Exploration of the Ideological and Political Elements of Artificial Intelligence Courses under the Background of Three Comprehensive Education

Abstract

“Three comprehensive education” is an important measure and mechanism to build a big ideological and political pattern, condense various educational resources, and realize the fundamental goal of morality and cultivating people under the new situation. Curriculum ideology and politics are an effective way for universities to “three comprehensive education,” combining professional construction and curriculum characteristics, grasping the law of students’ growth and talent, and clarifying the direction of education. Curriculum ideology and politics are not only the specific practice of “three comprehensive education” but also the specific embodiment of implementing the goal of morality and talent cultivation. The “three comprehensive education” and the curriculum ideology and politics are organically integrated, represent each other, and complement each other. “Three comprehensive education” grasps the direction of education from a macro perspective, and the practice the education policy from a mesoscopic perspective. The research and exploration under the pattern of “three comprehensive education” effectively promote the supply-side structural work in universities. Pertinence and effectiveness, building a macro, meso-, and micro integrated education system, provide new ideas, new ways, and new methods. In this paper, by discussing the relevant theoretical knowledge of three complete education educating people, the intelligent image recognition algorithm is used to intelligently identify the classroom behavior of teachers and students. Combining intelligent image analysis with educational scenarios not only achieves high accuracy of action recognition in classroom scenarios. According to the process of behavior and action classification and recognition, the system is divided into three steps for research: video-based motion target positioning, human behavior and action feature extraction, and human behavior and action recognition and classification.