CAD Technology-driven Teaching Ability Training Strategies for Early Childhood Education Graduates

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Abstract

In China, almost all kindergartens have set up early childhood education courses, but the learning effect of children is not very satisfactory. This is mainly because the traditional "preaching" teaching method cannot stimulate children's learning motivation, which seriously hinders children's initiative. Therefore, it is urgent to find a more effective way to carry out early childhood education. Fortunately, modern information technology dominated by computer multimedia provides us with a platform, and constructivist learning theory provides us with a theoretical guide. Under the dual support of theory and technology, it is of great theoretical and practical significance to explore new teaching methods for children and to promote the comprehensive and long-term development of children. This paper analyzes and researches the current situation of preschool education and the application of computer in preschool education, and takes the relevant theories of constructivist learning environment design as the support point, and uses computer to assist in creating preschool teaching situations. According to the specific situation of the children, select teaching topics, carry out specific teaching design for children, observe and evaluate the specific classroom performance of children, and use this as a data source. At the same time, the teaching cases are analyzed to find out the places and deficiencies that can be used for reference. Through data analysis, it is concluded that the children in the experimental class have significantly improved their ability to repeat, raise their hands, and concentrate through computer-aided and well-created situations for two months. The effect of force concentration is particularly pronounced.

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APA

Zhang, Q., & Xiao, J. (2023). CAD Technology-driven Teaching Ability Training Strategies for Early Childhood Education Graduates. Computer-Aided Design and Applications, 20(S4), 22–31. https://doi.org/10.14733/cadaps.2023.S4.22-31

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