School of Engineering, Guangzhou College of Technology and Business, Guangzhou 510850, Guangdong, China.
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, Guangdong, China.
Comput Intell Neurosci. 2022 Feb 16;2022:9071944. doi: 10.1155/2022/9071944. eCollection 2022.
Data mining technology has gradually become an important data analysis and knowledge discovery technology widely used in many modern industries. Data mining is a technique to find its regularity from a large amount of data by analyzing each data. It mainly includes three steps: data preparation, regularity search, and regularity representation. Data preparation is to select the required data from relevant data sources and integrate them into a data set for data mining; regular search is to find out the regularity contained in the data set by a certain method; regular expression is to be as user-readable as possible. The way of understanding (such as visualization) will represent the found patterns. This research mainly discusses the improvement of teaching mode based on digital twin-based education big data mining. Through the research on the basic principles of data mining and digital twin technology, the student evaluation tool module based on digital twin and the relevant data analysis tool module of students based on digital twin education big data mining are developed. Data mining is carried out from the data of student performance, personal basic information, and evaluation information to find the correlation between various factors, find the hidden laws, and provide support for teaching decision-making. This paper also solves the problem of frequent communication with remote databases according to the characteristics of the database data required by students and improves the efficiency and scalability of education big data mining technology based on digital twins. The goal of the virtual interactive system of the digital twin-based CNC platform is to have both three-dimensional real-time monitoring and remote control functions based on a three-dimensional virtual CNC panel. This research integrates the three-dimensional real-time monitoring and remote control of the virtual interactive system, analyzes the system operation process, develops the system interface, and improves the system sub-functions; it builds an experimental environment, conducts example tests on various functions of the digital twin platform virtual interactive system, and performs virtual interactions system performance indicators are analyzed. 60% of students believe that their innovation ability has been improved after the implementation of the digital twin teaching model; 50% of students believe that their self-evaluation ability has been improved. Applying digital twin's educational big data mining to student information management, university teaching evaluation, student performance analysis, and examination system, it has played a very good guiding role in improving the level of school teaching management.
数据挖掘技术已逐渐成为广泛应用于现代诸多行业的一种重要数据分析和知识发现技术。数据挖掘是一种通过分析每个数据从大量数据中找到其规律的技术。它主要包括三个步骤：数据准备、规律搜索和规律表示。数据准备是从相关数据源中选择所需的数据，并将其整合到一个数据集用于数据挖掘；规律搜索是通过某种方法找出数据集中包含的规律；规律表示是用用户易于理解的方式（如可视化）来表示发现的模式。本研究主要探讨基于数字孪生的教育大数据挖掘的教学模式改进。通过对数据挖掘和数字孪生技术的基本原理的研究，开发了基于数字孪生的学生评价工具模块和基于数字孪生教育大数据挖掘的学生相关数据分析工具模块。从学生成绩、个人基本信息和评价信息等数据中进行数据挖掘，找出各因素之间的相关性，发现隐藏规律，为教学决策提供支持。本文还根据学生所需数据库数据的特点，解决了与远程数据库频繁通信的问题，提高了基于数字孪生的教育大数据挖掘技术的效率和可扩展性。基于数字孪生的 CNC 平台虚拟交互系统的目标是在基于三维虚拟 CNC 面板的基础上实现三维实时监控和远程控制功能。本研究将三维实时监控和虚拟交互系统的远程控制集成在一起，分析系统的运行过程，开发系统接口，改进系统子功能；搭建实验环境，对数字孪生平台虚拟交互系统的各项功能进行实例测试，并对虚拟交互系统性能指标进行分析。60%的学生认为实施数字孪生教学模式后，他们的创新能力得到了提高；50%的学生认为他们的自我评价能力得到了提高。将数字孪生的教育大数据挖掘应用于学生信息管理、高校教学评价、学生成绩分析和考试系统，对提高学校教学管理水平起到了很好的指导作用。
