{"title":"Determining the online learning challenges during COVID-19 pandemic at the University of Mataram using Principal Component Analysis","authors":"Ena Setiawana, Joji Ardian Pembargi, Windia Cantika Sari, Baiq Siti Patimah Zohrah, Aanisah Rifdah Rihhadatul Aisy, N. Fitriyani","doi":"10.1063/5.0115590","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic had an impact on the world of education and it leads to the cancellation of all educational activities. An online learning system was an educational system or concept that utilizes information technology in the teaching and learning process. The basic principles in the online learning process are clarity of messages, learning strategies, interactivity, growth of motivation and creativity, and the use of media for effective communication. The purpose of this study was to determine what factors are hindering students in online lectures by using Principal Component Analysis. The research was conducted using a survey method, namely by filling in forms for undergraduate students at the University of Mataram. The method used to analyze the data was a quantitative descriptive technique which was expressed in the distribution of scores and percentages. This form contains 15 observed variables, after factor analysis was carried out, and obtained 3 factors that most hamper online lectures. The dominant factor is Factor 1 that can explain 28.957% of the variation. The variables included in Factor 1 are the lack of concentration, material understanding, not direct discussion, unconcern (boredom), and lack of study companion variables. The results obtained can be used as a consideration to maximize online lectures during the COVID-19 pandemic. © 2022 Author(s).","PeriodicalId":56955,"journal":{"name":"应用数学与计算数学学报","volume":"214 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"应用数学与计算数学学报","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1063/5.0115590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
利用主成分分析确定马塔兰大学COVID-19大流行期间在线学习面临的挑战
新冠肺炎疫情对教育界产生了影响,导致所有教育活动被取消。在线学习系统是在教学过程中利用信息技术的一种教育系统或概念。在线学习过程的基本原则是信息清晰,学习策略,互动性,动机和创造力的增长,以及有效沟通媒体的使用。本研究的目的是通过主成分分析来确定哪些因素阻碍了学生的在线讲座。本研究采用问卷调查法,即对马塔兰大学的本科生进行问卷调查。用于分析数据的方法是一种定量描述技术,用分数和百分比的分布来表示。该表格包含15个观察变量,经过因子分析,得到3个最阻碍网络讲座的因素。显性因子为因子1,可以解释28.957%的变异。因素1中的变量包括:注意力不集中、对材料理解不深入、不直接讨论、不关心(无聊)和缺乏学习伴变量。获得的结果可以作为在COVID-19大流行期间最大化在线讲座的考虑因素。©2022作者。
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