An Adaptive E-Learning System Using Justification Based Truth Maintenance System

TL;DR

This paper proposes an adaptive e-learning system that personalizes content and learning paths for students using a justification-based truth maintenance system to enhance educational effectiveness.

Contribution

It introduces a novel adaptive e-learning framework that utilizes a justification-based truth maintenance system for personalized content delivery.

Findings

System effectively personalizes learning paths based on student profiles.

Validation shows improved adaptability and student engagement.

Framework supports dynamic content customization.

Abstract

In most E learning systems educational activities are presented in a static way without bearing in mind the particulars or student levels and skills. Personalization and adaptation of an E learning management system are dependent on the flexibility of the system in providing different learning and content models to individual students based on their characteristics. In this paper we suggest an Adaptive E learning system which is providing adaptability with support of justification based truth maintenance system. The system is accomplished of signifying students with suitable knowledge fillings and customized learning paths based on the students profile interests and previous results. The validation of proposed framework is performed by meta model.