Predicting the performance of disability students using assistive tools with the role of ICT in mining approach

Abstract

With the advancement of technology, ICT and AT interact their function in providing high-quality education for students with special needs. SRM is a vital data mining tasks which strongly used in predicting the behavior of student and determine patterns general to a number of learner solutions. The existing algorithm derived pattern growth concept to introduce the rules. The aim of this paper is to provide great use of e-accessibility and latest technologies for the e-learning process. This paper introduced the SNEMiner Ranking algorithm to improve the achievement and success more effectively for disability students to overcome the problems in existing work. This research work used measures to find valid rules. The study of proposed work shows that SNEMiner Ranking algorithm with interestingness measures provides higher performance evaluation in analyzing the various factors to the special student community.