{"title":"Investigation of Machine Learning Assistance to Education","authors":"Megha Gupta, Gunjan Batra","doi":"10.1109/ICCMC51019.2021.9418364","DOIUrl":null,"url":null,"abstract":"Machine learning as customized learning and teaching can help access student’s background, aptitude, learning speed and feedback of individual and cumulative performance based on different factors to the teacher. Currently, in the times of a worldwide pandemic, everything from schools to online exams and offices has been shifted to the online platform and served as a channel in continuous functionality that is necessary for development and subsistence. It can be seen in the education sector, especially in Higher education that by continuous working, integration of academics and technology has started, despite several limitations. This paper discusses how Machine Learning is expanding it’s root in education sector as well as the pros-cons that will be generated by the machines using intelligent technology.","PeriodicalId":131747,"journal":{"name":"2021 5th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC51019.2021.9418364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Machine learning as customized learning and teaching can help access student’s background, aptitude, learning speed and feedback of individual and cumulative performance based on different factors to the teacher. Currently, in the times of a worldwide pandemic, everything from schools to online exams and offices has been shifted to the online platform and served as a channel in continuous functionality that is necessary for development and subsistence. It can be seen in the education sector, especially in Higher education that by continuous working, integration of academics and technology has started, despite several limitations. This paper discusses how Machine Learning is expanding it’s root in education sector as well as the pros-cons that will be generated by the machines using intelligent technology.