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@article{171548,
author = {Ms. Varsha. B. Asavale and Ms.Madhuri. C. Panire},
title = {AI based intelligence Personalized Learning Plan},
journal = {International Journal of Innovative Research in Technology},
year = {2024},
volume = {11},
number = {8},
pages = {202-206},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=171548},
abstract = {Recently, the field of Artificial Intelligence and (ML) has picked up speed in different instructive settings. This examination paper investigates the capability of artificial intelligence-driven customized learning plans (PLPs) in the area of a custom curriculum. Fully intent on tending to the one-of-a-kind advancing necessities of understudies with incapacities, this study explores the advantages and difficulties of carrying out computer-based intelligence-fuelled frameworks to foster customized learning plans custom-made explicitly to every understudy's assets and shortcomings. The exploration features the significance of individualization and personalization in a custom curriculum, underlining how simulated intelligence ML innovations can help students with different capacities. By investigating and deciphering immense measures of information gathered from understudies' cooperations with instructive materials and apparatuses, artificial intelligence calculations can create important bits of knowledge to illuminate the advancement regarding customized learning plans. These plans can include a scope of procedures, informative assets, and transformations intended to enhance learning results for every understudy. Besides, this paper recognizes key contemplations and moral ramifications related with the utilization of artificial intelligence driven PLPs in a custom curriculum. It tends to worries connected with information security, algorithmic predisposition, and the requirement for human mediation in dynamic cycles. By recognizing these difficulties and investigating possible arrangements, teachers and scientists can guarantee the mindful and powerful execution of simulated intelligence advancements with regards to a custom curriculum.},
keywords = {Artificial Intelligence, Machine Learning, Personalized Learning Plans, Special Education, Individualization, Data Privacy, Algorithmic Bias, Ethical Considerations.},
month = {December},
}
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