Adaptive Learning Systems: AI-Driven Personalized Education
Machine Learning Approaches for Individualized Learning Paths
Penulis: Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Sarah Chen, Ph.D., Dr. Ahmad Wijaya, S.T., M.T.
Informasi Konferensi
Konferensi: International Conference on Artificial Intelligence in Education (AIED)
Tanggal: 2024-06-25
Lokasi: Tokyo, Japan
Abstrak
Abstract
This paper presents the development and evaluation of adaptive learning systems using artificial intelligence to create personalized education experiences. The system employs machine learning algorithms to analyze student behavior, performance patterns, and learning preferences to dynamically adjust learning content and pacing.
Key Contributions:
- Novel reinforcement learning approach for curriculum adaptation
- Multi-modal student modeling incorporating cognitive and affective states
- Real-time assessment and feedback mechanisms
- Scalable architecture for large-scale educational deployment
Experimental results show 35% improvement in learning outcomes and 28% increase in student engagement compared to traditional learning management systems.
Kata Kunci
adaptive learning, personalized education, AI in education, machine learning, learning analytics