Literature Review on the Role of Generative Artificial Intelligence Technologies in Education

Knowledge Graph-based Visual Analytics

Authors

  • Hongyun Li
  • Ying Yang

DOI:

https://doi.org/10.6918/IJOSSER.202501_8(1).0016

Keywords:

Generative artificial intelligence, ChatGPT, Higher education, CiteSpace.

Abstract

With the continuous development of information technology, artificial intelligence technology represented by generative artificial intelligence will have a far-reaching impact on the field of education. Generative artificial intelligence in classroom teaching has a greater application value for intelligent load reduction and efficiency, and intelligent learning assistance, intelligent return to the humanities, as an innovative technical means, on the one hand, it can provide more efficient and accurate support for education, on the other hand, its emergence has brought more possibilities for education, and provided new paths and solutions for the enhancement of the quality of education, educational efficiency, and educational equity. In this paper, we take "the role of generative artificial intelligence in education" as the theme, search the literature through "Web of Science", and use CiteSpace software to draw the relevant knowledge map: author, institution co-occurrence map, keyword co-occurrence, clustering, etc., so as to explore the development, hotspot, and trend of this research field. Finally, we give our suggestions based on the problems in the research, to provide a basis for the development of this field in the future.

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References

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[7] Hu Jinping, Lv Rui. An analysis of hot topics and trends of research on hearing impaired college students in China - A visual analysis based on knowledge mapping[J]. Journal of Suihua College, 2020, 40(01): 43-47.

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Published

2024-12-11

Issue

Section

Articles

How to Cite

Li, Hongyun, and Ying Yang. 2024. “Literature Review on the Role of Generative Artificial Intelligence Technologies in Education: Knowledge Graph-Based Visual Analytics”. International Journal of Social Science and Education Research 8 (1): 118-27. https://doi.org/10.6918/IJOSSER.202501_8(1).0016.