earticle

논문검색

Optimization of Physical Education Teaching Mode in Colleges based on Data Mining Clustering Algorithm

초록

영어

Deep neural networks (DNNs) and their learning algorithms have been widely used in large data analysis. With the practice of teaching network reform in higher education, many colleges began to use the network to change the traditional teaching methods, and made several achievements. In this paper, the authors first analyze the infinite depth neural network, and construct evaluation index system by using network data mining method. The result shows that 58.09% students think the evaluation from college physical education is formative assessment, 27.94% students think that the evaluation reflects the magnitude progress, and 30.15% students think that it reflects the students' self-evaluation. Physical teaching evaluation is an important part of physical education; however, the survey found that physical education students are lack of understanding of teaching evaluation. Therefore, colleges should make comprehensive evaluation of physical education, and formulate scientific and rational teaching evaluation concept.

목차

Abstract
 1. Introduction
 2. Neural Network
  2.1. Depth Neural Network
  2.2. Network Topology Structure
 3. Research Design
  3.1. Research Methods
  3.2. Physical Education Teaching
 4. Empirical Analysis
  4.1. System Principles
  4.2. Evaluation Index System
  4.3. Students Learning Evaluation
 5. Conclusions
 References

저자정보

  • Runzhong Li P.E. and Leisure College of Hainan Tropical Ocean University, Sanya, China
  • Yuxia Wang P.E. College of Nanchang Hangkong University, Nanchang, China

참고문헌

자료제공 : 네이버학술정보

    ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

    0개의 논문이 장바구니에 담겼습니다.