Thesis Abstract

The "Machine Learning for Adaptive Learning Paths" project aims to revolutionize computer science education by leveraging machine learning algorithms to tailor learning paths based on individual student progress. Traditional one-size-fits-all approaches often struggle to meet the diverse needs of learners. This project introduces an intelligent system that dynamically adapts its curriculum, pacing, and content based on the student's proficiency, learning style, and real-time performance. By implementing machine learning models, the system continuously analyzes and optimizes the learning experience, providing personalized challenges, exercises, and resources. The goal is to enhance engagement, understanding, and retention in computer science education.

Thesis Overview