Educational Applications Driven by Generative Artificial Intelligence: Connotations, Paths and Future Prospects
Abstract
research hotspot at the forefront of science and technology. It is promoting a brand-new technological innovation in the field of education,
facilitating the transformation of traditional educational paradigms, and leading the development of applications such as personalized learning
and intelligent systems. Generative artificial intelligence reconstructs the production of educational resources, teaching interaction and evaluation systems, but at the same time brings risks such as technical and ethical limitations, and imbalance between legal supervision and social
adaptation. The application of generative artificial intelligence in education should start from the technical foundation, improve humanistic
ethics and privacy protection, strengthen the construction of the legal supervision system, and help reshape and balance the educational ecosystem. By analyzing the current integration status of intelligent technologies, we explore the transformation path for the innovative development of education in the future.
Keywords
Full Text:
PDFReferences
[1] General Office of the Ministry of Education. Notice on Strengthening Artificial Intelligence Education in Primary and Secondary
Schools by the General Office of the Ministry of Education: Jiao Ji Ting Han [2024] No. 32 [A]. 2024-11-18.
[2] Lu Yu, Yu Jinglei, Chen Penghe, et al. Educational Applications and Prospects of Generative Artificial Intelligence: Taking the ChatGPT
System as an Example [J]. Distance Education in China, 2023, 43(04): 24-31+51. DOI: 10.13541/j.cnki.chinade.20230301.001.
[3] Wu Hejiang, Wu Di. Educational Application of Generative Artificial Intelligence: Development History, International Situation and Future Prospects [J]. International and Comparative Education, 2024, 46(06): 13-23. DOI: 10.20013/j.cnki.ICE.2024.06.02.
[4] Wu Di, Li Huan, Chen Xu. Analysis of the Impact of General Large-Scale Artificial Intelligence Models on Education [J]. Open Education Research, 2023, 29(02): 19-25+45. DOI: 10.13966/j.cnki.kfjyyj.2023.02.003.
[5] Zheng Yanlin, Ren Weiwu. Path Selection of ChatGPT Teaching Application from the Perspective of Practical View [J]. Modern Distance Education, 2023, (02): 3-10. DOI: 10.13927/j.cnki.yuan.20230328.002.
[6] Jiao Jianli. ChatGPT: Friend or Foe of School Education? [J]. Modern Educational Technology, 2023, 33(04): 5-15.
[7] Zhu Guanghui, Wang Xiwen. The Operation Mode, Key Technologies and Future Prospects of ChatGPT [J]. Journal of Xinjiang Normal
University (Philosophy and Social Sciences Edition), 2023, 44(04): 113-122. DOI: 10.14100/j.cnki.65-1039/g4.20230217.001.
[8] Liu Sannvya, Hao Xiaohan, Li Qing. A New Paradigm for Educational Research: Artificial Intelligence-Driven Educational Science Research [J]. Educational Research, 2024, 45(03): 147-159.
[9] Chen Xiaoshan, Qi Wanxue. Knowledge Machine Production Mode and New Metaphors of Education [J]. Educational Research, 2023,
44(10): 33-43.
[10] Jin Shenghong. Educational Justice: The Foundational Value of Educational System Construction [J]. Journal of Shaanxi Normal University (Philosophy and Social Sciences Edition), 2011, 40(02): 157-164.
[11] Clifford G. Christians, Liu Moxiao. A New Theory of Justice in the Digital Age [J]. Global Media Journal, 2019, 6(01): 98-102. DOI:
10.16602/j.gmj.20190007.
[12] Zhou Shangjun, Luo Youcheng. Theory of Digital Justice: Theoretical Connotation and Practical Mechanism [J]. Social Sciences, 2022,
(06): 166-177. DOI: 10.13644/j.cnki.cn31-1112.2022.06.006.
DOI: http://dx.doi.org/10.70711/neet.v3i4.6791
Refbacks
- There are currently no refbacks.
