Dragonfly-Artificial Neural Network Model for eLearning Data Analyses: Is Future Generation Communication Model Smart E-Learning System

In this article, the importance of smart eLearning system with the neural network are suggested as future communication among varies entities which can be part of training and analysis of eLearning system students data in terms of qualitative outcomes among enormous definite datasets. In this direction, a proposed Dragonfly algorithm neural network (modified DA) model was established to predict student’s marks in eLearning datasets for defines students’ exams assessments examination results. The research study indicates that using modified DA model in evaluating and predicting students marks scoring patterns from dataset to figure out using neural network weight prediction factors of dragonfly behaviors of swarms particles analysis which bring to acquire complete results of data analyzed and hence predicted final results useful to every learner. The future generation smart e learning system most demanded feature in terms of integrating neural network learning system for eLearning applications in terms analyzing the dataset. This article enhances all features need in future for better communication and efficient smart eLearning system network.