An Adaptive and Customizable Feedback System for Intelligent Interactive Learning Systems

This paper describes a proposal to build an intelligent feedback selection system for Intelligent Interactive Learning Systems (IILS). The system is aimed at generating multimodal feedback in real-time as a response to student's actions. We examine both educational and human factors that have influence on the behavior and let the instructor decide the significance of each factor. The instructor will customize the system to refine its behavior in each training session, and while the system decides which the appropriate feedback is, the instructor can focus on other instructional tasks.