In this technical world, mobile applications and web applications plays an important role in online learning system. Nowadays, learning technology is increasing rapidly with different versions to encourage the learners. Online learning is very useful for every learner and especially, it is very helpful during this covid’19 outbreak, enabling the learners to learn their desired courses in Learning Management System (LMS). However, predicting the attendance of the learner and prediction performance of the learner is challenging in LMS. In this research, the Deep Neural Network (DNN) is used for predicting the learner performance using the log file of the learners in precise manner. The developed model mainly focuses to improve the knowledge of the learners through conducting the online exams to the every learner, and the result of this proposed method yields the prediction of their results using the log file, analysis of the attendance, and mode of technology used. The implementation and analysis of the proposed method revealed that the DNN for learner performance prediction yields a better performance of 90%.
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