Automated Assessment Generation and Student Performance Prediction In E-Learning System

Abstract

In this project we proposed an automatic student performance and assessment generation models in e-learning using machine learning algorithms. Our proposed model will find out Students performance by using their behavior. Behavioral data like study material searching, video accessing time, and submission dates, assignment marks, question asking behavior etc. will be tracked into the database. In e-learning assessment generation is a very important and time consuming activity for teachers. Therefore to solve this issue we proposed automatic assessment generation model which will use Formal Concept Analysis algorithm. Formal Concept Analysis algorithm will be used to extract knowledge from the question-answers. A Learning Management System(LMS) is an application software that plays a vital role in educational technology. Such software can be designed to augment and facilitate instructional activities including registration and management of education courses, analyzing skill gaps, reporting, and delivery of electronic courses simultaneously.