The current application of AI in the field of education has begun to show results, and it may have certain advantages in improving teaching efficiency, optimizing learning experience, and promoting educational equity. But behind the booming development trend, there are still many problems to be solved. Since the start of the spring semester, news of artificial intelligence (AI) entering education has spread in many parts of the country. Recently, according to the Beijing Municipal Education Commission, the first batch of 11 AI application scenarios will be developed in primary and secondary schools, and the cultivation and construction of 7 "Jingwa" intelligent agents will be launched. In the first week of school, Chengdu announced the first batch of pilot schools for "artificial intelligence+teaching" in primary and secondary schools. Some schools conducted in-depth research at a certain technology company to promote the implementation of "education+AI" in real-life scenarios. During this year's National People's Congress and Chinese People's Political Consultative Conference, the deep integration of AI and education has become a hot topic of discussion. At the first "ministerial channel" of the Third Session of the 14th National People's Congress, Huai Jinpeng, Minister of Education, answered the first question related to AI. He said, "In history, every major technological revolution and industrial transformation has put forward particularly important demands for society, especially for education, so it is also a major opportunity for education reform and development." Several experts told reporters that the current application of AI in the field of education has begun to show results, and it may have certain advantages in improving teaching efficiency, optimizing learning experience, and promoting educational equity. But behind the booming development trend, there are still many problems to be solved. The application of AI in basic education is still controversial, and the penetration of AI in the field of education is not a new topic. From "Is using AI to do homework a helper or a gunner" to "How to empower education with AI", DeepSeek has arrived with a sweeping trend this year, making everyone realize that this proposition is unavoidable. The reporter learned from iFLYTEK that during the NPC and CPPCC sessions this year, Liu Qingfeng, a deputy to the National People's Congress and chairman of iFLYTEK, made two proposals related to "AI+education". He mentioned that the construction of AI applications in China's basic education stage mainly relies on the allocation of funds for educational informatization. At present, the per capita funding is limited and the expenditure structure is relatively traditional, making it difficult to support the development and application of AI teaching. He suggested that through policy guidance, the proportion of AI investment in per capita public expenditure should be increased, and intelligent teacher assistants, AI course development, etc. should be included in the scope of per capita public expenditure support. Enterprise resources should be introduced to support schools in carrying out AI education and research projects. In fact, there are many enterprises and scholars who support the expansion of AI applications in basic education, which also has sufficient policy basis. In January of this year, the Central Committee of the Communist Party of China and the State Council issued the "Outline of the Plan for Building an Education Strong Country (2024-2035)", which clearly requires opening up new development tracks and shaping new development advantages through digital education. One of the most important points is to promote AI to assist in educational reform. Yao Kai, Director of the Global Science and Technology Innovation Talent Development Research Center at Fudan University, told First Financial reporters that AI is gradually changing the traditional education model. The use of AI can provide personalized learning experiences based on factors such as students' learning behavior, preferences, and ability levels. At the same time, the integration of AI technology can significantly improve the efficiency of teaching interaction, effectively build an interactive learning environment, and capture students' questions, interests, and course participation in real time for rapid feedback. In Yao Kai's view, to meet the requirements of talent cultivation in the AI era, the first step is to build a corresponding curriculum and textbook system, promote teaching reform, and effectively transform the talent cultivation mode of schools. Specifically, we need to focus on the requirements of the AI era for high-quality talents with comprehensive development, restructure courses, enrich textbook types, enhance textbook adaptability, and make full use of various intelligent devices to combine online and offline learning, centralized and decentralized learning, classroom learning and venue learning, and other learning forms to create an educational model that is more suitable for the characteristics of each student. In an ideal mode, students can use the knowledge base and learning resources anytime and anywhere according to their own learning plan, breaking the limitations of time and space Yao Kai said. It is worth noting that compared to these obvious advantages, the hidden concerns brought by AI are gradually being discovered and worried by the industry. Some educators have proposed to ensure the appropriate, moderate, and harmless use of digitalization in education, regulate the usage rights of minors, and control the usage time and content scope. Chu Chaohui, a researcher at the China Academy of Educational Sciences, told reporters that some technology giants have entered the education system to strengthen the empowerment of new technologies in education and teaching, providing a good foundation for the digital transformation of education software and hardware. At the same time, advocating the use of digitalization to achieve "digital intelligence" and "digital governance" in education has also weakened some basic educational concepts, and some drawbacks are easily overlooked. He proposed that people's current understanding of the potential harm that AI may bring to education should not only focus on superficial aspects such as copying answers, writing papers, and becoming tools for students to cope with homework or cheating on exams, but also pay more attention to deeper phenomena such as excessive digitization, one-way digitization generating passive personalities, isolated personalities, and "virtual clans" with incomplete intelligence. While AI provides personalized assistance to students, it also deprives them of the right to explore and choose independently. At the same time, teacher's fixed teaching may become the "spokesperson" for the AI model. At present, these deep-seated issues have not received sufficient attention and there is a lack of feasible and effective solutions. The advanced and efficient use of external tools cannot replace the effectiveness of individual intelligence and personality growth. In the face of AI, the question of whether to use it, how much to use it, and how to use it should be decided independently by the specific education parties, and the decision-making and choice rights should be returned to each specific party Chu Chaohui said. Chu Chaohui stated that this year is an important year for the education industry, and both inside and outside the industry hope to further promote high-quality, inclusive, and fair education. How to deeply implement the national strategy of building a strong education country, more effectively adapt education to the development of the economy and society, solve the problems of unbalanced and insufficient development, and enhance the universality, accessibility, and convenience of public education services will be a long-term issue in China's education reform. Compared to the controversy over the replacement and improvement of vocational education by AI, the application of AI in vocational education is relatively smooth. An undeniable background behind this is that more and more social resources are tilting towards vocational training in order to bridge the gap between education and employment. This year's government work report proposes to launch a large-scale vocational skills training campaign to increase the supply of scarce skilled talents in the manufacturing and service industries. At the press conference on the theme of people's livelihood during the National People's Congress and the Chinese People's Political Consultative Conference, Wang Xiaoping, Minister of Human Resources and Social Security, further stated that China will implement the "Skills Illuminate the Future" training action, subsidizing vocational skills training for more than 10 million people annually for three consecutive years starting from this year. Yi Dinghong, founder and CEO of Huatu Education, a well-known vocational education and training institution in China, told reporters that according to previous research, many high-end manufacturing industries in China now have a high demand for high-level technical workers. In the service industry, there is also a large shortage of manpower in the fields of medical care and elderly care. New formats and models such as digital economy and low altitude economy generally lack skilled talents. When it comes to the impact of AI technologies such as DeepSeek, Yi Dinghong believes that healthcare and education will be the first application scenarios to be implemented. Compared to medical technology, the fault tolerance rate of education and training is relatively high, and there is still room for correction if errors occur. At the same time, education is guided by imparting knowledge, and AI is usually more comprehensive than human knowledge. Therefore, we established a dedicated artificial intelligence department last year to organize a professional team to actively try and layout this application From a practical perspective, Yi Dinghong has found that AI can be applied in various aspects of vocational education and training, such as course planning, job application guidance, and teaching and research. Like grading exam papers, in the past, technology could only grade objective questions from students, but now grading subjective questions and even interview reviews can be done by AI. The manpower freed up from this can be more invested in course development. At the same time, students can also use these tools to conduct real-time assessments, greatly reducing feedback time. However, due to the immaturity of current AI technology, including AI "illusions," some deviations and misleading information can also become a learning problem in the field of vocational training. For example, AI can mimic books and web pages to create false sources of information, while also fabricating data that is not available in databases. Our current approach is to use multiple artificial intelligence models to mutually verify and promptly detect and correct errors. This principle is similar to college entrance examination grading, where a question is graded by two teachers simultaneously. If there is a significant difference in grading, the question will enter the third evaluation stage. If consensus cannot be reached yet, this question will enter the quality inspection arbitration stage. Although this method is foolish, it can greatly reduce the error rate Yi Dinghong said. In Yi Dinghong's view, the role of AI in vocational education and training can be divided into two categories: one is to replace, and the other is to improve efficiency. This means that it cannot completely replace the work of teachers yet, as the advantages of both parties differ - in data related work, AI is superior; But in the fields of innovation and emotion, humans are superior to artificial intelligence. At the same time, general administrative work is constantly being replaced by AI, and the future vocational education and training industry will pay more attention to cultivating students' comprehensive qualities, especially in building logical thinking, improving learning abilities, and leadership skills. Yao Kai stated that the current explosion of AI has brought certain challenges to traditional employment, with the most direct impact being the replacement of some repetitive and regular positions, which has also led to changes in the structure of the job market. From an educational perspective, on the one hand, it is necessary to encourage students to develop critical thinking, creative thinking, and problem-solving skills, so that they can engage in innovative work with the assistance of AI, and develop new products, services, and business models. The future work ecology is likely to be a model of collaborative symbiosis between humans, machines, and AI, which requires attention to improving the ability of individuals to work together with AI systems, including understanding the limitations of AI, and the ability to communicate and interact effectively. On the other hand, it is important to focus on cultivating students' interdisciplinary knowledge integration. For example, combining computer science with disciplines such as biology, medicine, and social sciences to cultivate composite talents who understand both technology and domain knowledge, in order to meet the needs of different industries for AI applications. The fast pace of updates and iterations in AI technology requires talents to have the awareness and ability of lifelong learning. Self directed learning and lifelong learning have become increasingly important, and workers in the AI era need to be able to continuously learn new knowledge and skills, and adapt to the career changes brought about by technological changes Yao Kai said. (New Society)