How Generative Artificial Intelligence Facilitates the Digital Transformation of Educational Models

Authors

  • Qihua Liu

DOI:

https://doi.org/10.54097/a1kpv248

Keywords:

Generative Artificial Intelligence, Education Model, Digital Transformation

Abstract

Generative artificial intelligence (AI) technology is rapidly developing, bringing profound changes to educational models. This study focuses on how generative AI promotes the digital transformation of educational models, deeply analyzing its technical characteristics and its ability to reshape educational models, and revealing the potential applications of this technology in the field of education. By providing personalized learning paths, optimizing the allocation of teaching resources, and enhancing the interactivity and fun of learning, generative AI significantly improves learning outcomes and teaching quality. However, its application in the digital transformation of educational models also faces challenges such as data privacy protection and technological maturity. In response to these challenges, this study proposes corresponding solutions. Through a review of relevant literature, tracking analysis of frontier developments, and examination of educational practice cases, this study aims to provide a solid theoretical basis and practical guidance for the digital transformation of education, in order to drive the process of educational modernization and contribute to cultivating more talents with innovative abilities.

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References

[1] Sun Gangcheng, Hu Xinyi. The basic proposition of generative artificial intelligence to catalyze educational change[J/OL]. Research on Education and Teaching,1-15[2024-11-25]. https: // doi.org/10.13627/j.cnki.cdjy.20241111.001.

[2] Zou Jia Hiei, Rong Weidong. Research status and outlook of generative artificial intelligence-enabled education in China [J/OL]. Journal of Chengdu Normal College,1-8[2024-11-25]. http://kns.cnki.net/kcms/detail/51.1748.G4.20241101.1406.002.html.

[3] Lu GQ, Yang Q, He Xiangchun. The value, challenges and path of generative artificial intelligence-enabled formative assessment in higher education[J]. Research on Electrochemical Education,2024,45(11):84-91.

[4] SUN Lihui, ZHOU Liang. The Logic of Generative Artificial Intelligence Enabling Educational Change - Based on the Perspective of New Quality Productivity[J]. Educational Research,2024,45(10):38-49.

[5] Zhong Bachang, Liu Xiaofan. How and why generative artificial intelligence generates education[J]. Research on Electrochemical Education,2024,45(10):12-18+27.

[6] Wang Yiyi. Research on the potential, risk and response of generative artificial intelligence empowering higher vocational education--Taking ChatGPT as an example[J]. Vocational Technology, 2024,23(10):22-29.

[7] XU Shun, ZHAO Tiehao. The Logical Importance, Risk Perspective and Relief Path of Generative Artificial Intelligence Enabling Vocational Education Talent Cultivation in the Perspective of Education Power[J]. China Vocational and Technical Education, 2024, (27):33-39.

[8] Jia Tong, Cai Jiandong. The change of educational productivity by generative artificial intelligence[J]. Modern Education Technology,2024,34(01):107-116.

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Published

24-02-2025

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Section

Articles