生成语法
人工智能
多样性(控制论)
计算机科学
变压器
背景(考古学)
管理科学
工程类
生物
电气工程
古生物学
电压
作者
Yanwei You,Yuquan Chen,Yujun You,Qi Zhang,Qiang Cao
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2023-06-09
卷期号:15 (12): 9355-9355
被引量:17
摘要
As an emerging research area since generative artificial intelligence (represented by Chat Generative Pre-trained Transformer (ChatGPT)) has been accessible to the public, especially in education, appropriate AI application could bring numerous benefits to education; however, its abuse has the potential to be harmful. In this paper, we aimed to explore the potential of AI in the future of education with the analytical method of evolutionary game analysis (EGA). By studying the behavior of two agents, the school and the students, EGA can be used to identify strategies that can be used to improve the effectiveness of the education model in the context of the AI era. A stable evolutionary strategy for the school and students was devised under a variety of scenarios. Additionally, we conducted a numerical analysis to further explore the impact of several key factors on the stable strategy. The results indicated that schools should adopt positive supervision to standardize the use of AI in education, and students should be more active in becoming involved in AI technology. Based on this study, we believe that the school has the ability to provide effective suggestions and practical guidelines to help students succeed academically and embrace future trends in AI education.
科研通智能强力驱动
Strongly Powered by AbleSci AI