I. Strengthen the construction of information literacy of teachers and students to deal with the "zero-point revolution" of education science and technology
Information technology can be called the pinnacle of the industrial revolution, artificial intelligence can go beyond this pinnacle and become the starting point of a new revolution, which can be called the "zero-point revolution". ". Artificial intelligence will dramatically change the way people think, affect their intelligence, and also expand their minds. In the High School Information Technology Curriculum Standards issued in 2017, information awareness, computational thinking, digital learning and innovation, and information social responsibility are listed as the core qualities of the subject, which can also be used as a reference for other subjects.
First, the Ministry of Education, in conjunction with China's National Natural Science Foundation, has strengthened research on information literacy to provide strategic support for the development of digital citizens.
The second is to strengthen the cultivation of teachers' information literacy in the National Training Program, and to improve the IT-supported teaching ability of ordinary teachers.
Thirdly, we are working with the China Computer Society and the Artificial Intelligence Society*** to train 10,000 secondary school IT teachers, so as to effectively improve the professional quality of IT teachers.
The fourth is the extensive development of comprehensive practice courses in information technology, coordinated planning of robotics competitions, multimedia competitions, programming competitions and other information technology competitions, eliminating the "chaos" phenomenon that exists in some competitions, and improving the initiative and conscientiousness of students in learning and using information technology.
Second, the promotion of information technology teaching methods, to promote the "classroom revolution" of effective and orderly occurrence
The classroom is the main battlefield of educational reform. Only by building a new teaching model that meets the cognitive characteristics of "digital natives" can we promote active learning, release potential and comprehensive development of learners.
One is to deepen the innovative integration of information technology and classroom teaching, advocate teachers' innovative application of information technology to improve teaching methods, strengthen student-oriented teaching practices, and promote the realization of classroom teaching reform.
The second is to encourage the application of new teaching methods such as collaborative constructive learning, competency-based learning, guided learning, and design-based learning, and to promote the overall improvement of students' comprehensive abilities such as cooperative, practical, and innovative abilities.
Thirdly, we will explore typical cases of applying information technology to solve the "pain points" of teaching, give full play to the leading and exemplary role of excellent teachers, and further improve the quality of teachers' informatization teaching and innovation ability.
Three, strengthen the data interconnection and integration, and build a personalized support services teaching environment
Research shows that the learning environment can shape the behavioral habits of teachers and students. Constructing a teaching environment driven by data intelligence and providing personalized support and adaptive services is conducive to the development of new teaching models.
One is to integrate "smart education" into the construction of smart cities, smart villages, and smart societies, break down the data and information barriers between schools, families, and society, and promote the comprehensive mining and integration of educational data.
The second is to formulate rules and regulations on the rights, disclosure, docking and protection of big data in education, and to promote the integration of data from public ****service platforms and resource platforms for education at all levels.
Third, through learning analytics and educational data mining and other means, we will improve the match between the supply of teaching services and the demand for learning, achieve accurate pushing, and optimize the quality and efficiency of teaching services.
Fourth, use artificial intelligence and big data to improve the effectiveness of modern education governance
First, establish and improve the mechanism of scientific decision-making and education governance assisted by big data, and reasonably utilize the national database of basic education and urban development data to effectively support education decision-making, and improve the level of education governance and service capacity.
Secondly, it encourages research on dynamic simulation of education, using machine learning, fuzzy mathematics and other methods to build models that dynamically simulate the implementation effects of educational decision-making and provide a scientific basis for educational decision-making.
Third, make full use of intelligent technology to perceive, predict and warn campus infrastructure and safe operation, grasp the cognitive and physical and mental changes of teachers and students in a timely manner, make positive, timely and accurate decisions, form a new strategy of modern education governance, and continuously improve the effectiveness of decision-making.