TITLE:
AI-Integrated Personalized Learning for High School Students
AUTHORS:
Hanh Dinh Thi My, Tu Le Tuan, Bao Nguyen Dinh, Sieu Nguyen Huu
KEYWORDS:
Personalized Learning, Artificial Intelligence in Education, Learning Management Systems (LMS), Blended Learning, Learning Progression
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.13 No.2,
March
11,
2025
ABSTRACT: The 2018 General Education Program in Vietnam emphasizes personalized learning and the application of technology in teaching. This study proposes a customized learning system integrating artificial intelligence (AI) to optimize the learning experience for high school students. The system is designed according to the Client-Server model, including LMS, AI Engine, and learning database. The research method focuses on developing Machine Learning algorithms, precisely the K-Nearest Neighbors (KNN) algorithm, to predict learning outcomes, applying Adaptive Learning to suggest appropriate content, and integrating AI chatbots to support students. In addition, the system also applies facial recognition to take attendance and monitor learning behavior. The research results show that the system helps students have a flexible learning path, increases interaction, and supports teachers to monitor learning progress more efficiently. This model could expand to other levels of education and contribute to promoting digital transformation in education.