Artificial Intelligence and Machine Learning in Higher Education

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":null,"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":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine Learning Approaches for Improvising Modern Learning Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-5009-0.CH001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

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.
高等教育中的人工智能和机器学习
人工智能和机器学习有潜力解决高等教育中出现的许多问题,这些问题是由于冠状病毒大流行带来的向在线学习的快速和随意过渡造成的。这些问题包括学生难以自我调节学习,课程规划和教师管理工作量增加,学生与教师之间缺乏个性化互动。本章探讨了如何利用人工智能来帮助学生和教师适应在线学习的新现实,以及这些技术如何进一步改变未来的高等教育。通过提供更加个性化、灵活、包容和吸引人的学习体验,人工智能有可能重振学生和教师的活力,使虚拟课堂更有意义、更有成效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信