Adaptive Learning Model for User’s Performance and Knowledge and Big Data

Researcher will learn more about the learners ' learning process and summarise the learning rules by analysing the big data model, and then create customised learning schemes according to their information needs and current skills. Every person's style of learning is unique. To extract the necessary learning content from the enormous content available, some adaptive and personalization techniques are required here. Here, an adaptive learning method is built such that personalization is conceivable. By considering the learner's experience, an adaptive learning system is developed. To establish this by consideration of a particular domain. It takes the output of the person into account and continuously adjusts by reacting to unique learning material from the student. Based on the original evaluation carried out, it categorises learners. Based on the results obtained and on the show of his / her content option. The performance of the Learner is analysed and modelled, adaptation is carried out accordingly by continuous assessments carried out after each module and tweaked during interactions. The basic purpose of this paper is to integrate the disclosure of ideal settings in which students can enhance their learning abilities.