Adaptive Learning System: Performance-Based Dynamic Learning Model
An adaptive learning system developed in Unity that dynamically adjusts content difficulty based on user performance. The system creates personalized learning pathways and supports intelligent interaction design in educational environments.
- Difficulty-based question classification (Easy, Medium, Hard)
- Real-time adaptation based on user responses
- Personalized learning progression
- Performance tracking and feedback system
- CSV-based logging of user behavior and difficulty transitions
This system demonstrates adaptive learning mechanisms and personalized education models. It supports research in intelligent tutoring systems, learning analytics, and human–computer interaction.
- Unity
- C#
- Data Logging System
- UI System
Video: [Coming Soon..!]
Screenshots: [Coming Soon...!]
Dr. Ayaz Muhammad Hanif
PhD (Design) | Assistant Professor
Researcher in XR, HCI, and Educational Technology