This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth study and analysis of the practical teaching model of preschool education, and applies the designed model to the actual teaching process. The application of multimodal theory to preschool teaching is chosen to theoretically help expand the research scope of multimodal theory and enrich the research of preschool teaching, and practically help break through the previous single-modal teaching model, further enrich the theoretical guidance of preschool teaching, and improve the quality of preschool classroom teaching. Then, from the perspective of human-machine synergy, this paper analyzes the advantages of artificial intelligence technology and teachers in the English classroom, puts forward the new roles of teachers and learners in the human-computer cooperation teaching environment, and discusses the significance and value of applying the four main modules of human-computer cooperation teaching, human-computer gesture mapping and human-computer cooperation manipulator control in the preschool classroom. According to the physical structure of hand joints, the human hand joint angles are obtained through the inverse kinematic solution, and the human hand joint angles correspond to the dexterous manipulator one by one so that the dexterous manipulator can be controlled to imitate the human hand to complete flexible gesture movements and realize the vision-based collaborative human-machine control of the dexterous manipulator. Combined with Gagne’s nine teaching events, a model of the English teaching process based on human-computer collaboration was constructed. Based on this model, the “EasyDotWise English Teaching System” was designed to combine the basic lesson types of preschool classroom teaching and the secondary objectives of the English curriculum standards, including “reading text–reading aloud evaluation,” “playing speech–sound recognition,” and “presenting text–selection.” We designed and implemented three types of teaching activities: “reading text–reading aloud assessment,” “playing phonetic sounds–sound identification,” and “presenting text–comprehension selection.”
Objective. Innovation ability is an important part of children’s core literacy and the core goal of science curriculum. As one of the important contents of scientific literacy, innovation ability is the key ability of young children to make informed decisions when facing scientific problems in social and personal life. In order to adapt to the future life, it is very important for children to have the ability to innovate. This research will provide a reference for the cultivation of children’s innovative ability. Method. In the process of database design, certain design principles need to be followed. In this paper, the system and user experience are greatly optimized by reasonably constructing table structure, allocating storage space, and establishing indexes. In this system, the MySQL database is used to store system data, such as user registration information, subscription information, and system-provided services, and the data uploaded by users that needs to be processed is stored in Hive. Although the GFP algorithm can solve the problem of load balancing, when the largest conditional pattern base of a frequent item is projected to other nodes, a large amount of data transmission will occur, resulting in increased communication between nodes. In order to solve this problem, the FP-growth parallel algorithm based on traffic optimization gives priority to assigning each frequent item to the node that needs the least traffic when grouping it. Results/Discussion. Experiments show that the TFP algorithm not only satisfies the load balance of nodes but also ensures a small amount of communication between nodes, which is more efficient than the traditional FP-growth parallel algorithm. The survey results of the influencing factors of children’s innovation ability match the theoretical hypothesis, and different influencing factors have different effects on each dimension of children’s innovation ability. Through the basic fit index of the model, the evaluation of the external quality of the model and the test of the internal quality of the model, it is shown that the survey results of the influencing factors of children’s innovation ability match the theoretical hypothesis. The three influencing factors of family participation and investment, teacher teaching, and peer collaboration and communication have a positive role in promoting children’s innovation ability.
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