Construction and Application of Digital Teaching Resources in Regional Basic Education &amp;lt;br/&amp;gt;—Taking Physical Education Courses as an Example

Liu, Huaijin; Li, Yongbo; Tang, Jing

doi:10.4236/ce.2019.106090

Cited by 11 publications

(5 citation statements)

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“…In foreign colleges and universities, tennis is a very popular fashion sport among young students, with a very high degree of participation [1,3]. e main purpose of public elective physical education is to let more students learn the basic skills of tennis, so as to carry out sports, cultivate students' social interaction, and enrich campus culture.…”

Section: Discussion On Tennis Teaching Digitalmentioning

confidence: 99%

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

Zhao

2021

Security and Communication Networks

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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.

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Section: Discussion On Tennis Teaching Digitalmentioning

confidence: 99%

“…At the same time, the construction and use of digital resources have also 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].…”

Section: Introductionmentioning

confidence: 99%

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

Zhao

2021

Security and Communication Networks

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“…Optimize the allocation of physical education resources in university districts within the city limits Computational Intelligence and Neuroscience educational resources can be equally distributed to educational institutions and educational groups to achieve a relative balance between educational demand and educational supply [19]. e unbalanced distribution of educational resources can lead to various social problems such as immigration to college entrance exams and irregular operation of social tutoring institutions.…”

Section: Optimize the Allocation Of Physical Education Resources Betw...mentioning

confidence: 99%

Methods to Improve the Efficiency of Rural Physical Education Teaching Resources Allocation and Utilization in the Context of Artificial Intelligence

Zhou

2022

Computational Intelligence and Neuroscience

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School physical education is an important part of school education, and physical education resources are the overall measure of a school's physical education level. Rural schools are limited by environmental constraints, especially the lack of physical education resources verification. Therefore, the allocation and utilization efficiency improvement of rural physical education resources are an important element of rural physical education construction. With the mature development of artificial intelligence technology, it has great potential for application in the field of cultural education. Artificial intelligence technology has the advantages of ease of use, strong self-adaptation, and excellent generalization ability, and it is selected for data processing in this paper. Using artificial intelligence technology, the study of sports informatization to help rural sports development and rational utilization of resources can help rural sports education development, rural sports industry prosperity, rural sports talent revitalization, rural sports governance system improvement, and governance capacity enhancement. The artificial intelligence raindrop algorithm, which can automate the statistics of all relevant factors and derive results based on data fusion, was selected as the core algorithm of this paper. Therefore, this paper proposes an intelligent algorithm for allocating and improving the efficiency of rural sports teaching resources so as to improve the informatization level of the rural sports industry, promote industrial integration based on local needs, accelerate the “online urban-rural integration” in rural sports education, rural fitness guidance, and rural recreation and medical care, and rely on multiple entities. We will support the new model of sports informatization to empower rural sports teaching development by relying on the collaboration of multiple entities.

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“…This study draws on the authors' first-hand experience of designing, developing and delivering (3Ds) a massive open online course (MOOC) entitled 'Understanding Research Methods' since 2014, largely but not exclusively for learners in the humanities and social sciences. Liu, H., Li, Y., & Tang, J. (2019).…”

Section: Papermentioning

confidence: 99%

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2019

JPES

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Background: In the field of online learning, a new niche sector is spreading throughout the world in the Massive open online courses: MOOCs for sport and physical education. Aim: The aim of this paper is to analyze the reference literature in relation to MOOCs and sports and to trace the research paths that the studies are taking in the contributions of the last five years. Methods: The research used combined terms for each main concept of MOOC, e-learning, sport and physical education in electronic databases. For inclusion, didactic interventions were to aim at online instruction, such as virtual physical education, supplementary courses, and online courses based learning. No theoretical designs have been included. The studies were excluded even if the interventions focused mainly on the diffusion of sports communication and physical education, which had no educational implications. Results: the international scientific literature has strongly focused on the three themes of: (1) design studies and implementation of the online education, (2) outcome measures: cognitive, affective, psychomotor, and assessment tools, (3) student performance, perceptions, facilitators and obstacles of students and teachers. Discussion: scientific research in the field of MOOCs for sport, seeking abandoning the classic themes of study they are addressing to new issues that appear clearly to be: 1) Student Use and Perceptions, 2) Teacher Uses and Perceptions, 3) Student Physical Education Learning Outcomes.

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Construction and Application of Digital Teaching Resources in Regional Basic Education <br/>—Taking Physical Education Courses as an Example

Cited by 11 publications

References 0 publications

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

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

Methods to Improve the Efficiency of Rural Physical Education Teaching Resources Allocation and Utilization in the Context of Artificial Intelligence

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