Research on the Educational Application of Generative Artificial Intelligence Based on CiteSpace: Hotspots, Trends, and Cross-National Comparisons
Abstract
The transition of generative AI from an analytical to a creative tool is profoundly reshaping global education. This study employs CiteSpace for a scientometric analysis of relevant literature, identifying key research domains—“higher education,” “human-AI collaboration,” and “educational innovation”—and tracing their evolution. A comparative examination of approaches in the UK, US, and Australia highlights international variations in governance, assessment, and pedagogical integration. The analysis details GenAI’s transformative impact on key educational processes (teaching, learning, assessment, tutoring) via its core capabilities, while also addressing associated risks like data privacy, ethical dilemmas, and over-reliance. Concluding with a China-specific perspective, the paper proposes a forward-looking framework emphasizing human-centric principles, robust accountability, sustainable data ecosystems, and synergistic development, offering insights for intelligent education development worldwide.
References
Holmes W, Miao F, 2023, Guidance for Generative AI in Education and Research, UNESCO Publishing.
Miao FC, 2024, Fundamental Controversies and Countermeasures of Generative Artificial Intelligence and Its Educational Application. Open Education Research, 30(1): 4–15.
Wang W, Li YZ, 2024, The Educational Application of Generative Artificial Intelligence Internationally and Reflections. Open Education Research, 30(3): 37–44.
Lu Y, Yu J, Chen P, et al., 2023, Educational Application and Prospect of Generative Artificial Intelligence: Taking ChatGPT System as an Example. Chinese Journal of Distance Education, 43(4): 24–31.
Zhao Y, 2024, How to Regulate the Application of Generative Artificial Intelligence in Scientific Research: Risks and Strategies—Analysis Based on the AI Policies of the European Union and the United States. Modern Distance Education Research, 36(06): 20–29.
Wu LB, Cao YN, Cao YM, 2021, Framework Construction of Artificial Intelligence Empowering Classroom Teaching Evaluation Reform and Technical Implementation. China Educational Technology, (05): 94–101.
Yu SQ, Peng Y, Lu Y, 2019, An AI-Based Educational Assistant System: The Architecture and Functions of “AI Good Teacher.” Open Education Research, 25(01): 25–36.
Yan WN, 2024, Progress, Hotspots, and Trends of Science Popularization Journal Research in China: A Visual Analysis Based on CiteSpace Knowledge Mapping. Chinese Journal of Scientific and Technical Periodicals, 35(02): 163–170.
Wang W, Zhao S, Huang MX, 2024, The Humanistic Pursuit of Innovative Application of Generative Artificial Intelligence in Education: Interpretation of UNESCO’s “Guidance for Generative AI in Education and Research.” Modern Distance Education Research, 36(01): 3–11.
Shen Y, Fang S, Liu C, et al., 2024, Governance of Generative Artificial Intelligence in Educational Applications: Cases and Reflections. Open Education Research, 30(06): 39–47.
Liu B, Nie X, Wang S, et al., 2024, Generative Artificial Intelligence and the Reshaping of the Future Educational Landscape: Technological Framework, Capability Characteristics, and Application Trends. E-education Research, 45(01): 13–20.
Tong H, Yang Y, 2024, Exploring the Potential and Risks of Generative Artificial Intelligence in Education Based on the Theory of “Moralization of Technology.” E-education Research, 45(07): 12–18.
Liu C, Li Y, Wang Y, 2024, Ethical AI for Good: Governance Strategies for the Application of Generative Artificial Intelligence in Education Abroad. Chinese Journal of ICT in Education, 30(10): 54–62.
Ke Q, Mi Q, Bao T, 2024, The Application of Generative Artificial Intelligence in Basic Education: Opportunities, Risks, and Countermeasures. Modern Educational Technology, 34(09): 5–13.
Wang S, Tang Q, Yang Q, 2024, An International Observation on the Educational Application of Generative Artificial Intelligence: Challenges, Responses, and Implications. E-education Research, 45(05): 106–112 + 120.
Zhang L, Zhou L, Zhao L, 2023, Risks and Mitigation of Generative Artificial Intelligence in Educational Applications: A Perspective from Educational Subjectivity. Open Education Research, 29(5): 47–53.
Zheng Y, Wang C, Zhang W, 2024, Generative Artificial Intelligence in Education: Applications and Governance. China Educational Technology, (05): 114–119.
Lan G, Du S, Song F, et al., 2023, Generative Artificial Intelligence in Education: Key Controversies, Promotion Methods, and Future Issues—Reflections on the UNESCO’s “Guidance for Generative AI in Education and Research.” Open Education Research, 29(6): 15–26.
