Preschool Education Based on Computer Information Technology Literacy and Big Data

Abstract

In this practical framework, the preschool teacher is reinforced to utilize a more significant teaching model, like forming real-time-based contextual issues, to help participants to identify a deep learning-based learning model. Numerous studies have been released as a result of the popularity of the use of CIT in preschool education as a research subject. Due to the fact that it broadens teaching resources, provides learning time flexibility, and strengthens teacher-student relationships, this teaching method has received a lot of attention in academia. Teaching strategies in preschool classrooms combine elements of both direct instruction and free play. Among these, CIT stands out as a powerful tool for boosting students’ motivation and engagement in the classroom. Integrate new technology and science into the classroom setting, as well as implement pedagogical changes that make use of IT. Preschool education informatization is now deploying new technology in a variety of preschools, yet there are still flaws. In this paper, a theoretical and problematic-based classifier model, a deep learning-based methodology that was reinforced by utilising a Python-based model to create the comprehensive among preschool students and high-phase semantic parameters, and to enhance computer-based teaching through estimation and text design that can detect high-frequency-based knowledge samples, are used. In this practical model, teachers are insisted to utilize significant frameworks like contextual issues to provide skills to students. The results show that this integrated CIT teaching method is suitable for students and able to raise their aptitude and enthusiasm for studying. By offering new theoretical and practical results about preschool education, the study helps to reform preschool education.