Research on the Application and Development of Artificial Intelligence Assisted Education and Teaching under the Perspective of Human-Machine Collaboration

With the rapid development and application of artificial intelligence technology, education is ushering in unprecedented changes. Through data analysis and intelligent algorithms, AI can achieve an efficient allocation of educational resources and optimization of the teaching process, while humanmachine collaboration, as a new educational model, emphasizes the collaboration between human intelligence and machine intelligence, opening up new paths for educational equity and innovation. In this study, we firstly sort out the current status quo related to human-machine collaboration and AI-assisted education; secondly, we analyze the connotation of human-machine collaboration and explore three types of human-machine collaborative teaching forms and related examples in virtual space, physical space, and hybrid space; thirdly, we illustrate the four types of application scenarios of human-machine collaboration in instructional design and teacher-student interaction, which are mainly the application and practice of AI in educational decision-making, intelligent tutoring, automatic assessment, and classroom evaluation scenarios; finally, it analyzes the future development trend of AI+education fusion, and at the same time points out the challenges of teachers' role and responsibility transformation, technology adaptability, and ethical risks, based on which it proposes the development path of future AI + education fusion.