{"title":"基于聚类和社会网络的网络学习拖延状态分析","authors":"Tianjiao Zhai, Jianhua Qu, Y. Ling","doi":"10.1109/ICAIE53562.2021.00081","DOIUrl":null,"url":null,"abstract":"Under the background of \"Internet + Education\", it is of great significance to provide effective information for education and teaching work by grasping the situation of students’ procrastination, timely paying attention to the changes of students’ procrastination and analyzing the reasons. Based on the E-learning behavior data, the study constructed the procrastination indicator and divided the course into different learning stages. The study carried out cluster analysis and constructed the concept of procrastination state by summarizing and abstracting the results. Then the procrastination state of students in each learning stage was obtained. Finally, the study used the social network method to analyze the dynamic changes of students’ procrastination in the learning process. The results show that students’ procrastination can be divided into three types: finite procrastination, weak procrastination and strong procrastination. Changes in the state of procrastination are of great significance to education and teaching. Based on the research results, intervention measures are given from different aspects to improve students’ procrastination behavior.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Procrastination State of E-learning Based on Clustering and Social Network\",\"authors\":\"Tianjiao Zhai, Jianhua Qu, Y. Ling\",\"doi\":\"10.1109/ICAIE53562.2021.00081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the background of \\\"Internet + Education\\\", it is of great significance to provide effective information for education and teaching work by grasping the situation of students’ procrastination, timely paying attention to the changes of students’ procrastination and analyzing the reasons. Based on the E-learning behavior data, the study constructed the procrastination indicator and divided the course into different learning stages. The study carried out cluster analysis and constructed the concept of procrastination state by summarizing and abstracting the results. Then the procrastination state of students in each learning stage was obtained. Finally, the study used the social network method to analyze the dynamic changes of students’ procrastination in the learning process. The results show that students’ procrastination can be divided into three types: finite procrastination, weak procrastination and strong procrastination. Changes in the state of procrastination are of great significance to education and teaching. Based on the research results, intervention measures are given from different aspects to improve students’ procrastination behavior.\",\"PeriodicalId\":285278,\"journal\":{\"name\":\"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIE53562.2021.00081\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIE53562.2021.00081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Procrastination State of E-learning Based on Clustering and Social Network
Under the background of "Internet + Education", it is of great significance to provide effective information for education and teaching work by grasping the situation of students’ procrastination, timely paying attention to the changes of students’ procrastination and analyzing the reasons. Based on the E-learning behavior data, the study constructed the procrastination indicator and divided the course into different learning stages. The study carried out cluster analysis and constructed the concept of procrastination state by summarizing and abstracting the results. Then the procrastination state of students in each learning stage was obtained. Finally, the study used the social network method to analyze the dynamic changes of students’ procrastination in the learning process. The results show that students’ procrastination can be divided into three types: finite procrastination, weak procrastination and strong procrastination. Changes in the state of procrastination are of great significance to education and teaching. Based on the research results, intervention measures are given from different aspects to improve students’ procrastination behavior.