Research Trends In Education Research Articles

Research trends in digital entrepreneurship education: A bibliometric analysis

Digital entrepreneurship learning is an essential approach to equipping students with knowledge and skills for entrepreneurial behaviour in a digital landscape. This study presents a comprehensive bibliometric analysis of the literature on digital entrepreneurship learning. A total of 359 articles were initially retrieved from the Scopus database, focusing on publications from 2018 to 2022, and 121 relevant articles were selected for in-depth analysis. References were organized using Mendeley, and VOSviewer software was employed for the classification and visualization of trends, key themes, and research networks within the field. This review serves as a foundational resource for future research, highlighting prevalent topics and gaps in digital entrepreneurship education. By mapping the evolution and focus areas of current studies, this paper provides valuable insights for educators, researchers, and policymakers to support the development of effective digital entrepreneurship learning frameworks. Keywords: Bibliometric analysis; digital; entrepreneurship.

국내 초·중등 인공지능 교육 연구동향 분석:학교급별 비교를 중심으로

Objectives This study analyzes trends in domestic elementary and secondary AI education research, suggesting directions for future studies and providing insights to support further research activities. Methods To investigate research trends in AI education for elementary and secondary schools in South Korea, The literature was searched using RISS by combining nine keywords: ‘AI,’ ‘artificial intelligence,’ ‘chatbot,’ ‘machine learning,’, ‘deep learning’, ‘education,’ ‘class,’ ‘learning,’ and ‘teaching’. After a second screening, we selected 140 documents published from 2019 to March 2023 and analyzed them based on basic, research purposes, meth-ods, and content trends. Results First, the number of publications in domestic AI education research for elementary and secondary schools increased from 2019 to 2021 but decreased by one in 2022, with 21 papers published by March 2023. Second, the study subjects were ranked in order of elementary, middle, and high school levels. Third, the primary research fo-cus for elementary and middle schools was on ‘Development and Application of AI Education Programs,’ while high school research also included ‘Analysis of AI Education Curriculum.’ Fourth, developmental research was the most common method, focusing on AI education programs and teaching models across all levels. Fifth, ‘Other’ and ‘Mathematics’ were the most frequently applied subjects. Sixth, the most common teaching methods in-cluded ‘Other,’ emphasizing experiential learning and practical training. Lastly, the most common dependent vari-ables were ‘Attitudes towards artificial intelligence’ at the elementary level, ‘Academic achievement’ at the middle level, and ‘Other’ at the high school level. Conclusions This study is significant in analyzing trends in AI education research within domestic elementary and secondary schools, thereby shedding light on future research directions.

Trends and Prospects of Language Education Research Using Generative AI : Focusing on Topic Modeling and Keyword Analysis

The purpose of this study is to analyze the latest research trends in language education using artificial intelligence, focusing on the potential and prospects of generative artificial intelligence in this field. To achieve this, academic journals and dissertations published on the Korea Citation Index (KCI) and the Academic Research Information Service (RISS) were thoroughly searched to collect subjects for research, which were then analyzed using statistical methods and LDA-based topic modeling techniques. The analysis showed a significant increase in research, with 92 studies emerging after the development of ChatGPT 3.0 in 2023, predominantly focusing on the use of generative AI. The majority of these studies were focused on the Korean language, followed by English and German. Keyword analysis of the 92 academic documents using topic modeling techniques revealed that terms such as ‘education’, ‘generation’, ‘utilization’, ‘artificial intelligence’, and ‘learning’ were most frequently used. Based on these findings, the study examines practical examples of generative AI use in language education both domestically and internationally, explores its potential in the educational field, identifies challenges when utilizing generative AI in language education, and proposes solutions to address these issues.

Mathematics Education Research Trends in the Philippines: A Bibliometric Analysis using Scopus Database

The investigation of research trends in mathematics education in the global landscape has been prominent in the recent years. However, there is a dearth of literature in investigating research trends in mathematics education in the Philippine setting. Thus, this bibliometric analysis on the research in mathematics education in the Philippines from 2013 to 2023 was conducted. This paper aimed to present scientific information about the distribution pattern of research on mathematics education in terms of discipline, the profile of prominent authors, the key subject areas which given emphasis, and the direction of research. A total of 993 articles were obtained from the Scopus database and were analyzed using the VOSviewer software application to see the research trends in mathematics education in the Philippines. Research articles emerged as the predominant document type, followed by conference papers. The pinnacle of mathematics education research in the Philippines was in 2014. Notably, the research trend in the Philippines for the last five years have observable decrease in mathematics education. Results show that in terms of discipline, problem solving, teacher professional development, and curriculum were typically the key areas of emphasis. Moreover, the top author with the greatest number of citations since 2013-2023 is a female researcher from Mindanao. Furthermore, the mathematics subjects that have the most attention are algebra, proof, calculus, technology, geometry, and modeling. Finally, this paper foresees continued growth in mathematics education research in the Philippines, particularly in the realms of professional development and problem-solving.

Research trends in the use of artificial intelligence in higher education

The latest technological advancements have greatly interested researchers in artificial intelligence (AI) in education. In parallel, researchers have expressed concern about using and applying AI in education. However, there is a shortage of research that comprehensively and holistically examines trends in the use of AI in higher education. Hence, this study aimed to comprehensively analyze and assess AI research trends in higher education. In the SCOPUS database, we conducted a bibliometric analysis of 1,563 articles on research on AI in education. Our results revealed that the use of AI in education has increased dramatically from 2004 to 2023. In particular, a dramatic increase and peak exist after 2019. We also found limited interaction among scholars studying AI. Furthermore, our findings indicate that most of the most influential institutions are located in developed countries. Moreover, our findings demonstrated that AI research primarily concentrated on comprehending the impact of AI-based instruction, with the majority of these studies taking place in engineering education between 2017 and 2020. We also noticed that research on medical education in higher education occurred between 2015 and 2017. In addition, before 2015, research used AI in medical education as a teaching method to implement problem-based learning in higher education.

Near future practices of interaction analysis: technology-mediated trends in educational research

ABSTRACT Methodological advancements for the study of learning processes are both shaped by and drivers of technology developments. Interaction Analysis (IA), as a core methodological approach over the past three decades is reflective of this relationship and can be understood by examining moves from analogue video tapes, to digital media, computational and algorithmic technologies, and through recent advances in sensory data and perceptual recordings. It is vital though, that we reflect on the epistemological and ontological implications of these changes as the relationship between researcher, technology, and learning event is changing. In this paper, we identify two techno-methodological trends in education research: computational and immersive approaches, and we discuss what they mean for IA. Computational approaches draw on algorithmic and computational support to identify, capture, and render patterns of learner behaviour found in a variety of interactional data. Immersive approaches on the other hand, invite researchers directly into learning events through technologies like 360° video and virtual reality (360VR). We identify and discuss six implications for these trends and suggest more broadly that researchers should embrace a reflective and entangled relationship between method and technology in their educational research.

Trends in Chemistry Education Research on Student Transformation in the Philippines: A Meta-analytic Review

Creating innovative methodologies and interventions in chemistry education is essential to promote positive student transformation outcomes. Although chemistry educators are key in utilizing its potential in the classroom, very little is known about its efficacy in teaching and learning. This study aims to determine the current research trends in chemistry education. It examines the effect of chemistry education research findings included in the meta-analysis on using varied teaching methodologies on student transformation outcomes. A systematic review and meta-analysis of a pool of studies related to chemistry instruction in the Philippines and through on site or online browsing were conducted. Results show that the country's pedagogical trend in chemistry education centers mainly on cooperative and inquiry-based learning, which aligns with and supports the framework and goals of 21st-century teaching. Results suggested that chemistry teachers can consider employing one of the various pedagogies and methods that effectively improve students' cognitive and affective outcomes. Heterogeneity test warrants that significant differences exist between the grouped features. The effect size data are directly influenced by the significance of the test derived from each study. Studies with significant results tend to have a larger effect size and significantly affect the study variables.

Exploring research topics and trends in early childhood education using structural topic modeling

Early childhood education plays a key role in fostering child development and preparing children for school and life. The aim of the present paper is to give an overview of research topics in early childhood education research based on the analysis of 39,926 scientific articles published between 2000 and 2021 and to explore research trends over time. Therefore, a structural topic modelling approach was used. The analyses show a strong increase in publication activity over the last years as well as the diversity of research topics, which provide important insights for achieving the UN Sustainable Development Goals in various areas (cultural diversity, design of inclusive learning environments, educational institutions, professional development issues, educational policy and reforms, etc.). Beside topics like cultural diversity, and inclusive learning environments more specific research topics, for example self-regulation, executive functions, numeracy, language development and physical activity have been increasingly addressed in publications over the years.

Effect of game-based learning on students’ mathematics high order thinking skills: A meta-analysis

Educational research trends demonstrate a growing interest in understanding the impact of games on mathematics achievement. However, only a limited number of studies have synthesized previous quantitative studies to investigate how game-based learning (GBL) influences the enhancement of students' high-order thinking skills (HOTS) in mathematics. To address this gap, this meta-analysis study aims to investigate the effectiveness of GBL on students' mathematics HOTS. The study analyzed 40 effect sizes from 13 empirical studies published from 2010 to 2024, gathered from electronic databases such as Scopus, Eric, and Pro-Quest. R software was employed for analyzing effect sizes, detecting publication bias, and conducting subgroup analyses. Using the k-means algorithm, two studies identified as outliers were excluded. After removing these outliers, the findings revealed a positive effect of GBL on students' mathematics HOTS, with an overall effect falling within the small category (g = .134, p < .001). Additionally, moderator variables, including educational level, measured thinking skills, continent, control treatment, and intervention duration, significantly influenced the improvement of HOTS using GBL, while the sample size factor showed no significant impact. All findings, limitations, and implications are discussed in this article.

다문화 미디어교육 연구의 동향과 과제

This study aims to identify trends in multicultural media education research and suggest directions for education in a multicultural and media-focused society. To achieve this goal, 53 research articles with the keywords "multiculturalism," "race," "ethnicity," "migration," "migration background," "foreigners," and "media education" from 2006 to 2024 were analyzed, focusing on the types of research, research subjects, research content, types of media, and types of media education. The main findings are as follows. First, research on multicultural media education was first published in 2008 and has been published relatively steadily. Second, most studies focused on “immigrant group” or “immigrant and native population group”. Many of the studies were conducted with adults, and a significant number of studies did not specify age groups. Third, many studies on media education for immigrants covered content that was unrelated to multicultural phenomena, while most studies on multicultural media literacy education often dealt with multicultural phenomena. Fourth, although recent studies have used a variety of media, a number of studies did not specify the type of media. Based on these findings, this study suggests utilizing various research methods, expanding the subjects of multicultural media education, reviewing the content of education, and conducting research that considers the types of media. It also asserts that multicultural media education research should be expanded both in quantity and quality.

영어권 한국어 학습자 대상 한국어 교육 연구 동향

Objectives The purpose of this study is to analyze the research trends in Korean language education for English-speaking Korean learners and propose future research directions. Methods To achieve this, 100 academic journal articles and 103 theses published from 2000 to 2023 were selected as the subjects of analysis. They were categorized by year, type, proficiency level, and topic for thorough examination. A qualitative method was used in which the researcher sets analysis criteria and classifies the study accordingly. Results Research on Korean language education for English-speaking learners began in 2000 and peaked in 2015, with the highest number of studies published. Since then, it has been maintained at a steady level. In terms of publication types, there were 100 academic journal articles and 103 theses, with the majority focusing on beginner-level learners, while research on intermediate-level learners was the least prevalent. Looking at the topics, studies on educational content and learner performance patterns accounted for the largest proportion, whereas research on general education, learner factors, and educational materials appeared relatively scarce. Conclusions Research on cultural education content for English-speaking learners needs to be conducted more actively, and studies on educational materials available to English-speaking learners should be diversified according to specific topics and proficiency levels. Additionally, research on teacher education and studies on self-directed learners are also necessary.

Bibliometric Analysis of Research on Heuristic Method, Research Skills and Teaching Practice in Higher Education: A Perspective from Online and Blended Learning based on Scopus Database 2013- 2023

The present study conducted a detailed bibliometric analysis focused on research related to Heuristic Method, Research Skills and Teaching Practice within the framework of Higher Education. For this purpose, the Scopus database was used, considering publications from 2013 to 2023. The initial analysis revealed a total of 4071 relevant records. Of these, research articles constituted the largest proportion with 60.1%. Given the relevance and volume of these articles, 2488 were selected for further analysis. However, after a filtering process, it was decided to work with 2363 articles. A crucial observation of the study is the prominence of the Social Sciences in this field. With 1,693 articles, the Social Sciences accounted for a significant 39.9% of the total number of publications analyzed. This data suggests a notable inclination towards the Social Sciences when addressing the above-mentioned topics in the field of higher education. It also reflects the interdisciplinarity and diversity of approaches in contemporary educational research. It is essential to note that the methodology adopted in this study, based on bibliometric tools and the Scopus database, provides a robust and up-to-date overview of trends in educational research over the last decade. These findings are crucial for scholars, researchers and practitioners in education to understand the dynamics and recent evolutions in the field.

Inclusive Education Research Trends in Indonesia: A Bibliometric Analysis

Inclusive education is increasingly recognized as a critical component in ensuring equitable access to quality education for all students, regardless of their abilities or backgrounds. However, in Indonesia, the development and implementation of inclusive education practices remain uneven, with limited understanding of its growth and impact within the local context. This study aims to analyze inclusive education in Indonesia through bibliometric analysis, addressing six key questions: the most frequent keywords, trends in scholarly publications, prolific researchers, citation rates, influential journals, and collaboration patterns with other countries. Data from Scopus over the past decade resulted in 148 relevant articles, covering a wide range of topics from [Topic 1] to [Topic 2]. Findings reveal a predominant focus on inclusive education concepts in Indonesian literature, experiencing significant growth peaking in 2023. The study identifies 12 highly active authors with 98 articles and the top 10 most cited articles receiving 219 citations. Notably, research in 2020 achieved the highest citation rate, with 111 citations. The International Journal of Special Education emerged as the primary publication outlet. Indonesia collaborated with 13 countries, notably Malaysia, Australia, and the United States. These findings provide a robust foundation for developing inclusive education concepts and practices tailored to Indonesia's specific needs and context.

Trends and challenges of integrating the STEAM approach in education: A scopus literature review

Introduction: Scopus is a bibliographic database recognized globally for its breadth and depth, and plays a vital role in identifying research trends in education, particularly in the STEAM (Science, Technology, Engineering, Arts and Mathematics) approach. Its vast collection of scientific articles, journals, conferences and patents provides researchers with access to a wide and diverse range of relevant studies. Scopus' ability to provide a comprehensive and up-to-date view of the development and implementation of the STEAM approach is crucial. Methodology: Using advanced bibliometric search and analysis tools, researchers can identify emerging patterns, evaluate pedagogical methodologies, and recognize areas that require further attention. In addition, Scopus facilitates the detection of international collaborations and the identification of leaders in STEAM research, allowing educators and policymakers to make decisions based on solid evidence and current trends. Results: In this bibliometric analysis of publications in Scopus between 2010 and 2024, the terms Educational approach STEAM, STEAM approach and STEAM were used as search metadata, yielding 254,303 results. After applying filters, 263 documents directly related to STEAM were selected. The results, analyzed using Vosviewer, revealed six affinity clusters based on keyword recurrence. Terms associated with STEAM include transdisciplinarity, instructional design, pedagogy, and technology. STEAM education is linked to teacher education, computational thinking, and art education. STEM relates to science and educational robotics. Primary education encompasses preschool and secondary education, comprehensive education, and inquiry-based design. Less frequently, the nodes education and teaching are associated with curriculum, science education, motivation, and pedagogical methods. Conclusion: This keyword analysis demonstrates the wide range of competencies and terms associated with STEAM, providing valuable information for identifying key competencies in this educational approach.

Bibliometric analysis : Green chemistry trends and issues in chemistry education from 2019 to 2024

This study analyzes green chemistry research trends in chemistry education. This study used a quantitative bibliometric approach. The number of publications analyzed is 104 publication documents from 2019 – 2024. This research collects, processes, and filters information in Scopus journals and articles. Metadata results show that the distribution of publication frequency peaked in 2019, with 26 documents identified. The green chemistry research area is dominated by chemistry research (31.3%). The country with the most documents and the most productive in publishing green chemistry is the United States, with 30 papers identified. At the same time, Indonesia is ranked fifth as the most productive country in publishing green chemistry, with 10 documents identified. Canada ranked second with 17 papers, and Germany ranked third with 15 documents. The institutions that contributed the most came from Germany: the University of Bremen, with 11 papers 10.58%, and the University of Toronto with 8 documents (7.69%). The authors with the most citations are Chen Tse-Lun et al., with 245 citations. Meanwhile, when viewed from the number of documents published by the author, Eilks I. has 11 papers with a contribution of 4.91%. There are 5 clusters with the most popping keywords: green chemistry, human, and chemical reaction. Research and publications on this topic have been sparse in the past five years. Surveys and analyses of green chemistry literature are essential because tracking research trends in green chemistry in chemistry education is vital to directing the future.

교육과정 시기 및 학술지별 가정과교육과정 연구의 동향

This study examined the trends in home economics education research across different curriculum periods and journals. A total of 374 papers related to the 2009, 2015, and 2022 revised curricula were selected and analyzed using network analysis from four journals. First, research trends were analyzed by curriculum period. Keyword frequency analysis revealed that articles on the 2009 and 2015 revised curricula primarily focused on analyzing the curriculum to develop textbooks or programs. In contrast, papers on the 2022 revised curriculum explored broader directions. Topic modeling results highlighted the prominent topics for each period: ‘environmental education’ in the 2009 revised curriculum, ‘safety and health education’ in the 2015 revised curriculum, and ‘ecological transition’ in the 2022 revised curriculum. Second, research trends were analyzed by journal. Keyword frequency analysis by journal exposed specific research tendencies. For example, in the Journal of Home Economics Research, ‘perceptions of practical classes’ and ‘analysis of safety textbooks’ were major topics for the 2009 revised curriculum, while ‘teaching and learning plans for competence development’ dominated research on the 2015 revised curriculum. This study demonstrates that the concepts and goals emphasized in curriculum revisions are reflected in the corresponding research.

Analysis of Educational Research Trends: Focusing on「Korean Journal of Educational Research

Analysis of Educational Research Trends: Focusing on「Korean Journal of Educational Research

Research trends on learning mathematics with the CPA (Concrete-Pictorial-Abstract) approach

Learning mathematics with the CPA approach has been practiced in Singapore and proven its effectiveness. However, there needs to be a synthesis of previous studies to find research gaps for future research. This article is a preliminary-research for information on the CPA approach and its modifications to mathematical abilities and attitudes. This article is a Systematic Literature Review (SLR) of 39 studies published from 2010 to April 2023 using the Publish or Perish application with the Scopus database. This article aims to find out: (1) Description of mathematics education research trends using the CPA approach in terms of publication year, author, country, level of education, and mathematics content. (2) Application of the CPA approach to the type of mathematical ability and attitude of students. The results showed that research outside the elementary school level needs further investigation. Abstract mathematical concepts require a CPA approach. The CPA approach has a positive effect on students with or without learning disabilities or at risk of failure. Results and suggestions for future research on this topic are provided.

Trend Research on Education Tourism from 2020 – 2022: A Bibliometric Study

Research in tourism education is essential for various reasons, including deepening our understanding of the industry, identifying emerging trends and challenges, developing effective educational programs, and fostering innovation and competitiveness. This article explores the significance of tourism education through a bibliometric analysis of leading authors, institutions, and countries. The study focuses on productivity, citation patterns, and research trends in tourism education over three years (2020-2022). Using a sample of 908 Scopus documents, the study employs quantitative data analysis techniques and identifies patterns using Bibliometric R and Elsevier's SciVal fingerprint tool. The results indicate that China is the most active country in tourism education research, with two universities in Portugal standing out as the top publishing institutions. Additionally, the analysis highlights the areas of ecotourism and higher education as the most closely related topics to tourism education during the period analyzed. In three years (2020-2022), it is clear that tourism education in higher education is a topic of discussion every year.

Trends in Educational Professional Development Research in Indonesia from 2015 to 2024: A Bibliometric Analysis

Trends in Educational Professional Development Research in Indonesia from 2015 to 2024: A Bibliometric Analysis