Knowledge-Based Semi-Automatic Selection of Personalized Learning Paths

The main problem of adaptive learning and tutoring is how to select appropriate learning objects (LOs) and sequences of objects, called “Learning path”. In this work we discuss results of our analysis of the research about Adaptive learning and personalized pathways. We propose a knowledge model for semi-automatic learning path generation or selection, based on learners' knowledge, performance, learning styles, competences, preferences, or other learning context properties.