中国首份小学生群体生成式人工智能素养白皮书发布

Core Insights - The first white paper on generative artificial intelligence literacy for elementary school students in China has been released, focusing on the implications of generative AI on students' cognitive development and learning motivation [1][3] - The white paper is based on empirical research conducted with 8,795 elementary students across 17 schools in 12 districts of Nanjing, highlighting the current state of generative AI application preferences and literacy among students [1][3] Summary by Sections Research Findings - The study reveals issues such as cognitive dependency, weakened learning motivation, and degradation of deep thinking among students due to generative AI [1] - Factors influencing students' literacy include individual characteristics, family support, and school environment, leading to disparities in generative AI literacy [1][3] GenAI Literacy Framework - A GenAI literacy framework is proposed, encompassing dimensions like cognitive understanding, prompt engineering, critical examination, self-regulation, and ethical considerations [3] - The framework emphasizes the role of students as active participants in "human-machine co-creation," expanding the boundaries of information and digital literacy [3] Strategic Recommendations - The white paper suggests strategic predictions and exploratory pathways for the development of GenAI literacy among elementary students, advocating for "precise interventions," "curriculum integration," and "school-community collaboration" [3] - The aim is to transition regional AI education from experience-driven to evidence-driven approaches [3]