Abstract
Tennis teaching is an important part of traditional physical education in China. It aims to cultivate students’ lifelong exercise habits, improve learning efficiency, and promote social development. Therefore, based on the concepts of deep learning and digital resource construction, this paper proposes the course structure design. This paper first describes the current situation of tennis teaching, then studies the relevant content of deep learning, and discusses the most commonly used neural network algorithm in the field of deep learning. Then, using the research method of the questionnaire survey, combined with the digital teaching mode, the teaching of Chinese college students tennis group research, and compared with the traditional teaching mode. The results showed that the experimental group (EP) learned more balanced technical movements than the control group (CP). The teaching effect of digital resource tennis course is better than conventional teaching, which shows that digital resource tennis course can master students’ skills better than conventional teaching. Therefore, the construction of digital resources based on deep learning can improve students’ tennis technology and stimulate students’ interest in tennis.
Highlights
The traditional teaching mode has always been the dominant position of teachers, and in-depth learning is a new concept
Tennis is welcomed by many ordinary students in China with its unique charm and cultural heritage, and more and more people begin to devote themselves to tennis [11, 12]
Baseline Stroke Test. e forehand and backhand depth of the test object: the subjects hit the ball from the other side of the net at the baseline, hit 5 forehand balls in a row, and changed the backhand to hit 5 balls in a row
Summary
Its growth and progress directly affect people’s comprehend of the world’s civilized and cultural life [1, 2]. The traditional teaching mode has always been the dominant position of teachers, and in-depth learning is a new concept. The construction and use of digital resources have become one of the indispensable and important topics in the fields of education research and sports scientific research. Innovative research on tennis teaching is necessary [3, 4]
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