{"title":"2019冠状病毒病期间通过在线教育预测学生参与及其对学习成果的影响","authors":"Muhammad Nadeem, Faisal Bukhari, Ali Hussain","doi":"arxiv-2301.00031","DOIUrl":null,"url":null,"abstract":"Everybody knows very well about the COVID-19 pandemic, lockdown, and its\nimpacts and effects on every field of life, from childhood to senior citizens,\nfrom local to global. The underlying research study focuses on students'\ninvolvement in online classes. This paper assesses the effect of the COVID-19\npandemic on the students' participation and involvement during online classes\ncompared to the physical classes, cheating behavior, health effects, and study\nstyles of the students of diverse degrees and age groups. This research study\ncontributes to the real problems and challenges that students faced during\nonline classes during the COVID-19 pandemic. The percentages of the students'\nresponses with different color schemes shown in Fig. 1, Fig. 2, Fig.3(a),\nFig.3(b) and Fig.4 are conveying powerful and meaningful insight. These figures\nand the results given in Table I and Table II indicate that most students are\nnot fully involved during online classes due to technical issues, remote\ndistance, etc. We applied the Test here because we do not have exact population\nmeans. We used ttest_1samp with default value 0 to compute the variables'\nstatistics and p-value. These values are minimal in favor of rejecting the null\nor H0 (hypothesis) and accepting the alternate or H1 (hypothesis). It further\nmeans that students' involvement during online classes is severely affected.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"327 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19\",\"authors\":\"Muhammad Nadeem, Faisal Bukhari, Ali Hussain\",\"doi\":\"arxiv-2301.00031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Everybody knows very well about the COVID-19 pandemic, lockdown, and its\\nimpacts and effects on every field of life, from childhood to senior citizens,\\nfrom local to global. The underlying research study focuses on students'\\ninvolvement in online classes. This paper assesses the effect of the COVID-19\\npandemic on the students' participation and involvement during online classes\\ncompared to the physical classes, cheating behavior, health effects, and study\\nstyles of the students of diverse degrees and age groups. This research study\\ncontributes to the real problems and challenges that students faced during\\nonline classes during the COVID-19 pandemic. The percentages of the students'\\nresponses with different color schemes shown in Fig. 1, Fig. 2, Fig.3(a),\\nFig.3(b) and Fig.4 are conveying powerful and meaningful insight. These figures\\nand the results given in Table I and Table II indicate that most students are\\nnot fully involved during online classes due to technical issues, remote\\ndistance, etc. We applied the Test here because we do not have exact population\\nmeans. We used ttest_1samp with default value 0 to compute the variables'\\nstatistics and p-value. These values are minimal in favor of rejecting the null\\nor H0 (hypothesis) and accepting the alternate or H1 (hypothesis). It further\\nmeans that students' involvement during online classes is severely affected.\",\"PeriodicalId\":501310,\"journal\":{\"name\":\"arXiv - CS - Other Computer Science\",\"volume\":\"327 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Other Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2301.00031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2301.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19
Everybody knows very well about the COVID-19 pandemic, lockdown, and its
impacts and effects on every field of life, from childhood to senior citizens,
from local to global. The underlying research study focuses on students'
involvement in online classes. This paper assesses the effect of the COVID-19
pandemic on the students' participation and involvement during online classes
compared to the physical classes, cheating behavior, health effects, and study
styles of the students of diverse degrees and age groups. This research study
contributes to the real problems and challenges that students faced during
online classes during the COVID-19 pandemic. The percentages of the students'
responses with different color schemes shown in Fig. 1, Fig. 2, Fig.3(a),
Fig.3(b) and Fig.4 are conveying powerful and meaningful insight. These figures
and the results given in Table I and Table II indicate that most students are
not fully involved during online classes due to technical issues, remote
distance, etc. We applied the Test here because we do not have exact population
means. We used ttest_1samp with default value 0 to compute the variables'
statistics and p-value. These values are minimal in favor of rejecting the null
or H0 (hypothesis) and accepting the alternate or H1 (hypothesis). It further
means that students' involvement during online classes is severely affected.