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DC Field | Value | Language |
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dc.contributor.author | Shekhar, R | - |
dc.date.accessioned | 2023-05-24T09:20:16Z | - |
dc.date.available | 2023-05-24T09:20:16Z | - |
dc.date.issued | 2022-06-06 | - |
dc.identifier.issn | 4038-4049 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/714 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of Positive School Psychology | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | NeuroFuzzy System | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | e-learning | en_US |
dc.title | Development Of An E-Learning System Based On Artificial Intelligence | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
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