在电子学习中使用机器学习技术

Taslina Akter, Yeaser Sadman, Shatabdee Bala
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引用次数: 1

摘要

在本文中,我们通过新技术、互联网和链接项生成了一些数据。将这些事实置于上下文中并组织它们,以便它们可以被感知、理解和反映是至关重要的。人类传统上是研究数据的。随着数据的可用性越来越大,人类逐渐转向可以复制数据的计算机化技术。机器学习是指可以通过从数据和数据修改中学习来解决问题的技术。人工智能(AI)对电子学习研究有重大影响,基于机器学习的方法可用于改善技术增强学习环境(TELEs)。本出版物概述了该领域的相关研究成果。然后,我们将介绍使用机器学习的电子学习领域的重要最新研究。
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Use Machine Learning Technologies in E-learning
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.
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