The research of theoretical construction and effect of preschool wisdom education system in the background of big data

Abstract

The transition from the digital age to the mobile intelligent era has quietly triggered the profound changes in the cognitive thinking modes and learning styles of preschool education majors (preschool teachers). In this context, this paper proposes a collaborative recommendation mechanism for personalized learning path generation in the Web environment. Starting from the learner’s existing cognitive level, this paper proposes a collaborative recommendation mechanism based on learner’s actual Demand, community to achieve personalized learning resources recommended. The research builds the Collaborative recommendation model through architecture design and algorithm design, and validates its validity through a series of experiments. The results show that to some extent, the research results can recommend the ideal learning path to target users, effectively improve the accuracy of recommended teaching resources, and then improve the quality and effectiveness of kindergarten teachers’ pre-employment training and post-employment development, to help them achieve lifelong Learning and development.