AI Based Learning Assistant using Machine Learning
DOI:
https://doi.org/10.15662/IJEETR.2026.0802003Keywords:
Artificial Intelligence, Machine Learning, Personalized Learning, Student Performance Prediction, Intelligent Tutoring System, Adaptive Learning, Educational Data MiningAbstract
The AI-Based Learning Assistant is an intelligent system designed to improve the quality of education by providing personalized learning support to students. In traditional classrooms, teachers handle many students at the same time, and it becomes difficult to focus on each student individually. Because of this, some students may struggle to understand certain topics. This project aims to solve that problem by using Machine Learning to create a smart assistant that understands each student’s learning behavior and provides customized guidance.
The system collects and analyzes various types of student data such as quiz scores, assignment marks, time spent on topics, response accuracy, and learning speed. By applying supervised machine learning algorithms, the system predicts student performance and identifies weak subjects or concepts. Based on this analysis, the assistant recommends suitable study materials, video lectures, practice questions, and revision plans. This helps students concentrate more on areas where improvement is needed.
The assistant also includes a chatbot feature that allows students to ask questions and receive instant answers. This makes learning more interactive and available anytime, reducing dependency on classroom hours. The system provides visual performance reports using graphs and charts, helping students and teachers easily track progress over time.
Another important feature of the system is continuous learning. As more data is collected, the model improves its accuracy and gives better recommendations. This makes the system adaptive and smarter with regular usage.
Overall, the AI-Based Learning Assistant helps in improving academic performance, increasing student engagement, reducing learning gaps, and supporting self-paced learning. This project demonstrates how Machine Learning and Artificial Intelligence can be effectively integrated into the education system to create a modern, flexible, and student-centered learning environment.
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