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Machine Learning Approaches for Improvising Modern Learning Systems最新文献

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Game-Based Learning 基于游戏的学习
Machine Learning Approaches for Improvising Modern Learning Systems Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5009-0.CH003
Pankaj Dadure, Partha Pakray, Sivaji Bandyopadhyay
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引用次数: 0
Learning Management Systems in the Era of E-Learning
Machine Learning Approaches for Improvising Modern Learning Systems Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5009-0.CH007
J. Namada
{"title":"Learning Management Systems in the Era of E-Learning","authors":"J. Namada","doi":"10.4018/978-1-7998-5009-0.CH007","DOIUrl":"https://doi.org/10.4018/978-1-7998-5009-0.CH007","url":null,"abstract":"The twenty-first century has seen a paradigm shift occasioned by the onset and rapid spread of the coronavirus pandemic in different perspectives. The lockdowns and other protocols introduced by health authorities globally inhibited the progress of many business sectors of the economy. The education sector for example has been affected significantly with e-learning taking a central position to promote social distancing and minimize the spread of the virus. COVID-19 has made the work from home approach a new normal. LMS systems have become effective tools of delivering online content and been considered highly significant on the advent of the pandemic. This chapter presents LMS systems as a medium of e-learning and explains how different digital tools facilitate both synchronous and asynchronous e-learning. A systematic literature review was adopted to shed light on different functionalities of LMS systems and the associated digital tools used for e-learning. The chapter ends by identifying challenges associated with LMS systems and suggesting possible mitigation strategies.","PeriodicalId":320280,"journal":{"name":"Machine Learning Approaches for Improvising Modern Learning Systems","volume":"395 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Artificial Intelligence and Machine Learning in Higher Education 高等教育中的人工智能和机器学习
Machine Learning Approaches for Improvising Modern Learning Systems Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5009-0.CH001
I. Bisen, Emin A. Arslan, Kamil Yıldırım, Yetkin Yildirim
{"title":"Artificial Intelligence and Machine Learning in Higher Education","authors":"I. Bisen, Emin A. Arslan, Kamil Yıldırım, Yetkin Yildirim","doi":"10.4018/978-1-7998-5009-0.CH001","DOIUrl":"https://doi.org/10.4018/978-1-7998-5009-0.CH001","url":null,"abstract":"Artificial intelligence and machine learning have the potential to address many of the problems that have emerged in higher education due the rapid and haphazard transition to online learning brought about by the coronavirus pandemic. These problems include students' struggle to self-regulate their learning, the increase in curriculum planning and administrative workload for teachers, and the loss of personalized interaction between students and teachers. This chapter explores how artificial intelligence can be used to help students and teachers to adapt to the new realities of online learning, and how these technologies could further transform higher education in the future. By providing more personalized, flexible, inclusive, and engaging learning experiences, artificial intelligence has the potential to re-invigorate students and teachers both and to make virtual classrooms more meaningful and productive.","PeriodicalId":320280,"journal":{"name":"Machine Learning Approaches for Improvising Modern Learning Systems","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116424301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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