Construction and Application of Tennis Teaching Digital Resources Based on Deep Learning

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.

Analysis of the Construction of Tennis Technology Teaching System in Physical Education Based on Fuzzy Mathematics

“…The many intelligences assessment approach has the potential to more adequately satisfy the requirements for the idea of high-quality instruction when used within the context of a physical education teacher evaluation. Researchers found that the many intelligences hypothesis is very relevant in physical education for both learning and instruction (L. Zhao et al, 2021). Scientists think they may come up with a new method of teaching by applying the "many intelligences hypothesis" to the process of improving college students' physical skills.…”

“…The comparison between the two groups allowed for this discovery. Successful teaching, according to the multiple teaching theory, may be achieved by tailoring methods of instruction to each individual student based on their unique learning style, personality traits, and degree of intellect (T. Zhao, 2021). This procedure is continued until a successful educational strategy is found.…”

“…Key discoveries and original contributions made as a consequence of the work presented in this article are as follows (Feng, 2021). This study compares and examines the differences between traditional teaching and teaching that takes into account many intelligences in order to highlight the benefits of teaching that takes into account multiple intelligences; this article contextualizes the theory of multiple intelligences in the context of college physical education and provides an indepth explanation of its primary components and defining qualities (T. Zhao, 2021). This article gives a thorough overview of the notion of multiple intelligences and places it within the framework of collegiate physical education.…”

“…In this study, we take a look at convolutional neural networks and propose a model for the translation process. Machine translation is our main area of interest (T. Zhao, 2021). The Many Intelligences Hypothesis (MIH) will be discussed in the following paragraph in light of its potential application to the design of a Physical Education curriculum at the university level (Feng, 2021).…”

Text Readability Evaluation in Higher Education Using CNNs

“…In this approach, words are represented as low-dimensional real variables, significantly reducing the dimensionality issue and allowing for the representation of word-to-word relationships. Nevertheless, this method encounters a challenge in differentiating words with similar meanings, potentially leading to an overlap in word properties [14].…”