Abstract:
In the era of personalized education, there is a growing need for intelligent tutoring systems that can adapt to individual learners’ needs and provide personalized instruction. This project aims to design an intelligent tutoring system that leverages artificial intelligence and machine learning techniques to deliver personalized education. The system will analyze learners’ strengths, weaknesses, and learning styles to provide tailored instruction, feedback, and support. Through extensive evaluation and user testing, the effectiveness and usability of the intelligent tutoring system will be assessed.

Table of Contents:
Chapter 1: Introduction
1.1 Background and Motivation
1.2 Problem Statement
1.3 Objectives
1.4 Scope and Limitations
1.5 Methodology

Chapter 2: Literature Review
2.1 Overview of Intelligent Tutoring Systems
2.2 Personalization in Education
2.3 Artificial Intelligence and Machine Learning Techniques for Personalized Education

Chapter 3: System Design and Architecture
3.1 User Modeling and Learner Analysis
3.2 Content Management and Curriculum Mapping
3.3 Instructional Strategies and Adaptive Feedback
3.4 User Interface Design and Interaction

Chapter 4: Implementation and Evaluation
4.1 System Development and Integration
4.2 Performance Metrics and Assessment Criteria
4.3 Comparative Analysis with Traditional Instruction Methods
4.4 User Testing and Feedback Collection
4.5 Analysis of Results and Findings

Chapter 5: Conclusion and Future Work
5.1 Summary of Findings
5.2 Contributions of the Study
5.3 Limitations and Future Directions
5.4 Conclusion