Feature Evaluation of Emerging And E-Learning System

Feature Evaluation of Emerging And E-Learning System

M.Ratna Harshini, Dr.G.Neelima (Associate Professor)

MCA Student, Department of Master of Computer Applications,

Vignan’s Institute of Information Technology(A), Beside VSEZ,Duvvada,Vadlapudi Post, Gajuwaka, Visakhapatnam-530049.

Head of Department, Department of Information Technology,

Vignan’s Institute of Information Technology(A), Beside VSEZ,Duvvada,Vadlapudi Post, Gajuwaka, Visakhapatnam

ABSTACT

With the development of artificial intelligence, adaptive e-learning has gained more and more attention. As every approach to e-learning becomes less appealing and the quality of as the popularity of online courses grows, they switch to more customized, flexible learning to work with students and achieve better learning results. The focus of the schools is on organization, awareness, and examination. pupils and achieve better learning results The focus of the schools is Methods for bringing creativity into the curriculum and vision E-learning worries are widespread. It is an exam issue for each and every one of us. The goal of this study's analysis is to identify potential outcomes from assessing e-learning models with artificial intelligence (AI) methodologies like supervised, semi-supervised, and unsupervised reinforcement learning advancements.