【关 键 词 】：
高中人工智能教育； 新课标； 教材分析； 教学内容； 篇章结构
As the main vehicle for AI education at the basic education stage and an important support for the implementation of the General High School Information Technology Curriculum Standards (2017 Edition), the Preliminary Artificial Intelligence textbook provides a representative sample for people to understand AI education. This paper uses content analysis method to make a comprehensive analysis of the knowledge content, chapter structure, activity design, evaluation methods and technology carrier of the four textbooks of preliminary artificial intelligence. The research finds that: in terms of learning content, the textbook covers the concept, characteristics, development course, core algorithm, typical application, module development, ethics and security of artificial intelligence, with different emphasis and expansion. In terms of chapter structure, the four textbooks have different styles and clear chapter flow. In terms of activity design, students are mainly guided to expand their thinking through research, project and exploration activities, which are rich, interesting and collaborative, and take into account the depth and breadth of knowledge construction. Evaluation method is based on project-based learning evaluation, supplemented by knowledge testing, which prioritizes the development of students' higher-order skills. In terms of technology carrier, the domestic artificial intelligence open platform and Python language are mainly used. Influenced by many factors, each textbook has its own shortcomings, and this paper discusses possible ways for improvement.