Intelligent Technologies for Personalized Practice Systems

Abstract

Personalized practice systems focus on supporting self-organized learning in a free practice mode. Adapting to the learners’ knowledge and goals, these systems help them navigate the increasing volumes of smart learning content, guide them to practice opportunities that are most appropriate to their level of knowledge and increase their motivation to practice. In this paper, we distill the experience generated by 20 years of research on personalized practice systems into a set of AI-based technologies that make these systems efficient, engaging, and user-friendly.