Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the modern educational system, e-learning is crucial. Learning behaviour and interest are the main focuses of personalized learning systems, which also adapt the curriculum to the skills and foundational knowledge of their students. The personalized learning system is a customizable teaching methodology that meets the particular needs of students. Personalized learning maximizes each learner's needs. For an efficient education system, personalized learning system is vital to understand learners and build a strategy that caters to the specific learning needs and interests of students. An intelligent tutor system is a system that monitors the learner's performance and provides tailored tutoring. Computer-based learning, digital collaboration, web-based learning, and virtual classrooms are all examples of e-learning applications. Artificial intelligence-based e-learning is contingent upon a multitude of aspects, including but not limited to the learner's interest, aptitude, skill, hobbies, perception, attitude, and emotions. Organizations are in great need of AI-based e-learning systems to give corporate training to their staff members depending on their preferred methods of learning and the demands of the company. Personalized learning systems require the identification of learning styles and the prediction of domain knowledge.
Keywords:
Artificial Intelligence, E-Learning System, Artificial Neural Network, Fuzzy Rule Based System Domain Knowledge Prediction
Cite Article:
"Enhancing E-Learning Through Artificial Intelligence:A Research perspective", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a142-a148, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502019.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator