Exploration and Research on Improving Logical Reasoning Skills in Teaching Artificial Intelligence Driver Designs

Studying the influencing factors of logical reasoning ability can not only help teachers to find out the effective way to cultivate students’ logical reasoning ability, but also provide methodological and theoretical references for the relevant research in the area of artificial intelligence-driven program design education, which is of certain research value. The article firstly introduces the theory of structural equation modeling and the principle of algorithm used in model analysis. Then, taking the students of School S and School T as an example, we designed and distributed relevant collection questionnaires, and analyzed the data using SPSS to understand the overall status of students’ logical reasoning ability and the level of each dimension. Then we make reasonable assumptions about the factors affecting students’ logical reasoning ability, establish a structural equation model of the factors affecting logical reasoning ability, and analyze the effects and paths between the factors and on the logical reasoning ability. Finally, according to the experimental results, we propose targeted teaching reform methods. The results of the study show that: teacher’s activities, learning interest, learning attitude, classroom environment have a positive effect on students’ logical reasoning ability, in which the effect of classroom environment on logical reasoning ability is 0.48. Enhancing the teacher’s power and promoting the diversified development of students is an effective way to improve logical reasoning ability.