Research Trends In Education Research Articles

A Review of Research on Engineering in K‐12 Science Education

ABSTRACTThe purpose of this study is to explore trends in interrelated engineering education and science education research within six science education research journals across the first decade since the release of the Framework for K‐12 Science Education and the Next Generation Science Standards. Journals were selected using a combination of impact factors and random sampling. The resulting qualitative systematic review exposes trends that arose and fell among science education journals and scholars as reflected in 141 articles published between 2011 and 2024 in the Journal of Research in Science Teaching, Science Education, the International Journal of Science Education, School Science and Mathematics, the Journal of Science Teacher Education and Cultural Studies of Science Education. Through the analysis of 289 published research questions and purposes, themes of research and stakeholder foci were developed to uncover trends in research across this timespan. The greatest proportion of research examined student learning of science content through engineering experiences and teacher practice concerning science and engineering adjacent learning. Gaps in the literature are also described including studies in greater need of focus, most notably those that examine the roles of communities, families, learner agency, and access to engineering and science. Findings illuminate a need for improved resonance between the calls of policy for advancing access to science, STEM, and engineering education and literacies and research that remains most focused on traditional settings and structures.

Exploring Research Trends in Thai Learners Studying Korean via Topic Modeling and Keyword Network Analysis

Background and Objectives: The Korean language education in Thailand has increasingly spread. Research on Thai learners studying Korean has also been continually conducted. The number of students majoring in Korean at the undergraduate level and subsequently pursuing graduate studies in Korean, Korean literature, and Korean culture has also increased, leading to the dissemination of master’s and doctoral theses. This study aims to study the trends and current situation of research on Korean language teaching and learning for Thai learners using Topic Modeling and Keyword Network Analysis. By doing so, the study aims to present important information and suggest guidelines in developing Korean language teaching and learning in Thailand. Methods: This study examined 283 research papers and theses on Korean language education for Thai learners published between 1998 and September 2024. The dataset includes 149 theses, 93 KCI-indexed articles, and 41 TCI-indexed articles. The data were collected using the keywords relating to Korean language education for Thai learners from RISS (Research Information Sharing Service) and Thai Journals Online. Then Topic Modeling and Keyword Network Analysis was used to analyze topics and research patterns. Results: The Topic Modeling Analysis revealed that the research topics about curriculum and textbook development have consistently been of interest until now. In addition, the topics about language skills, including pronunciation, grammar, and pragmatics have been raised as research issues in various aspects. Especially, after 2020, there has been an increase in publishing the research papers on teacher training and learner-related factors such as anxiety and learning strategies. The Keyword Network Analysis showed the words "comparison," "use," "pattern," and "process" were used in many research topics. Application of this study: The continuing interest in curriculum and textbook development from the above study results highlights the need for diverse educational information tailored to the characteristics of Thai learners. Additionally, the growing focus on individual learner factors reflects the necessity of addressing learners' challenges and creating learning environments and effective teaching methods. In addition, the results of the Keyword Network Analysis suggest the necessity of conducting more cross-cultural studies that align with the special characteristics of Thai learners and applying these findings in educational settings. Conclusions: This study examined trends in Korean language education research for Thai learners, highlighting the importance of adapting to Thailand’s changing educational landscape. As Korean language education progresses in secondary and higher education, continued research and practical applications are essential. The rising interest among Thai students emphasizes the need for tailored instructional materials, innovative strategies, and learner-centered approaches. Integrating digital learning and addressing specific linguistic challenges will enhance the learning experience. Bridging theoretical research with classroom practice can ensure that Korean language education remains effective and responsive to the diverse needs of Thai learners better.

The Trends of Peace Education Research in Indonesia: A Bibliometric Analysis Aligned with Quality of Education

Introduction: This bibliometric analysis examines the trends and development of peace education research in Indonesian universities from 2014 to 2024. Utilizing data from reputable databases such as Web of Science and Scopus, the study identifies key characteristics of published works, including authorship, subject areas, and trends in scientific production. The findings reveal a growing interest in peace education, with a significant increase in publications over the years. The research primarily focuses on the religious and philosophical foundations of peace education in Indonesia, emphasizing the influence of cultural values on this field. The analysis also identifies prominent authors, influential journals, and collaborative networks within the field. Finally, the study concludes by highlighting key themes and trends in Indonesian peace education research, emphasizing the importance of character education, diversity, religious moderation, conflict resolution, and youth engagement. These findings contribute to a more nuanced understanding of the evolving landscape of peace education research in Indonesian universities and offer insights that will inform future research and practice. Objective: This study conducts a bibliometric analysis to explore trends and developments in peace education research at Indonesian University from 2014 to 2014. Theoretical Framework: The stuudy is grounded in key theories and models relevant to peace education, focusing on religious, philosophical, and cultural influences that shape this field in Indonesia. Method: The study utilizes a bibliometric approach, analyzing data from databases such as Web of Science and Scopus. It examines authorship, subject areas, and trends in scientific production through a comprehensive review of published works from 2014 to 2024. Results and Discussion: Findings show a significant increase in peace education publications over the decade, highlighting key themes like character education, diversity, religious moderation, conflict resolution, and youth engagement. The discussion contextualizes these findings within the theoretical framework, identifying implications and limitations. Research Implications: The study offers practical and theoretical insights, particularly on how cultural values inluence peace education in Indonesia. It provides valuable guidance for future research and educational practices. Originality/Value: The research contributes to the literature mapping out the evolving landscape of peace education in Indonesia, identifying influential authors, journals, and collaborative networks. It underscores the growing importance of peace education themes in Indonesia academic discourse.

대학 AI 활용 교육 연구동향

Objectives This study aims to analyze research trends in university AI-based education and provide implications for future university AI-based education research. Methods This study was conducted from August 2024 to October 2024. This study analyzed previous studies to set analysis categories and collected 60 domestic academic journals as analysis target papers. This study analyzed and described the research period, research type, research content, major field, related variables, class type, class period, AI tools, etc. Results First, the most research on university AI utilization was conducted in 2023 and 2024. Second, the trend by research type showed that quantitative research was highly weighted, followed by qualitative research, mixed research, and literature research. Third, in terms of trends by major field, ‘Korean language and literature’ was the most utilized. Fourth, in terms of trends by research content, the most research was conducted on the development and effectiveness of AI-based education programs. Fifth, in terms of trends by related variables, AI-utilizing education was the most utilized independent variable, and academic achievement was the most utilized dependent variable. Sixth, in terms of trends by class type, the proportion of subject areas was high, and the proportion of majors was higher than that of liberal arts. Seventh, the trends by class period were most frequent in 4 and 5 weeks. Eighth, in terms of AI-utilizing tools, ChatGPT was highly utilized. Conclusions The significance of this study lies in its analysis of research trends in university AI-based education and its suggestions for future research directions.

조기영어교육 연구동향 분석: 2000~2024년 국내 학술지 논문을 중심으로

The purpose of this study is to analyze research trends in early childhood English education and to explore future research directions. To achieve this, 221 domestic academic journal articles, published between 2000 and 2024 were analyzed through the Research Information Sharing Service(RISS) based on five criteria: period, target group, methodology, topic, and the researcher’s field of expertise. Freguency and percentages were calculated for each criterion. The findings are as follows: First, research on early childhood English education has been consistently conducted from 2000 to July 2024, with the highest number of studies published between 2009 and 2017. Second, regarding target groups, most studies focused on children, followed by educator, general material subjects, Caregiver, other subjects, and digital educational media. Third, in terms of methodology, quantitative research was the most common followed by mixed-methods research, qualitative research, literature reviews, and other approaches. Fourth, concerning topics, studies on the current status and perceptions were the most frequent, followed by research on English education assessment, teaching and learning methods, teacher competence, English acquisition and related variables, and curriculum improvement. Fifth, analysis based on the researcher’s fields of expertise showed that research on early childhood English education was conducted more frequently in the field of early childhood education than English education. An examination of research topics by academic fields revealed that studies in the field of early childhood education primarily focused on the current status and perceptions, while studies in the field of English education mainly addressed teaching and learning methods and English education assessment. It is anticipated that these results will provide foundational data for future research in this field.

Implementation of STEM Education in Schools: A Bibliometric Analysis (2003-2024)

STEM education offers significant benefits, including improving students' ability to solve problems, think critically and innovate. It not only prepares students to enter the workforce, but also facilitates their engagement in society at large. The main objective of this study is to provide a comprehensive bibliometric analysis of STEM education research from 2003 to 2024. It will identify the most prolific affiliations, sources, authors and documents as well as key research themes and trends in STEM education. This research is a bibliometric study with a PRISMA design that will help the authors to map the Scopus database. From the results of the above analysis, it can be concluded that the implementation of STEM education in schools shows a significantly increasing trend over the period 2003-2024, with a surge of publications starting in 2018 and peaking in 2020 and 2021 with 18 publications per year each. Asia was the most productive continent, with 47.52% of articles published by affiliates from this region, dominated by seven affiliates from countries such as Vietnam, Hong Kong, Turkey and Malaysia. Europe and Australia also showed high productivity with significant contributions from universities in countries such as Germany, Ireland, Greece and Australia

认知发展视角下的中国教育研究动向分析 – 基于CiteSpace的可视化分析（2003-2023) –

认知发展视角下的中国教育研究动向分析 – 基于CiteSpace的可视化分析（2003-2023) –

대학 메타버스 활용 교육 연구동향

Objectives This study analyzed research trends in university metaverse utilization education and attempted to provide basic data for future university metaverse utilization education research. Methods This study was conducted from February 2024 to April 2024. Related prior studies were analyzed for two weeks, a research plan was established for two weeks, and papers to be analyzed were collected for four weeks from March 1. 42 domestic academic journals were selected, and the research period, research type, research content, major field, related variables, class type, class period, and platform trends were analyzed and described for four weeks from April 1. Results First, the most educational research on university metaverse was conducted in 2023. Second, the trend by research type showed a high proportion of mixed research, followed by quantitative research, development research, qualitative research, and literature research. Third, trends by major area showed high utilization in education. Fourth, in terms of trends by research content, the most research was conducted on program development and effectiveness for education using the metaverse. Fifth, the trend for each related variable showed that metaverse utilization classes were used as an independent variable, immersion was used as a mediating variable, and learning satisfaction and learning presence were used as dependent variables. Sixth, trends by class type showed a high proportion of subject areas. Seventh, the trend by class period was highest at 13 weeks. Eighth, the trend by platform showed high utilization of Gathertown. Conclusions This study is significant in that it analyzed trends in educational research using university metaverse and proposed directions for future research.

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.

Efecto del aprendizaje basado en juegos en las habilidades de pensamiento de orden superior en matemáticas de los estudiantes: un metanálisis

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.

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.

Trends in STEM Education Research in Europe in 2005-2019

The article reviews science education literature from 2005 to 2019, focusing on pedagogical foci in two European publication venues. Using the Didactic Focus Categorization (DFC) method, it analyses research trends in Greece compared to broader European patterns. The study reveals that the most-studied areas are the relationship between students and learning goals, along with the influence of teachers on this relationship. However, certain areas, such as teachers' characteristics and classroom dynamics, remain underexplored. These findings highlight opportunities for further research, particularly in underrepresented areas, which could inspire new research questions and educational improvements. By identifying gaps and trends, this work contributes to a more holistic understanding of science education and encourages a more balanced approach in future studies.

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.