Abstract

This physical education assessment platform is designed based on the data min-ing technology to address a number of problems like large workload in the actual physical education performance examination of school students so as to help teachers offer individualized teaching. In the design and development of the com-puter-data-analysis-based physical education assessment platform, this paper adopts the ASP.NET technology and employs the three-layer architecture. The application of this platform can help solve the problems currently existing in the physical education management and realize information-based and automated physical education performance examination.

Highlights

  • At present, many colleges and universities provide physical education (P.E.) courses for students and examine their performance [1,2,3]

  • In order to address the above problems in P.E. teaching, there is an urgent need for an information-based P.E. examination management platform that can scientifically analyze the results after each P.E. examination

  • According to the tree model, it conducts the exam from root nodes to branch nodes. It first compares the corresponding attributes of all nodes on the decision tree and at the same time make decisions on the branches connected to each node

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Summary

Introduction

Many colleges and universities provide physical education (P.E.) courses for students and examine their performance [1,2,3]. In order to address the above problems in P.E. teaching, there is an urgent need for an information-based P.E. examination management platform that can scientifically analyze the results after each P.E. examination. This platform will reduce P.E. teachers’ workload and at the same time make the examination results more useful because these result can help students develop good physical exercise habits and strengthen their physical fitness. In this way, P.E. teaching quality can be guaranteed

Web technology
Data mining
Decision tree theory
Requirement analysis
Data flow analysis
Platform Design
Platform function module design
Decision tree construction algorithm
Platform implementation
Conclusion
Findings
Authors
Full Text
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