Abstract
The student learning system (SLS) is a method of assessing a student's awareness and comprehension of a specific subject. In this technological world, SLS has become a more viable option for a range of people from beginners to get knowledge and the experts to get updated in learning. In the last years, artificial soft computing techniques have bee applied within the learning architecture for providing an effective learning environment. A systematic study of soft computing applications is carried out in this article in order to improve the learning system. Various soft computing techniques and their architecture with respect to the E-learning and m-learning methods used and their implementation are also discussed. The purpose of this paper is to look into the use of soft computing to provide users with observations and enable them to prepare, using tools specifically for challenges in learning and proposes a model based on Artificial Intelligence (AI) for learning techniques. This paper has found the development of techniques using soft computing as a source for handling learning methodologies more effectively. (C) 2021 INT TRANS J ENG MANAG SCI TECH.