Evolving New Educational Era with Machine Learning and artificial Intelligence: Future of E-Learning

人工智能 计算机科学 领域(数学) 适应(眼睛) 机器学习 教育技术 数学教育 心理学 数学 神经科学 纯数学
作者
Supriya Nagarkar,Minal D. Kalamkar,Abhijit T. Parchure
出处
期刊:Turkish Online Journal of Qualitative Inquiry [Turkish Online Journal of Qualitative Inquiry (TOJQI)]
卷期号:12 (6): 4956-4962
摘要

Currently, rising technologies like machine learning and artificial intelligence support the process of e-learning scenarios in a positive manner. In modern teaching-learning approach and technology-based learning and teaching like; Machine Learning and artificial intelligence supports both teachers and students. With the evolution and adaptation of information and communication technology (ICT), multiple education applications have emerged in the current era. Hence, many institutes and universities have employed these systems to ensure better teaching and learning among students. In the performed scientific studies, many positive outcomes of machine learning-based e-learning support in the education field. As a result, one can predict that the future of e-learning will ultimately depend on artificial intelligence. Here, in this paper, the study aims to understand the importance of machine learning and the artificial intelligence-based future of e-learning.

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