人工智能赋能高校劳动教育创新发展的现实路径

Core Insights - The integration of artificial intelligence (AI) is transforming labor education in higher education, shifting from skill transmission to fostering digital literacy, innovative thinking, and complex problem-solving abilities [1][2][11] Group 1: Goals of Labor Education - The core value of labor education is being redefined in the AI era, moving away from merely mastering skills to understanding the fundamental significance of labor in human societal development [2][11] - Labor education is evolving to address complex real-world challenges, emphasizing the importance of creative labor and human decision-making in automated environments [2][11] Group 2: Structural Transformation of Labor Skills - Labor skills are transitioning from singular skills to a composite competency structure, necessitating a focus on innovation, information literacy, collaboration, critical thinking, and lifelong learning [3][11] - Traditional labor education, which focused on specific operational skills, is being replaced by a curriculum that prepares students for a diverse range of tasks in an automated and intelligent workforce [3][11] Group 3: Implementation Pathways for Labor Education - Labor education is undergoing an intelligent upgrade driven by data, moving from traditional in-person instruction to a hybrid model that combines online and offline learning environments [4][11] - AI technologies enable the creation of immersive learning experiences through virtual simulations and real-time feedback mechanisms, enhancing the quality and accessibility of labor education [4][5][11] Group 4: Intelligent Support in Labor Education - AI facilitates the development of personalized learning paths based on individual student data, allowing for tailored educational experiences that address specific weaknesses and enhance potential [6][11] - The integration of AI in labor education supports the creation of a symbiotic relationship between humans and machines, transforming the roles of educators and students in the learning process [7][11] Group 5: Data-Driven Management and Improvement - AI technologies enable precise data collection and analysis, allowing for real-time monitoring of student performance and providing actionable insights for educators [9][10] - The generation of personalized development reports and improvement plans based on comprehensive data analysis fosters continuous optimization of labor education systems [10][11]