTICAL MICROSCOPY
Full text linkThe aim of this study was to analyse modern advancements in X-ray diffraction and optical microscopy to enhance the characterization of polyvinyl alcohol-montmorillonite (PVA-MMT) nanocomposites. The development of advanced nanocomposites has garnered significant attention due to their potential applications in various fields. Among these, polyvinyl alcohol reinforced with montmorillonite has emerged as a promising material owing to its enhanced mechanical and thermal properties. However, a thorough understanding of the crystallinity and phase compounds in these nanocomposites is essential for optimizing their performance and quality. To achieve this goal, recent studies on these techniques were systematically reviewed, and their effectiveness, advantages, and limitations were evaluated. The results demonstrated that digital holography, fluorescence microscopy, and confocal microscopy significantly improve the visualization of microstructural features and provide detailed 3D images and quantitative phase contrast. In situ X-ray diffraction allowed real-time monitoring of structural changes, while small-angle X-ray scattering provided detailed information about the size, shape, and distribution of nanostructured features. Synchrotron X-ray diffraction offered very high resolution and sensitivity, facilitating precise characterization of the nanocomposite’s properties. By integrating these advanced techniques, the study established a comprehensive framework for understanding the crystallinity and phase composition of PVA-MMT nanocomposites, paving the way for optimized material development
MICRO RNA AS KEY REGULATORS IN ALLERGIC DISEASES: EPIGENETIC MECHANISMS AND DIAGNOSTIC POTENTIAL
Full text linkEpigenetic therapy represents a promising approach for treating allergic diseases, with microRNAs (miRs) playing a crucial role as regulatory molecules in the immune response. The aim of this study was to systematize data on miRs to elucidate the molecular mechanisms of pathogenesis in allergic diseases. A meta-analysis of 61 studies published between 2017 and 2024 was conducted, focusing on specific miRs, their targets, biochemical interactions, model organisms, and health impacts related to different allergic diseases. The study identified key miRs such as miR-21, miR-151A, miR-155, miR-202-5p, and miR-375, which regulate inflammatory processes in allergic asthma, allergic rhinitis, atopic dermatitis, and urticaria. miRs such as miR-143-3p, miR-146a, and miR-221 have dual roles in modulating inflammation, depending on the tissue and disease stage. Additionally, miRs influence the differentiation of macrophages and T-helper cells, and the production of pro- and anti-inflammatory cytokines, which are critical to the pathogenesis of allergic diseases. Specific diagnostic markers were proposed for each disease, including miR-126, miR-133a, and miR-203 for asthma and atopic dermatitis. This analysis highlights the complex role of miRs in regulating allergic responses, offering potential therapeutic targets for miR-based interventions. The findings suggest that miRs could serve as biomarkers for diagnosis and prognosis of allergic diseases. Furthermore, the ability of miRs to both exacerbate and attenuate inflammation underscores their potential as therapeutic tools in precision medicine. The novelty of this study lies in the comprehensive synthesis of miR involvement in allergic diseases, providing a clearer understanding of their dual regulatory roles
INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO EDUCATIONAL PLATFORMS FOR EFFECTIVE LANGUAGE LEARNING
Full text linkThe use of artificial intelligence (AI) technologies in language teaching is one of the most promising and dynamically developing areas at the intersection of computer science, linguistics, and pedagogy. Purpose. The study aimed to identify key factors and prospects for the use of AI technologies in the field of language education in Uzbekistan, addressing the unique linguistic and cultural characteristics of the country. Methods. The study analysed existing approaches to integrating AI into language teaching, explored the technical and pedagogical aspects of introducing artificial intelligence technologies into educational platforms in Uzbekistan, and assessed the potential for extending this experience to language education in the country. Results. The study results demonstrate that Uzbekistan has a sufficiently developed technological infrastructure for implementing artificial intelligence projects in education. Conclusions. Research findings also highlighted artificial intelligence's valuable potential for advancing multilingual education initiatives, simultaneously supporting the teaching of Uzbek as the official language while preserving and developing minority languages. The results of the study can be used to create a comprehensive strategy for introducing artificial intelligence into the educational system of Uzbekistan
INFLUENCE OF SOCIAL AND EMOTIONAL LEARNING AND LANGUAGE DEVELOPMENT ON KINDERGARTEN TEACHERS’ PERFORMANCE
Full text linkThe benefits of social and emotional learning in early childhood education have been underlined by research more and more as a critical component in influencing teachers’ methods and encouraging successful student outcomes. Thus, this study explored the kindergarten teachers’ social and emotional learning practices, strategies for teaching language development, and their relationship to teaching performance. It utilized an embedded mixed-method research design with 108 kindergarten teachers sampled from 36 schools in a selected Philippine region. Data were gathered online with a Social-Emotional Competence Questionnaire and a Teacher Survey Instructional Orientation Questionnaire. Results indicated that high teaching performance was associated with experience and position. Effective language development and SEL practices, particularly those related to social awareness, supported cognitive and emotional growth. This study found that effective language development and SEL practices also strengthened the outcome of teaching and learning. Combining language development techniques with social and emotional learning is vital to promote teacher effectiveness and the overall development of young children
UNDERSTANDING THE ASYMMETRIC EFFECTS OF EXCHANGE RATE ON ECONOMIC GROWTH: EVIDENCE FROM INDIA
Full text linkThis study examines the short-term and long-term relationships between economic growth, exchange rate fluctuations, money supply, and government expenditure in India from 1980 to 2022. The study employs econometric techniques such as unit root tests, Nonlinear autoregressive distributed lag (NARDL) model, FMOLS & DOLS tests, and the Granger causality test is used to determine the direction of causal relationships. The data utilized in this study were collected from the Handbook of India’s Statistics (RBI) and World Development Indicators (WDI). The unit root tests indicate mixed order of integration for the selected variables. The results of the NARDL model confirm a long-term relationship among economic growth, exchange rate changes, money supply, and government expenditure. The findings indicate that undervaluation negatively affects economic growth in India, whereas overvaluation promotes it. Furthermore, the analysis reveals an asymmetric impact of exchange rate changes on economic growth. The Wald test further supports the presence of asymmetry in both the short-run and long-run. The causality test results show bidirectional causality between exchange rates, government expenditure, and economic growth, while unidirectional causality runs from money supply to economic growth. Based on the empirical findings, some policy implications may be suggested to the government. The exchange rate-controlling organization should emphasize restoring stability and pursue the establishment of a stronger exchange rate to achieve the goal of sustained economic growth and, ultimately, sustainable developmen
STUDY OF THE IMPACT OF FOREIGN INVESTMENT ON ECONOMIC DEVELOPMENT IN EMERGING MARKETS
Full text linkIn the context of globalisation, national active development is possible by attracting foreign investment and opening joint ventures with foreign partners. Emerging markets need to create a positive business climate and legislation that protects the rights of foreign investors. It is necessary to identify the positive and negative factors that influence foreign investment in the development of countries. The study aimed to address the positive and negative experiences of attracting foreign investment in emerging market economies. The main research method was an analysis of the existing experience of attracting foreign investment in China, Kosovo and Uzbekistan. The study identified positive and negative trends in the inflow and outflow of foreign direct investment (FDI). The degree of influence of the inflow of FDI on the gross domestic product (GDP) and the tendency of its change was determined. Based on the results of the Doing Business rankings, the International Institute for Management Development (IMD) World Digital Competitiveness Index, and the Global Innovation Index, positive and negative trends in attracting foreign investment in the economies of the countries studied were substantiated. The World Digital Competitiveness Ranking includes only 67 countries, including China. Factors that hinder the attraction of foreign investment in China, Kosovo and Uzbekistan were identified. The ways of changing the environment that influence the attraction of foreign investments and the peculiarities of their distribution are substantiated based on the best practices studied
TRANSFORMATION OF MATHEMATICAL KNOWLEDGE FOR TEACHING NON-EUCLIDEAN GEOMETRY CONCEPT THROUGH E-LEARNING BASED ON THE THEORY OF DIDACTIC SITUATIONS USING A MULTIPHASE MIXED METHOD
Full text linkThe understanding of non-Euclidean geometry is essential for mathematics teachers as it can broaden the spatial perspective and enhance logical and abstract thinking. However, many teachers face challenges in teaching this concept because it conflicts with the long-established intuitive understanding of Euclidean geometry. An innovative technology-based method is then required to make non-Euclidean geometry learning more effective. Therefore, this research aimed to explore how mathematical knowledge related to non-Euclidean geometry could be transformed and enhanced through e-learning based on the Theory of Didactic Situations (TDS). A multiphase mixed method (MMM) was used to achieve this objective. Approximately 20 mathematics teachers, including 6 males and 14 females, were selected as the participants. Data were collected using content development guidelines, observation sheets, interviews, and tests, as well as analyzed qualitatively and quantitatively. The results showed that e-learning based on TDS effectively improved teachers' understanding of non-Euclidean geometry. In addition, this method enhanced teachers' engagement and encouraged independent exploration during the learning process. There were still challenges in understanding hyperbolic, spherical, and elliptic geometry due to a limited understanding of non-Euclidean axiomatic systems. Conceptual and procedural errors were commonly traced back to the limitations of visualizing non-Euclidean spaces. To address such issues, a more interactive method, combining visual simulation and problem-based learning, was recommended to improve non-Euclidean geometry literacy among teachers and students