Core Insights - The article highlights the significant advancements in the integration of AI models in education, showcasing their ability to achieve high scores in national exams, marking a transformative phase in the "AI + Education" landscape [1][3]. Group 1: AI Models in Education - AI models have reached or surpassed the level of top teachers, with schools increasingly incorporating intelligent agents into their educational processes [2]. - By 2025, AI models are expected to score an average of 50 out of 60 in Chinese essay writing and over 120 out of 150 in mathematics during the national college entrance examination [3]. - The application of AI in education is evolving from simple assistance to deep involvement in the entire teaching process, enhancing the methods of educational support [3]. Group 2: Innovative Teaching Methods - A scientific education curriculum platform has been established in rural schools, leading to an average score increase of 16-17 points for students, while also transforming traditional learning methods into collaborative inquiry-based learning [4]. - Intelligent agents are set to become a new element in courses, shifting the teacher-student relationship to a triadic interaction involving machines, thus enabling dynamic and personalized course content [5]. - The dual-teacher model, which combines human teachers with AI, is emerging as a prominent teaching method, enhancing resource utilization and educational equity [6][7]. Group 3: Cloud Schools and Learning Centers - The concept of "cloud schools" aims to break physical boundaries in education, facilitating resource sharing and creating a new educational model [8][9]. - Shenzhen's cloud school initiative has evolved through various stages, establishing a community of schools that leverage technology for collaborative learning [10]. - The transition of libraries into learning centers reflects a broader trend towards creating interactive and supportive educational environments, with some institutions adopting AI technologies for personalized learning experiences [11][12]. Group 4: Future Learning Environments - The emergence of intelligent agents is expected to transform learning environments into autonomous, interactive, and immersive centers, altering evaluation and learning methods [13].