Use Machine Learning Technologies in E-learning

被引:0
|
作者
Akter, Taslina [1 ]
Sadman, Yeaser [1 ]
Bala, Shatabdee [2 ]
机构
[1] Independent Univ, Dept EEE, Dhaka, Bangladesh
[2] Gono Bishwabidyalay, Dept CSE, Dhaka, Bangladesh
来源
2022 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS) | 2022年
关键词
E-Learning; Technology Enhanced Learning Environments; Machine Learning; Artificial Intelligence;
D O I
10.1109/IEMTRONICS55184.2022.9795843
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we generated some data as a result of new technologies, the internet, and linked items. Putting these facts into context and structuring them so that they may be perceived, understood, and reflected is critical. Humans had traditionally studied data. As the availability of data grows larger, humans are progressively turning to computerized technologies that can replicate them. Machine learning refers to technologies that can resolve issues by learning from both data and data modifications. Artificial intelligence (AI) has a significant influence on e-learning studies, and machine learning-based methodologies may be used to improve Technology Enhanced Learning Environments (TELEs). This publication provides an outline of relevant study outcomes in this domain. Initially, we'll go over some basic machine learning ideas. Then, we'll go through the significant latest research in the domain of e-learning that uses machine learning.
引用
收藏
页码:996 / 999
页数:4
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