Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Statgraphics

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

Manipulation and Analysis

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Flatness Prediction of Cold Rolled Strip Based on Deep Neural Network with Improved Activation Function.

Sensors (Basel, Switzerland)·2022

Same author

Correction: Chromosomal variants accumulate in genomes of the spontaneous aborted fetuses revealed by chromosomal microarray analysis.

PloS one·2022

Same author

Lectin galactoside-binding soluble 3 binding protein mediates methotrexate resistance in choriocarcinoma cell lines.

Bioengineered·2022

Same author

Selinexor improves the anti-cancer effect of tucidinostat on TP53 wild-type breast cancer.

Molecular and cellular endocrinology·2022

Same author

Reconfigurable Surface with Photodefinable Physicochemical Properties for User-Designable Cell Scaffolds.

ACS applied bio materials·2022

Same author

Liming mitigates the spread of antibiotic resistance genes in an acid black soil.

The Science of the total environment·2022

Search research articles

Related Experiment Video

Updated: Sep 20, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm.

Sen Li¹, Yanrui Luo¹

¹School of Physical Education and Health, Shanghai Lixin University of Accounting and Finance, Shanghai 201620, China.

Computational Intelligence and Neuroscience

|June 10, 2022

Summary

This study introduces a data mining system to enhance physical education (PE) teaching quality. The new system efficiently analyzes student performance data, improving management and educational outcomes in schools.

More Related Videos

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Sep 20, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Area of Science:

Educational Technology
Data Mining
Sports Science

Background:

Universities increasingly rely on information technology for academic management.
Traditional student data management methods are insufficient for extracting meaningful insights.
Digital exploration technology is widely adopted across various industries.

Purpose of the Study:

To design a data mining-based system for analyzing and managing physical education (PE) course teaching quality.
To integrate information technology and data mining into school PE teaching practices.
To develop a PE performance management system that improves teaching quality.

Main Methods:

Application of data mining techniques for analyzing student performance data in PE.
Development of a Web-based integrated academic management information system tailored for PE.
Implementation of a distributed computing approach for efficient data processing.

Main Results:

The proposed data mining algorithm significantly outperforms traditional methods in finding frequent itemsets.
The system demonstrates superior efficiency compared to traditional algorithms on single machines and distributed clusters.
The system achieved faster processing times for database scans and frequent itemset searches.

Conclusions:

The developed PE performance management system is functional, scalable, and user-friendly.
The system's modular design promotes independent and cooperative functioning, adhering to high cohesion and low coupling principles.
The data mining approach effectively enhances PE teaching quality and management in educational institutions.