A WEB MINING APPROACH FOR PERSONALIZED E-LEARNING SYSTEM

• Author(s): J.MALA
• Paper ID: 1700750
• Page: 62-65
• Published Date: 01-10-2018
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 3 September-2018

Abstract

The Aim of developing e-Learning tool is to create a virtual classroom which enables REMOTE LEARNING and also inculcates the ability in Students to learn by themselves. the students to learn by themselves. The students course Content Authors, coordinators, Industry/ Knowledge Experts and admin can login using their respective password, username and role. Upon signing in and subsequent Log in, the students can enroll in the course of their selection and exposed to the course content. They will be taken through the course chapter wise and they will be required to take Quizzes, Tests, Assignment etc. The proposed eLearning Tool offers the features of video conferencing, chat session, Q and A forum through which Students can clarify their doubts and gain knowledge. They can also interact with knowledge experts and attend webinars with ease. The proposed e-learning engine also provide a user-friendly environment strewn with technologies. The implementation of this project is by ASP.Net MVC 5.0, Web API 2.0, Entity Framework Code First to the Existing Database. This enables Client- Server Deployment, Web Hosting of the tool as well as Device based Deployment in one single implementation.

Keywords

e-Learning tool, students, password, engine.

Citations

IRE Journals:
J.MALA "A WEB MINING APPROACH FOR PERSONALIZED E-LEARNING SYSTEM" Iconic Research And Engineering Journals Volume 2 Issue 3 2018 Page 62-65

IEEE:
J.MALA "A WEB MINING APPROACH FOR PERSONALIZED E-LEARNING SYSTEM" Iconic Research And Engineering Journals, 2(3)