A Review on Artificial Intelligence Based E-Learning System

被引:3
|
作者
Kumar, U. Arun [1 ]
Mahendran, G. [1 ]
Gobhinath, S. [1 ]
机构
[1] Kathir Coll Engn, Dept EEE, Coimbatore 641062, India
关键词
Artificial intelligence (AI); E-Learning; MOOC; Genetic algorithm (GA); Artificial Neural Network (ANN);
D O I
10.1007/978-981-19-2840-6_50
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today, the e-learning system is vital to the educational system. Technology integration in the classroom aids in the effective and efficient delivery of content-based education, hence increasing student confidence. Personalized educational systems concentrate on learning behaviour, interest, and course design based on learners' aptitude and fundamental knowledge. It is a versatile teaching style that may be tailored to match the needs of individual pupils. The individualised learning strategy caters to the specific demands of each student. Understanding learners and developing a strategy that meets individual learning requirements and student interests is required for an efficient education system. An smart Tutor system is an expertise way to monitor the performance of the pupils in order to deliver tailored tutoring. Computer-based education, web-based acquiring knowledge, crowdsourcing, and virtual classrooms are examples of e-learning applications. AI may be used to automate learning processes such as building teaching materials, curriculum, training, evaluating student performance, and employing current teaching technique. Artificial intelligence is the most recent e-learning trend in higher education and business. AI aids in the provision of individual decisions through data analytics, which leads to improved education for tailored teaching and the streamlining of the educational process.
引用
收藏
页码:659 / 671
页数:13
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