Promote general education on artificial intelligence for the whole society
2025-10-30
Artificial intelligence, as a strategic technology leading a new round of technological revolution and industrial transformation, is profoundly changing the way humans produce and live. General Secretary Xi Jinping emphasized the need to promote education on artificial intelligence throughout all educational stages and general education throughout society, in order to continuously cultivate high-quality talents. Against the backdrop of the deep integration of artificial intelligence technology into education, healthcare, finance, and other fields, promoting general education on artificial intelligence throughout society is not only an important measure to enhance the overall AI literacy of the population and take the initiative in the digital age, but also a key path to sharing the dividends of technological progress and preventing potential risks. We should start with systematic construction, and effectively promote the implementation and deepening of general education on artificial intelligence throughout society through the improvement and innovation of education objects, curriculum, carriers, mechanisms, and guarantee systems. Design hierarchical and classified educational content. The age difference determines the differences in cognitive patterns and learning abilities, while the occupational differences among users determine the different application scenarios of artificial intelligence. To this end, it is necessary to design differentiated educational paths for different groups of people based on the concept of "hierarchical classification, full age coverage, and lifelong growth", and form an artificial intelligence general education paradigm of "everyone wants to learn, everyone can learn, and everyone can learn". For the student population, a hierarchical and progressive gradient training chain should be constructed in accordance with the spirit of documents such as the "Opinions on Accelerating the Digitalization of Education", "Guidelines for Artificial Intelligence General Education in Primary and Secondary Schools (2025 Edition)", and "Guidelines for the Application of Artificial Intelligence in Vocational Colleges". In basic education, the primary school stage should be guided by perceptual enlightenment, cultivating students' interest in artificial intelligence and basic application abilities through fun activities and other means; In junior high school, the goal should be to understand and apply, and through project practice, cultivate students' technical logic and engineering thinking; In high school, projects should be the driving force to cultivate students' systematic thinking and social responsibility through innovative project practices. Vocational education should focus on the application of artificial intelligence technology and vocational adaptation, cultivate skilled talents for related professions or industries, achieve deep integration of artificial intelligence technology and vocational scenarios, and enhance vocational competitiveness. Among them, vocational education should focus on cultivating students' ability to use artificial intelligence technology to complete basic tasks, vocational college education should focus on cultivating students' ability to independently design technical solutions using artificial intelligence tools, and vocational undergraduate education should focus on cultivating students' ability to build innovative business models empowered by artificial intelligence. General higher education should focus on in-depth exploration and interdisciplinary integration of artificial intelligence theory. Through the implementation of AI integrated education, students should be guided to organically integrate AI with their major, and cultivate a group of research-oriented, composite, and application-oriented innovative talents. For occupational groups, an education and training system of "occupational scenarios+artificial intelligence empowerment" can be established, and personalized education can be set up according to the characteristics of different industries. For example, designing a training system that integrates "artificial intelligence+industry" for professionals in healthcare, education, manufacturing, and service industries, such as training courses on intelligent diagnosis and treatment system operation, intelligent teaching assistant tool usage, intelligent quality inspection system operation, and customer behavior intelligent analysis system. For the elderly population, attention should be paid to aging adaptation and transformation. Through easy to understand explanations and demonstrations of intelligent technology application scenarios, we can help them overcome the technological gap in the digital age and achieve "learning and enjoyment for the elderly" in the intelligent age. Build a progressive curriculum system. In order to enhance the artificial intelligence literacy of the entire population, strengthen rational cognition, application ability, and value judgment of artificial intelligence, it is necessary to construct an educational curriculum system that conforms to the laws of public cognition, the needs for advanced abilities, and the progressive development of literacy. Firstly, basic general education courses should mainly focus on the question of what artificial intelligence is. Through online public courses, science popularization, and other forms, they should help the public build a cognitive framework, grasp the basic concepts, development process, application models, main functions, and social impact of artificial intelligence technology. Secondly, skill application courses should focus on "how to use" and provide personalized training on the practical application of artificial intelligence for different groups, helping the public achieve a leap from theoretical cognition to practical application, master the ability of human-computer interaction, and truly serve work and life with artificial intelligence. Finally, the course on thinking and values should focus on "how to standardize usage", using case studies, scenario simulations, and other forms to guide the public to form critical thinking, scientifically distinguish the value, potential risks, and rights and responsibilities of human-machine collaboration, and promote the public's transformation from "knowing how to use" to "making good use of". Create a three-dimensional and diverse educational platform. To avoid some groups being marginalized in the digital wave due to a lack of relevant education and effectively break down barriers to knowledge dissemination, an AI education carrier that integrates online and offline, and combines virtual and real can be built. Actively developing high-quality artificial intelligence general education courses online, through the "online cloud classroom", allowing the public to learn anytime and practice anywhere, forming a universal knowledge dissemination ecosystem; At the same time, using a large model platform to build an intelligent question answering system, answering personalized questions from the public through natural language interaction, and achieving personalized customization of artificial intelligence education. Build diverse artificial intelligence education scenarios offline, achieve social expansion of artificial intelligence education scenarios, and form an immersive and diverse ecosystem for cultivating artificial intelligence literacy among the entire population. Public cultural venues such as science museums, cultural centers, and libraries can actively carry out AI science popularization activities, set up AI interactive exhibition areas, and use AR and VR technology to build immersive learning platforms to achieve concrete experiences of AI knowledge. Community service centers and rural cultural auditoriums can leverage their proximity to the general public to create artificial intelligence learning stations. By equipping simple intelligent devices, regularly organizing artificial intelligence experience activities, and setting up intelligent interactive question and answer systems, people can be exposed to intelligent technology at any time in their daily lives, lowering the threshold for participation and experiencing the charm of technology. Establish a linkage mechanism for academic evaluation integration. In order to stimulate the enthusiasm of the whole nation to learn about artificial intelligence and form a universally accessible artificial intelligence education system, it is necessary to actively establish mechanisms for recognizing learning outcomes and evaluating their effectiveness. In terms of the recognition mechanism for learning outcomes, relying on credit banks to create cross regional, cross scenario, and cross time personal lifelong learning accounts for learners, coordinating learners' learning of artificial intelligence courses, and achieving certification, accumulation, and transformation of achievements in a quantitative form, forming traceable and accumulative artificial intelligence literacy archives. At the same time, a personalized and adaptable credit certification system should be established based on the learning characteristics of different groups. In addition, in order to clarify the development status of artificial intelligence literacy among the general public and make timely adjustments to the relevant curriculum system, teaching carriers, and forms, it is necessary to explore the construction of an effectiveness evaluation mechanism that covers dimensions such as knowledge, skills, thinking, and values. In the effectiveness evaluation mechanism, it is necessary to fully consider the differences among the educational target groups and design differentiated indicator systems for different groups. For example, for student groups, emphasis can be placed on evaluating their understanding of algorithms, data, and other knowledge, as well as their ability to use artificial intelligence to solve learning problems; For professionals, the focus can be on evaluating their ability to use artificial intelligence to solve work problems, as well as the actual output effects of using artificial intelligence in their work. Optimize the guarantee system for multi-party collaboration. Artificial intelligence general education for the whole society is a systematic project, which should fully leverage the leadership of the Party committee and the leading role of the government, build a multi-party linkage, resource complementarity, and long-term operation guarantee system, and lay a solid foundation for the effective implementation of artificial intelligence general education for the whole society. The government should play a leading role in overall planning, improve relevant policies, clarify the standards and evaluation system of general education, and establish special funds to promote the development of educational resources and infrastructure construction. As the main body of technological innovation, enterprises should leverage their advantages in technology, funding, and collaborate to develop AI online training platforms suitable for different industries, actively open up AI application scenarios and smart factories, and provide real and vivid teaching resources for the general public. Universities should fully leverage their intellectual advantages, actively carry out the construction of artificial intelligence general education curriculum system, and promote the integration of artificial intelligence education in primary, secondary, and tertiary schools; Strengthen the cultivation of teaching staff, establish artificial intelligence teacher training bases, build interdisciplinary artificial intelligence teaching teams, and assist primary and secondary school teachers in improving their artificial intelligence literacy. Social organizations such as technology clubs should leverage their cross industry and interdisciplinary intellectual strengths to form a team of science popularization experts to write easy to understand science popularization materials. The media can enhance the dissemination effect by setting up special columns on artificial intelligence science popularization, inviting experts to interpret knowledge, creating short videos, and conducting live broadcasts, creating a strong atmosphere for the public to actively learn about artificial intelligence knowledge. (New Society)
Edit:Momo Responsible editor:Chen zhaozhao
Source:Guang Ming Daily
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