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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 |
Files in This Item:
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