Intelligent Web-based English E-learning tutor with Data Mining technique

Abstract

With the transmission of instructive information mining field, it is in effect progressively associated with various research ranges, for example, versatile and smart electronic mentors, savvy instructive applications and other pleasing on the web instructive information mining frameworks. The utilizations of instructive information mining consider the framework scholarly perspectives, the scholastic foundation, and the learner's order. This paper proposes another versatile e-learning framework. The proposed framework incorporates an outstanding canny electronic English e-learning mentor with information mining procedures. Likewise, the information mining strategies are utilized as a part of request to bunch understudies’ learning styles as per Jackson's learning styles. A definitive objective of the proposed framework is to decide the best showing pattern for every learner. The proposed system can be made available through the web everywhere as well as Every Time (EWET). It also offers adaptive facilities such as learning videos, adaptive presentations, and quizzes for the students. Moreover, it helps both teachers and students to follow the best learning process and achieve the highest academic rates. The results show that the highest student's achievement pattern is the pattern (Speaking-Reading-Grammar-Writing) with score of at least 87.4%.