Teaching mode of sports swimming video in colleges and universities based on artificial intelligence

Abstract

After mankind entered the 20th century, a young science with a history of only 60 years, artificial intelligence technology, is affecting the world in its own unique way. Artificial intelligence technology is known as one of the three major scientific and technological achievements of this century. The applications of artificial intelligence technology include machine learning, expert systems, pattern recognition, natural language processing, artificial neural networks, and robots. Two classes (n = 42) were randomly selected in the experiment, namely, the experimental group and the control group. The control group adopts traditional methods of teacher explanation, demonstration, and practice. The experimental group uses a combination of feedback and traditional teaching methods to teach. The students in the experimental group and the control group are compared in the early and late stages of the swimming skills video. Finally, the characteristic parameters of swimming techniques are compared and analyzed. Experimental data showed that the average score of students in the experimental group was 32.38, and the average score of the control group was 28.43. The average technical evaluation score of the experimental group was 77.19, and the average technical evaluation score of the control group was 72.43. The experimental results show that the video feedback teaching method does play a certain role in improving students' technical movements and proficiency and improves the quality of teaching.