4月10日，廣東省人民政府新聞辦公室、廣東省教育廳舉行廣東省推進中小學人工智慧教育新聞發佈會，介紹《廣東省中小學教師人工智慧素養框架(試行)》《廣東省中小學生人工智慧素養框架(試行)》《廣東省中小學人工智慧課程指導綱要(試行)》等文件相關情況，標誌著人工智慧教育正式進入廣東省中小學課堂。這一政策的出臺，不僅是對國家教育戰略的落實，也是對廣東省教育現代化的進一步推動。人工智慧教育的核心目標是培養學生的技術素養、創新能力和解決實際問題的能力，同時注重減輕學生課業負擔，避免教育技術化的單一化傾向。

In this context, Shanhai School in Yantian District, Shenzhen, as a pilot school for AI education in Guangdong Province, actively explores AI education models suitable for primary and secondary schools. As one of the five attendees and the only representative of Shenzhen Education, Wang Shuhong, principal of Shanhai School in Yantian District, Shenzhen, answered questions from reporters.

Generate student portraits through big data of learning behaviors, and use radar charts to present aesthetic power

As one of the five attendees and the only representative of the principal in the province, Wang Shuhong, principal of Shanhai School in Yantian District, Shenzhen, answered questions from reporters.

For the question of "how to evaluate students' learning of artificial intelligence, and how to achieve the educational goals of artificial intelligence without increasing students' homework burden?" This issue. Wang Shuhong said that all technology and data are for the development of people, and for the change of core literacy and learning methods. In the process of promoting artificial intelligence education, Shanhai School has always adhered to the concept of literacy-oriented, reducing burden and increasing efficiency, and making growth visible, focusing on participation, collaboration and innovative thinking, and adhering to the principles of "three noes" and "three looks" in the evaluation of artificial intelligence education, that is: not only scores, no exams, no rankings, but also the growth process, practical innovation, and social value, which we implement through the following dimensions.

The first is dynamic evaluation, so that growth is visible. Relying on the self-developed AI Chuangxiang Tree Cloud Platform, digital portraits of students are generated through big data of learning behaviors, and the development of core literacy such as aesthetics, collaboration, and innovation is dynamically presented with radar charts. For example, in the process of designing a campus intelligent irrigation system designed by students, big data will automatically record and transform quantifiable literacy goals into the system.

The second is to motivate evaluation and make the motivation endogenous. Through the Shanhai AI Bank point system, each AI practice activity that students participate in is converted into growth points. For example, the programming and tidying game created by the first-grade children and the game wall designed by the second-grade children have become a reality. "This sense of accomplishment and meaning is far more lasting than test scores."

The third is resource support to achieve a "personalized" growth path. Relying on the provincial platform, promote personalized learning, support students to meet the needs of different learning levels, use graphical coding and low-code tools, lower the technical threshold, and do not require students to spend a lot of time learning principles and programming code.

Wang Shuhong said that as Mr. Tao Xingzhi said, "education is life", Shanhai School has always adhered to the empowerment of technology, not to increase the burden, but to make learning closer to real life, and the improvement of literacy is not mechanical training, but to awaken the life momentum of each student's innovation.

Carry out interdisciplinary thematic learning months Labor class to assemble smart irrigation systems

For the question "As the principal of a school that is conducting AI general education, how is your school's class time arranged in AI education?" How can I make sure that teachers are meeting the requirements?" Wang Shuhong said that in order to ensure the popularization of artificial intelligence, it is necessary to plan systematically and step by step. Shanhai School is driven by the two-wheel drive of "stepwise training" and "ecological support" to build an artificial intelligence education system of "interdisciplinary integration, interdisciplinary integration, and scene extension".

Regarding the arrangement of class time, Shanhai School mainly grasps three keys: as a nine-year consistent school, it must first adapt to the school period and make breakthroughs in stratification. In primary school, students are guided to perceive the application of AI in life through 1-0 class hours of AI science popularization activities, interactive games, and scientific and comprehensive practical courses every school year. In junior high school, we will strengthen ability improvement and innovative practice, and set up compulsory modules in grades 0-0, with 0 class hours every two weeks, focusing on the basic principles and tools of AI, so as to improve students' AI application ability.

The second is to break boundaries and integrate across disciplines. We insist that "AI is by no means an island, not a simple grafting of technology", and we want students to enhance their creativity in solving real problems and learning across disciplines. In daily subject teaching scenarios, AI can be selectively empowered in pre-learning, exploration, and creation. Each semester, an interdisciplinary thematic learning month is held to allow students to continuously immerse themselves in deep thinking, collaborative inquiry, and design innovation, where AI can be used intensively and continuously. For example, in mathematics class, algorithms are used to optimize garbage classification paths, intelligent irrigation systems are assembled in labor classes, and big data is used to analyze the evolution of civilization in history classes, so as to truly realize learning by doing and learning.

The third is the flexible teaching extension scenario. Adopting the 20:0:0 model, if 0% basic teaching, 0% interdisciplinary project practice, then 0% is science and technology research, students will walk into the BGI laboratory around Yantian and other scenes to immerse themselves in the experience, stimulate students' imagination and creativity, and let students with different specialties find their own track. For example, the Chinese and English electronic check-in map developed by the seventh grade students of Shanhai School last year uses AI to solve real community problems in the surrounding world.

Held a national seminar on AI empowerment of school change, and 8 teachers shared new AI classrooms and cases

According to reports, regarding the guarantee of teachers' ability, Shanhai School mainly focuses on three breakthroughs: first, targeted training, so that teachers can teach. Through expert-led training, peer-to-peer training, experiential training, etc., we continue to carry out compulsory AI general education courses for teachers to master the use of basic tools. Key subject teachers participated in AI+ subject workshops to improve teachers' AI skills in an all-round way.

The second is to escort resources so that teachers can teach well. Establish a dual tutor system, composed of a team of doctoral supervisors from colleges and universities and the chief AI officer of the university, to provide companion guidance, connect with experts at any time, and solve technical and teaching problems. We have established an AI academic community to lead practice with topics, build an AI teaching resource library, provide toolkits and interdisciplinary teaching case collections, realize human-machine collaboration through the "interdisciplinary three questions" design platform, carry out primary teaching design, and realize the integration of teaching and evaluation through the Chuangxiang Tree Cloud Platform.

The third is the mechanism of navigation, so that teachers can teach. Establish a mechanism for human-machine collaboration and interdisciplinary collaboration between teachers in schools, and regularly build an AI teaching display platform for teachers. Let teachers' practice have a sense of accomplishment and value. Just two weeks ago, we held a national seminar on AI-empowered school transformation in Shanhai School, and 8 teachers shared and demonstrated new AI classrooms and cases, which greatly mobilized the internal drive of teachers to innovate.

Wang Shuhong said that artificial intelligence education is not a simple technology teaching, but a revolution in thinking, so that teachers can grow from AI consumers to AI education designers, so that students can advance from technology experiencers to innovation leaders.

Written by: Nandu reporter Xie Yuelei

Drafting: Chen Xin (i.e. Dream AI)