AI如何赋能教育创新？“语文整体改革”项目年会现场探讨

Core Insights - The article discusses the transformation of Chinese language education from a "knowledge-based" approach to a "competency-based" model, driven by advancements in artificial intelligence and the implementation of new curriculum standards [1] Group 1: Conference Overview - The conference titled "Unit-Based Teaching Model Under Core Competency Guidance" was held in Guangzhou, attracting nearly 400 participants including education officials, researchers, principals, and frontline teachers [1] - The theme of the conference focused on reconstructing classroom logic through large unit task teaching and leveraging AI technology to enhance overall competency [1] Group 2: Expert Contributions - Expert Yang Chunsheng highlighted five characteristics of project-based learning, emphasizing the importance of student engagement and the process over grades [2] - Yang cited a Stanford University report indicating that 87% of college students rely on AI for problem-solving, which undermines their ability to build logical knowledge chains [2] - He also pointed out that the human brain loses 12 trillion neural connections annually, and the reliance on AI has led to an 87% repetition rate in solutions, compared to 31% in the pre-AI era [3] Group 3: Teaching Innovations - The conference showcased innovative teaching methods, including game-based tasks to stimulate early literacy among young students, presented by teacher Liu Jia from Guangyun Foreign Language School [5] - The "unit-based" teaching model integrates literacy, writing, reading, and expression, utilizing AI to optimize teaching processes and support students' core competency development [6] - Various teachers presented exemplary lessons, including deep thinking through problem chains and using AI to recreate the emotional context of ancient poetry [6]