Research hotspots and development trends of international learning cycle model:Bibliometric analysis based on CiteSpace

Jian, Min; Jin, Dongxue; Wu, Xiaopeng

doi:10.1016/j.heliyon.2023.e22076

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…Burst detection, which is mainly used for trend identification [48], was applied to the literature on smart classrooms, and the results are shown in Figure 14. Burst refers to the intensity of the sudden appearance of keywords for a research topic in a specific field within a certain period [49]. The eight keywords with the strongest citation bursts are "intelligent learning environment," "intelligent tutoring system," "ubiquitous computing," "ambient intelligence," "smart learning environment," "technology-enhanced learning," and "performance," with "intelligent tutoring system" having the strongest strength (7.22), followed by "intelligent learning environment" (5.88) and "smart learning environment" (4.43).…”

Section: ) Keyword Co-occurrence Analysismentioning

confidence: 99%

Visualization Analysis of Smart Classroom Research Based on CiteSpace

Chen,

Zhao

2024

IEEE Access

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As technology continues to advance, the process of educational informationization is progressing steadily. This has made research on smart classrooms increasingly mainstream. However, understanding evolving trends in this field remains a complex challenge. This study explored the current status and future directions of smart classroom research. We conducted a visualization analysis using CiteSpace software. First, we retrieved research literature related to smart classrooms from the Web of Science Core Collection from 1990 to 2023. We then performed descriptive analysis and visualization scientometrics analysis, including the construction of co-citation, collaboration, and co-occurrence networks. From the co-citation network, we identified prominent journals, authors, and core literature on smart classroom research. Collaboration network analysis highlighted the patterns among researchers, institutions, and international collaborations. The co-occurrence network revealed the main categories and directions of research. By integrating descriptive and visualization-based scientometric methods, we delineated the developmental stages of smart classroom research, discussed current hot topics, and suggested future research avenues.

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Section: ) Keyword Co-occurrence Analysismentioning

confidence: 99%

Visualization Analysis of Smart Classroom Research Based on CiteSpace

Chen,

Zhao

2024

IEEE Access

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Examining Divergent Sustainable Trends in Textbook Research: A Comparative Study Between Chinese and International Perspectives

Qu,

Chen

2024

Sustainability

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Textbook research has long been a critical area within the educational academic community. With the ongoing spread of globalization, the significance of educational globalization has become increasingly apparent. Comparative analyses of textbooks from different countries have thus emerged as a popular and critical research topic. In recent years, there has been a growing interest in cross-cultural textbook studies, highlighting the need for a deeper understanding of global disparities in this field. This study compiles essential findings from both domestic and international textbook research, aiming to uncover differences and trends. Using CiteSpace software (V.6.2.R4), a comprehensive visual analysis was conducted through bibliometric and knowledge graph methods, comparing Chinese and international textbook research over the past decade (2013–2023). This paper presents an intuitive visual map of the key dynamics in textbook research. Utilizing a quantitative approach, this study analyzed 1644 and 1478 relevant articles from the Web of Science (WoS) and the China National Knowledge Infrastructure (CNKI) databases, respectively. It examined the annual distribution, core contributors, and institutional co-occurrence of textbook research from 1 January 2013 to 31 December 2023, identifying the distinctive characteristics of textbook research both in China and internationally. Additionally, CiteSpace’s built-in algorithm was used to extract keywords and highlight primary research areas, while keyword burst detection was utilized to illustrate developmental trends. The analysis revealed key differences between Chinese and international textbook research in terms of research focus, organizational forms, focal areas, and future development trends. This study also discusses potential future directions in this area, such as establishing a systematic framework for textbook research, fostering a global community of textbook scholars, and integrating localized elements into textbook research. Additionally, it highlights the importance of sustainability in textbook research, emphasizing the need for educational materials that support long-term global educational goals.

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Research hotspots and development trends of international learning cycle model:Bibliometric analysis based on CiteSpace

Cited by 2 publications

References 47 publications

Visualization Analysis of Smart Classroom Research Based on CiteSpace

Visualization Analysis of Smart Classroom Research Based on CiteSpace

Examining Divergent Sustainable Trends in Textbook Research: A Comparative Study Between Chinese and International Perspectives

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