Analysis of children's multiple intelligence development level based on general linear data processing model

Abstract

Purpose: With the development of information technology, there are more and more practical problems in computer data processing and analysis. The purpose of this study is to analyze the factors affecting the development of children's intelligence through a general linear data processing model, and to provide support for improving the development of children's intelligence. Methods: This research focuses on the use of a general linear data analysis model.A total of 176 children aged 3 to 6 years were selected as the research objects, and they were randomly divided into control class and experimental class for 24 weeks, 5 times/week, 30min/time. The daily outdoor activities of the children in the experimental class used multiple sports activity modules, while the daily outdoor activities of the children in the control class used general physical activity content. The activity time, intensity and frequency of children in the experimental class and the control class were basically the same. Results: 1) The general linear data analysis showed that the verbal intelligence, physical and motor intelligence, introspective intelligence and natural intelligence of 3–4 year old children were significantly affected by the interaction of time and intervention factors, and the interpersonal intelligence of 4–5 year old children changed significantly., Musical intelligence and natural intelligence were significantly affected by the interaction of time and intervention factors, and the physical and motor intelligence and interpersonal intelligence of children aged 5–6 were significantly affected by the interaction of time and intervention factors. 2) SPSS data processing shows that after the intervention of the multiple sports activity module, the children's linguistic intelligence, logical-mathematical intelligence, spatial intelligence, physical and motor intelligence, introspective intelligence, musical intelligence, interpersonal intelligence, natural intelligence and multiple The total score of intelligence was significantly different from that before the intervention (P<0.05); the language intelligence, physical and motor intelligence, logic-mathematical intelligence, musical intelligence and intelligence total scores of children in each age group in the control class were higher than those before the intervention, and the difference was significant. (P<0.05); the total scores of children's language intelligence, logic-mathematical intelligence, spatial intelligence, physical and motor intelligence, introspective intelligence, musical intelligence, interpersonal intelligence, natural intelligence and multiple intelligences in each age group in the experimental class were compared with those in the control class, the difference was significant (P<0.05) 3) Conclusion: The joint analysis of the general linear data processing model and the T test in the S data analysis software shows that the multi-sports activity module is superior to the general physical activity content in developing children's multi-intelligence development., and the general linear data processing model can be used to analyze the influencing factors of children's multiple intelligence development.