Core Insights - The integration of AI technology in higher education is transforming teaching methods and enhancing student engagement, leading to a more interactive and effective learning environment [1][2][4] Group 1: AI Applications in Education - The "Shennong Bai Xiao" model developed by China Agricultural University utilizes AI to make agricultural education more engaging and interactive, addressing the issue of low student motivation in traditional classrooms [2][3] - The "Xi Dian Zhi Ping" system from Xi'an University of Electronic Science and Technology offers personalized growth services for students, shifting the evaluation paradigm from assessment to support [3][4] Group 2: Challenges and Solutions - Despite the promising results of AI in education, challenges remain, including resistance from educators accustomed to traditional teaching methods and the need for better training in AI tools [4][5] - Data privacy and ethical concerns regarding AI usage in education highlight the need for improved governance and collaboration mechanisms within educational institutions [5][6]

Core Insights - The integration of AI technology in higher education is transforming teaching methods and enhancing student engagement, leading to a more interactive and effective learning environment [1][2][4] Group 1: AI Applications in Education - The "Shennong Bai Xiao" model developed by China Agricultural University utilizes AI to make agricultural education more engaging and interactive, addressing the issue of low student motivation in traditional classrooms [2][3] - The "Xi Dian Zhi Ping" system from Xi'an University of Electronic Science and Technology offers personalized growth services for students, shifting the evaluation paradigm from assessment to support [3][4] Group 2: Challenges and Solutions - Despite the promising results of AI in education, challenges remain, including resistance from educators accustomed to traditional teaching methods and the need for better training in AI tools [4][5] - To promote the integration of AI in higher education, it is essential to improve data governance and privacy protection, establish a value-filtering mechanism for AI applications, and strengthen institutional frameworks [6]