School of Physical Education and Health, Shanghai Lixin University of Accounting and Finance, Shanghai 201620, China.
Comput Intell Neurosci. 2022 May 31;2022:6830375. doi: 10.1155/2022/6830375. eCollection 2022.
Advances in network technology have led to extensive information technology construction work in all walks of life; universities, as a key component of national development, cannot be overlooked in this regard. In today's universities, the Web-based integrated academic management information system is widely used, promoting higher education management system innovation and improving the management level of education departments and teaching management. The traditional management mode is incapable of locating "knowledge" in the mountains of student transcripts, and the original management mode must be improved. In business, finance, insurance, marketing, and other fields, digital exploration technology is widely used. This article describes the design approach for a data mining-based analysis and management system for PE course teaching quality, as well as the application of information technology and data mining technology in PE by combining actual PE teaching in schools, with the goal of realizing a data mining-based PE performance management system to serve PE teaching in schools and improve PE teaching quality. The results show that the time required to find frequent itemsets using a traditional algorithm running on a single machine, as well as the time required to scan the database several times for frequent itemset search in a distributed cluster of 20 computing nodes, is significantly longer than that required by the data mining algorithm. As a result, the proposed sports performance management system is functional, simple, and scalable, with each functional module operating independently and cooperatively, reflecting the concept of "high cohesion and low coupling."
网络技术的进步使得各行各业都进行了广泛的信息技术建设工作；作为国家发展关键组成部分的高校在这方面更是不容忽视。在当今的高校中，广泛应用基于网络的综合学术管理信息系统，推动了高校管理体制创新，提高了教育部门和教学管理的管理水平。传统的管理模式无法在学生成绩单的大山中定位“知识”，必须改进原有管理模式。在商业、金融、保险、营销等领域，数字探索技术得到了广泛应用。本文描述了一个基于数据挖掘的体育课程教学质量分析和管理系统的设计方法，以及将信息技术和数据挖掘技术应用于学校实际体育教学中，旨在实现基于数据挖掘的体育绩效管理制度，服务于学校体育教学，提高体育教学质量。结果表明，在单机上运行传统算法时，查找频繁项集所需的时间以及在 20 个计算节点的分布式集群中多次扫描数据库进行频繁项集搜索所需的时间明显长于数据挖掘算法所需的时间。因此，所提出的运动绩效管理系统功能齐全、简单易用且可扩展，每个功能模块独立运行且相互协作，体现了“高内聚、低耦合”的理念。
