In 2025, DeepSeek has triggered a global transformation in the artificial intelligence (AI) ecosystem, with advanced AI technologies such as language models, multimodal models, and intelligent agents fully empowering educational innovation and deeply integrating into the entire teaching process of lesson preparation, coaching, and evaluation. Taking digitalization of education as a breakthrough point, opening up new tracks for educational development, shaping new advantages for development, has become a question of the times that must be answered in the construction of an educational powerhouse. Under the promotion of the national education digitalization strategy, normal universities, as the main battlefield for basic education teacher training, not only need to enhance the digital literacy of normal students, but also undergo systematic changes in training objectives, professional structure, curriculum system, education mode, and teaching resources. With a holistic change mindset, they aim to construct a teacher education system with Chinese characteristics and cultivate high-quality, professional, and innovative outstanding teachers who can adapt to and lead the new technological revolution. Updating training objectives to shape the new connotation of outstanding teachers in the AI era. In the traditional industrialized society, teachers are the disseminators of knowledge, spreading knowledge and skills through established courses. The evaluation of teaching effectiveness mainly focuses on the achievement of predetermined goals and students' mastery of knowledge and skills. The corresponding teaching mode is mostly dominated by "indoctrination practice testing", and the early application of information technology mainly serves to improve the efficiency of knowledge dissemination. In this context, the training objectives of normal universities focus on three levels: shaping professional ethics and educational sentiment, mastering systematic disciplinary knowledge, and acquiring basic teaching skills. However, AI technology, with its massive knowledge reserves, efficient data processing, and convenient knowledge dissemination methods, is profoundly changing the education ecosystem. In traditional teaching, the emphasis on imparting and testing knowledge and skills is easily replaced by AI, making it increasingly important to cultivate students' humanistic literacy, critical thinking, and innovative abilities. The role of teachers needs to shift from being a single knowledge disseminator and moral preachers to being facilitators of students' thinking development, guides of sound personality, and shapers of core values. Therefore, the training objectives of normal universities should also be iteratively upgraded. One is to strengthen the guidance of values and adhere to the fundamental task of cultivating virtue and talent. Teachers trained by normal universities should not only enable students to master AI tools and digital skills, but also be guided by a sense of social responsibility and the pursuit of meaning, guiding students to use AI to solve practical problems, stimulate innovation potential and social responsibility. This is in line with the fundamental requirements for talent cultivation in the construction of an educational powerhouse. The second is to promote the deep integration of "education+AI" and innovate teaching cognition. Future teachers need to have solid subject knowledge and educational theory foundation, as well as proficient use of AI to analyze learning situations, insight into students' personalized needs, create challenging real-life task scenarios, and guide students to use AI as a cognitive tool for in-depth exploration and knowledge construction. The third is to focus on cultivating "disciplinary intelligence" and enhancing core competencies. Subject intelligence "refers to an individual's ability to use the unique thinking and methodology of a particular subject to solve complex problems, create new knowledge, and form profound understanding and insights. It is an organic unity and advanced form of disciplinary knowledge, disciplinary thinking, and disciplinary practical ability. It is an essential core literacy for innovative talents and a key factor for individuals to achieve comprehensive development and self transcendence. Refactoring the professional system lays a new foundation for teacher training. Traditional teacher education is based on the demand for subject specific teaching in basic education, with subject specific majors and educational psychology majors as the main focus. After higher education entered the stage of popularization, normal universities began to add non normal majors and move towards comprehensiveness. However, the setting and adjustment of majors did not fully respond to the new requirements of basic education for future teachers' core competencies. There are problems such as insufficient engineering application majors, late start, insufficient accumulation and teaching staff of cutting-edge interdisciplinary majors such as artificial intelligence, and insufficient depth and breadth of interdisciplinary integration. Faced with the challenges and opportunities of the AI era, basic education has focused on cultivating the core competencies of primary and secondary school students in the future, exploring interdisciplinary themed project-based learning, AI popularization education, etc., to enable students to master the key abilities and essential qualities necessary for the digital age. Normal universities need to strategically restructure the existing teacher education system and cultivate outstanding teachers who can lead the future direction of basic education reform. One is to optimize the professional ecosystem and strengthen the layout of emerging fields. Normal universities must break down professional barriers and build a dynamic balance and mutually empowering new professional ecosystem consisting of "core artificial intelligence professional group+basic education discipline professional group that strengthens digital literacy+engineering technology practice professional group that meets industry needs+educational psychology discipline professional group that supports educational innovation", in order to enhance the AI literacy, data literacy, and engineering technology application capabilities of future teachers. The second is to promote the integration of "disciplines+AI" and achieve the digital upgrading of traditional majors. Promote the deep integration of AI technology with traditional teacher education majors, innovate educational concepts, teaching content and methods, and promote the intelligent, personalized and advanced development of majors. The third is to establish the concept of "integrating disciplines" and innovate the paradigm of talent cultivation. Beyond the traditional binary structure of "education+subject content", establish a new paradigm of integrating disciplines into education, technology, and subject content. Through knowledge exchange, integration of theory and practice, and project driven cross-border learning, achieve the integration and cultivation of subject specific knowledge, educational teaching knowledge, and technology application knowledge for teacher education students, and provide talent support for the Chinese characteristic teacher education system. Normal universities should establish a modern professional system that is diverse and integrated, with equal emphasis on technology and humanities, and deep integration of artificial intelligence with subject education and engineering practice, to cultivate students' interdisciplinary thinking and innovation abilities. The construction of innovative curriculum architecture and the development of teachers' core competencies are key to implementing the new goals and professional construction of teacher education in the AI era. Firstly, we need to establish a new curriculum system that integrates general education, disciplinary expertise, teacher education, and cutting-edge cross disciplinary integration. This will strengthen the construction of core competencies such as AI ethics, critical and innovative thinking, and interdisciplinary research methods, laying the foundation for the comprehensive development of teacher trainees. The second is to layout the "Education+AI" characteristic curriculum group, in response to national strategies and policies. Normal universities should fully leverage the advantages of interdisciplinary studies, research the laws of students' cognitive and emotional development, develop AI education curriculum resources covering various stages and levels, cultivate backbone teachers who understand technology and are proficient in education and teaching, and help cultivate the innovative potential of young people. The third is to deepen the construction of "X+AI" cross disciplinary courses and drive the transformation of teaching modes. On the one hand, we will promote the integration of "subject teaching+AI" curriculum, enhance the ability of teacher trainees to use AI to carry out specific subject teaching, and effectively cultivate students' subject core literacy and deep exploration ability. On the other hand, we will strengthen the "Teacher Education+AI" series of courses, allowing teacher trainees to integrate AI into the entire process of teaching design, learning analysis, and educational evaluation, and carry out personalized teaching, precise guidance, and intelligent learning. The fourth is to strengthen the construction of cutting-edge leading courses and expand the perspective of educational innovation. Guide teacher trainees to understand the core ideas and methodologies of the discipline, strengthen the learning of emerging interdisciplinary fields such as neuroscience, cognitive neuroscience, and learning science, reveal learning laws, and promote the scientific development of subject teaching and the psychological integration of teaching and learning. Optimizing the education model and activating new driving forces for teacher development. With the rapid iteration of information technology, China's education informatization has entered a new era of education digitization driven by big data and intelligence. Generative AI and other technologies endow machines with multimodal perception, deep reasoning, and content creation capabilities, enabling human-machine collaboration and intelligent enhancement. In the educational ecosystem of "digital intelligence creation", normal universities need to reflect on and optimize the traditional education model, and activate the driving force for future teacher development. Firstly, deepen the integration of industry and education and multi-party collaboration, and build a new pattern of open and integrated education. The cultivation of normal students needs to be upgraded from the traditional "university government primary and secondary schools" collaborative model to a "university government primary and secondary schools technology enterprise" multi-party collaborative system. Normal universities should cooperate with top AI enterprises and research institutions to jointly build technology research and development, educational application incubation, and teacher training bases, integrate AI achievements into the entire process of teacher training, achieve organic connection between the education chain, talent chain, industry chain, and innovation chain, and promote the integration and innovation of AI technology and education. Secondly, reshape the paradigm of curriculum education and move towards a new realm of "digital intelligence creation". Curriculum education has shifted from "information technology empowering teaching" to "digital technology driving educational creation", building a smart educational environment, cultivating a new teaching and learning culture of human-machine collaboration, and promoting the integrated development of advanced thinking, innovative spirit, and value shaping among teacher trainees. Normal universities need to restructure their teaching processes, vertically forming a closed loop of online and offline integrated teaching that includes personalized pre class preparation, interactive exploration during class, and intelligent tutoring and evaluation after class; Horizontally shaping a new form of teaching centered on learners, where teachers, AI, and students interact and collaborate, utilizing intelligent learning companions, virtual mentors, and other tools to achieve human-machine collaboration; Innovate teaching methods, carry out personalized, adaptive, project-based, and inquiry based intelligent teaching activities, support higher-order cognitive tasks and generative learning; Innovate the education evaluation system, rely on big data and AI to establish a diversified, process oriented, and developmental evaluation mechanism, and achieve precise education. Strengthening support and ensuring the consolidation of the foundation of the teacher education reform system. To ensure the effective implementation of reform measures, normal universities must build a multidimensional support and guarantee system: firstly, innovate the governance system and optimize the institutional environment. Build a modern university governance system, establish evaluation mechanisms and incentive policies that encourage "smart teaching, smart learning, smart research, and smart management", enhance teachers' digital literacy and AI application capabilities, and strengthen the level of digital governance in schools. The second is to build intelligent infrastructure and create a digital base. Coordinate the construction of a smart management platform, teaching environment, learning space, and research system for the entire school, build a stable and secure digital foundation, promote the sharing of computing and data resources, and form a software and hardware ecosystem. The third is to develop core digital resources and focus on education specific large models. The focus of resource construction has shifted towards high-quality digital education resources, especially in the research and development of education specific large models and intelligent agents. Normal universities have the advantage of teaching data resources, develop educational models that serve the professional development of teachers and the diverse learning of students, and play the role of intelligent mentors and learning companions. The fourth is to strengthen organized scientific research and lead educational innovation. Establish key AI education laboratories and other platforms, jointly build AI education reform experimental zones with local governments, primary and secondary schools, and enterprises, support interdisciplinary teams to conduct forward-looking research on AI education curriculum development, intelligent teaching mode innovation, etc., and contribute wisdom and solutions to the construction of an education powerhouse. (New Society)