Enterprise AI Analysis
Research trends on artificial intelligence in K-12 education in Asia: a bibliometric analysis using the Scopus database (1996-2025)
The incorporation of artificial intelligence (Al) in education has gained substantial attention due to its numerous advantages. However, existing studies rarely investigate the application of Al technologies in K-12 schools, particularly in Asia. This study seeks to analyze research trends through bibliometric analysis, tracing the evolution of Al in K-12 education (AlEdK-12) across Asian countries from 1996 to 2025. A total of 531 articles were retrieved from the Scopus database for analysis. Descriptive bibliographic data was processed using Microsoft Excel and Bibliometrix, while network visualization was conducted through VOSviewer. The results reveal a growing interest in Al applications in K-12 education within Asia over the past 30 years. China stands out with the highest volume of publications, while Hong Kong leads in terms of citation counts. The Chinese University of Hong Kong was identified as the most active institution, contributing 60 publications. Education and Information Technologies, the leading journal in the field, published 27 articles and accumulated 442 citations. The most cited article, authored by Hwang et al., received 174 citations. Notably, T.K.F. Chiu from The Chinese University of Hong Kong authored 16 papers and holds an h-index of 14. Keyword analysis revealed that "artificial intelligence," "machine learning,” “Al education,\" "deep learning,” and “chatbot” are among the most frequently used terms, highlighting the primary research themes in this area. This study provides valuable insights into the current landscape of AlEdK-12 in Asia, outlining significant research areas and offering guidance for future investigations.
Executive Impact: Key Metrics at a Glance
This bibliometric analysis of AI in K-12 education (AIEdK-12) across Asian countries from 1996 to 2025 reveals a rapidly growing field. China leads in publication volume (180 articles), while Hong Kong excels in citation impact (1949 total citations, 31.44 average per article). The Chinese University of Hong Kong is the most prolific institution (60 publications), and 'Education and Information Technologies' is the leading journal. Key research themes include 'artificial intelligence', 'machine learning', 'AI education', 'deep learning', and 'chatbot'. The study emphasizes the need for increased international collaboration and targeted investment in developing Asian nations to address research disparities and further integrate AI into K-12 curricula.
Deep Analysis & Enterprise Applications
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This category focuses on the chronological evolution and quantitative growth of AIEdK-12 research in Asia. It highlights the significant increase in publications since 2017, with a peak in 2024, demonstrating heightened academic interest. The average annual growth rate of 9.25% signals continuous expansion. Despite early stagnation, the field has gained substantial momentum, driven by technological advancements and increasing investment in AI-driven educational technologies across the region.
This section identifies the most influential countries, institutions, and authors in AIEdK-12 research. China leads in publication volume (180 articles), while Hong Kong boasts the highest citation impact (1949 total citations). The Chinese University of Hong Kong is the most productive institution (60 publications), and T.K.F. Chiu is recognized as the most prolific author (16 papers, h-index 14). This highlights the dominance of East Asian nations and institutions in driving the field forward, while also noting the underrepresentation of other Asian regions.
Keyword analysis reveals the primary research themes. 'Artificial intelligence', 'machine learning', 'AI education', 'deep learning', and 'chatbot' are central to the discourse. The thematic evolution shows a shift from general AI applications (1996–2020) to student achievement and creativity (2021-2022), and more recently, personalized learning and generative AI (2023–2025). This progression reflects the evolving integration of AI tools and their impact on cognitive and affective domains in K-12 education.
The study provides theoretical and practical implications. Theoretically, it offers valuable insights into the evolving relationship between technology and education in AIEdK-12 across Asia, serving as a foundation for future research. Practically, it guides educators, policymakers, and stakeholders in integrating AI tools into classroom practices, designing AI-competent curricula, and promoting professional development for teachers. Emphasizing AI literacy from an early age and addressing research disparities in developing regions are crucial for equitable AI integration.
Enterprise Process Flow
| Rank | Country/Territory | Publications (NP) | Total Citations (TC) | Avg Citations/Article (AAC) |
|---|---|---|---|---|
| 1 | China | 180 | 1854 | 10.30 |
| 2 | South Korea | 67 | 934 | 13.94 |
| 3 | Hong Kong | 62 | 1949 | 31.44 |
| 4 | Taiwan | 45 | 1014 | 22.53 |
The Chinese University of Hong Kong: A Leader in AIEdK-12
The Chinese University of Hong Kong stands out as the most productive institution, with 60 publications since 2020. Their early work, such as a 2020 publication in Sustainability, received 165 citations and focused on teachers' perspectives on AI curriculum design. This highlights their strategic focus on integrating educational psychology with AI curriculum development. Key authors like T.K.F. Chiu and C.S. Chai, both affiliated with the institution, are among the most prolific and cited in the field, further solidifying the university's pivotal role in advancing AIEdK-12 research in Asia.
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