Intelligent Evaluation Model of Basketball Teaching Reliability Based on Swarm Intelligence and Edge Computing

Abstract

Abstract Campus basketball culture is gradually affecting students’ sports spirit and sports accomplishment. Different from other cultures, basketball culture can effectively affect students’ moral sentiments. Therefore, teachers should use the power of basketball culture to instill positive basketball culture in daily basketball teaching, so as to influence students’ moral behavior imperceptibly and become sunny and positive! In particular, in this multimedia information age, “fast food” education has penetrated into the hearts of students. The education reform requires that the purpose of teaching is to stimulate students’ subjective initiative and objectively evaluate students. As for the evaluation of basketball teaching achievements, the method of specified items is generally used for testing, which is highly subjective. Teachers can not be absolutely fair and impartial when evaluating, and it is easy to cause negative emotional impact to some students. Therefore, it would produce resistance to basketball activities, even affect the quality of sports, and finally affect health. Based on the evaluation method of basketball teaching, this paper introduced a reliability intelligent evaluation model based on swarm intelligence and edge computing, and used this model to evaluate students’ performance in basketball teaching classes. Moreover, this paper designed a related experiment, the experimental results showed that boys and girls in basketball level gap was more obvious. As far as dribbling skills were concerned, the highest score of boy A was 91 points, while the lowest score of girl C was 54 points. The gap was quite large. For the three-step lay up, the highest B score of boys was 90 points, and the lowest D score of girls was 59 points. The gap was also large. It is necessary to explore the drawbacks of modern basketball teaching courses, so as to improve the quality of classroom teaching and create a diversified basketball teaching classroom. At the same time, the introduction results of the reliability intelligent evaluation model were studied by using the questionnaire survey method. The survey objects were 48 people, and the Clonebach coefficients A of the text questionnaire and the form questionnaire were 0.87 and 0.89 respectively. Through the change data of students’ interest and attitude, it was proved that the reliability intelligent evaluation model could improve the students’ enthusiasm for learning basketball courses, thus improving their sports quality. This study provided a reference value for the application of swarm intelligence and edge computing in the intelligent evaluation model of basketball teaching reliability, and provided a direction for the future development of basketball teaching.