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ChatGPT: a bibliometric analysis and visualization of emerging educational trends, challenges, and applications Samala, Agariadne Dwinggo; Sokolova, Elizaveta Vitalievna; Grassini, Simone; Rawas, Soha
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i4.28119

Abstract

This study conducts a comprehensive bibliometric analysis and visual exploration of the chat generative pre-trained transformer (ChatGPT) literature in 2023, focusing on its trends, challenges, and applications in education. Using RStudio for bibliometric analysis and VOS viewer for data visualization, this study examines publications from the Scopus database. Following the preferred reporting items for systematic reviews and metaanalyses (PRISMA) guidelines, the systematic review process reinforces the robustness of the analysis. The finding reveals notable trends in the utilization of ChatGPT. Key insights underscore ChatGPT’s increasing role in enhancing engagement, facilitating personalized learning, and fostering student creativity and critical thinking. However, its integration into education encounters obstacles, including ethical considerations, issues of academic honesty, and the imperative for precise usage guidelines; notable applications of ChatGPT encompass language learning, tutoring, automated feedback provision, and functioning as a virtual assistant. These applications showcase ChatGPT’s potential to reshape the educational landscape by introducing innovative pedagogical methods and enriching the student experience. This combined bibliometric and visual analysis provides a comprehensive view of the current status of ChatGPT within the educational domain. It provides a snapshot of the role of ChatGPT in education, offering valuable insights for future research endeavors.
Evolution and Current Trends in STEM Education: A Retrospective and Bibliometric Analysis Sokolova, Elizaveta Vitalievna; Blaginin, Victor Andreevich; Shatrova, Alexandra Yaroslavovna
Journal of Hypermedia & Technology-Enhanced Learning Vol. 3 No. 1 (2025): Journal of Hypermedia & Technology-Enhanced Learning—Digital Revolution
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.169

Abstract

This study explores the evolution of STEM education, tracing its historical origins through contemporary trends and challenges. The research aims to address the need for a comprehensive understanding of current trends and directions in STEM education to align educational practices with societal demands and the evolving 21st-century labor market. The study employed a two-stage methodology: 1) a retrospective analysis of scientific literature to identify key concepts and historical milestones shaping STEM education, and 2) a bibliometric analysis of publications from the past three years (2021–2024) indexed in the OpenAlex database. The bibliometric analysis revealed emerging research clusters and themes, emphasizing trends such as interdisciplinary and transdisciplinary learning and the integration of advanced pedagogical technologies, including digital tools and AI-driven platforms. Key findings highlight the critical role of interdisciplinary approaches in fostering critical thinking, bridging disciplinary divides, and preparing students to solve complex real-world problems. The study identifies promising trajectories for STEM education’s future development, including enhanced integration of STEM disciplines, adoption of innovative pedagogical strategies (e.g., project-based learning), and collaborative frameworks involving educators, policymakers, and industry stakeholders. These insights provide a foundation for advancing STEM education in ways that respond to societal challenges and the dynamic needs of the global workforce.