Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/714
Title: Development Of An E-Learning System Based On Artificial Intelligence
Authors: Shekhar, R
Keywords: Fuzzy logic
NeuroFuzzy System
Artificial Neural Network
e-learning
Issue Date: 6-Jun-2022
Publisher: Journal of Positive School Psychology
Abstract: E-learning systems are now a crucial part of the educational system. Utilizing technology in the classroom increases students' confidence by enabling efficient and effective content-based instruction. The emphasis of personalised learning systems is on learning behaviour and interest, and curriculum is created in accordance with learners' aptitude and foundational knowledge. It is a flexible teaching approach that can be tailored to each student's requirements. The tailored learning strategy maximises each learner's needs. This research project offers a useful methodology for creating a customised e-learning system. In order to enhance the effectiveness of the online learning system, artificial intelligence-based systems adapt to the demands of each student individually. This is an adaptable e-learning system that operates in accordance with the learner's many learning aspects. An interactive, customised e-learning system is being developed via research that combines data mining methods, artificial neural networks, fuzzy logic, and adaptive neurofuzzy systems.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/714
ISSN: 4038-4049
Appears in Collections:Journal Articles

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