别让AI的信息茧房困住青年实践的步伐

Group 1 - The core viewpoint emphasizes the evolution of university students into "AI citizens" equipped with AI literacy and collaboration skills, moving beyond being mere "digital nomads" [1] - The convenience of AI tools can lead to a "cognitive comfort zone," where students may feel they have a comprehensive understanding but lack real-world application [1] - AI's ability to provide extensive data and analysis can create information saturation, resulting in a "virtual framework" that hinders proactive exploration and hands-on experience [1] Group 2 - The significance of social practice in the AI era is highlighted, with universities engaging in meaningful projects that apply digital technology to real-world challenges [2] - Examples include a practice team from Fujian Agriculture and Forestry University providing support for the first "One Person Company" conference and addressing sales issues in agricultural products using AI tools [2] - Students reported a transformation from "classroom learners" to "rural builders," realizing that grassroots solutions are found through direct engagement rather than algorithms [2] Group 3 - The relationship between knowledge acquisition and practical experience is emphasized, with AI serving as a tool for efficient learning before engaging in social practice [3] - True growth occurs through hands-on experience, allowing students to correct cognitive biases and develop practical skills [3] - The future demands that youth maintain the principle of "practice leads to true knowledge," ensuring that AI supports practical efforts and that practice refines AI's understanding [3]