INNOVATIVE PATHWAYS FOR GENERATIVE ARTIFICIAL INTELLIGENCE TO DRIVE DIGITAL TRANSFORMATION IN EDUCATION
Volume 3, Issue 6, Pp 8-12, 2025
DOI: https://doi.org/10.61784/wjes3082
Author(s)
XiaoHong Wang
Affiliation(s)
School of Educational Technology, Northwest Normal University, Lanzhou 730070, Gansu, China.
Corresponding Author
XiaoHong Wang
ABSTRACT
In today's information society, which has entered the digital age, generative artificial intelligence is emerging as a pivotal factor driving the digital transformation in education. This transformation is now evolving into a new phase centered around generative AI, making it a core driver of educational digitalization. With the support of emerging technologies such as generative AI, the seamless transition toward digital education is being realized. The integration of generative AI in the digital transformation of education enables the establishment of new models for personalized talent development, facilitating a shift from the deficit-based education model rooted in the industrial society to a strength-based approach suited for the information society. It also contributes to the optimization of teaching processes, the improvement of instructional and learning behaviors among educators and students, and the enhancement of teaching effectiveness. Furthermore, it supports the co-creation and sharing of high-quality educational resources, promotes educational equity, and fosters the implementation of lifelong learning.
KEYWORDS
Generative artificial intelligence; Digital transformation in education; Intelligent education
CITE THIS PAPER
XiaoHong Wang. Innovative pathways for generative artificial intelligence to drive digital transformation in education. World Journal of Educational Studies. 2025, 3(6): 8-12. DOI: https://doi.org/10.61784/wjes3082.
REFERENCES
[1] Liu Bangqi, Nie Xiaolin, Wang Shijin, et al. Generative Artificial Intelligence and the Reshaping of Future Education: Technical Framework, Capability Characteristics, and Application Trends. Research in Educational Technology, 2024, 45(01): 13-20.
[2] Miao F C, Wayne H. Guidance for generative AI in education and research. Paris: UNESCO, 2023: 1-38.
[3] Miao F C. Principles of Generative Artificial Intelligence Technology and Its Educational Applicability. Modern Educational Technology, 2023, 33(11): 5-18.
[4] Wu Nanzhong, Chen Xianzhang, Feng Yong. From Disorder to Order: The Shift in Generative AI Educational Applications and Its Generative Mechanisms. Journal of Distance Education, 2023, 41(06): 42-51.
[5] Feng Yuhan. The Application Value, Potential Ethical Risks and Governance Pathways of ChatGPT in the Educational Field. Ideological and Theoretical Education, 2023(04): 26-32.
[6] Zhang Li, Zhou Lin, Zhao Leilei. Risks and Mitigation Strategies for Generative AI Applications in Education: An Educational Agency Perspective. Research on Open Education, 2023, 29(05): 47-53.
[7] Gu Xiaoqing, Lu Linmeng, Wan Ping. Paradigm Shift in Educational Research Amidst Digital Transformation in Education. China Distance Education, 2024: 1-11.
[8] Zhao Wenzheng, Zhang Liguo. Digital Transformation Empowering the Modernisation of Chinese Basic Education: Opportunities, Challenges and Countermeasures. Education Theory and Practice, 2024, 44(01): 3-9.
[9] Zhao Leilei, Zhao Yujie, Zhang Li. Ethical Reflections and Risk Mitigation in Educational Technology Amidst Digital Transformation. China Distance Education, 2023, 43(12): 46-58.
[10] Yang Shuping, Su Chaoju, Zhu Xingchen. Ethical Issues and Their Transcendence in Vocational Higher Education's Digital Transformation. Modern Education Management, 2023(10): 106-115.
[11] U.S. Department of Education. Supplement to the National Educational Technology Plan for Higher Education. (2017-01-10) [2023-02-25].
[12] The Office for Students. The Higher Education Strategy 2021 -2024: Powering Higher Education in the UK (2021-03-24) [2023-03-01].
[13] Liu S N Y. The Path of Convergence Development for Artificial Intelligence and Education. Journal of the National Institute of Educational Administration, 2022(10): 7-10.
[14] Xia Lixin. ChatGPT's Multiple Transformations. Journal of the National Institute of Educational Administration, 2023(3): 9-12.
[15] Zhu Zhiteng, Dai Ling, Hu Jiao. New Approaches to Empowering Higher Education Digital Transformation with AIGC Technology. Chinese Higher Education Research, 2023(6): 12-19+34.

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