Kevin Fuchs erläutert in diesem Video, wie Learning Analytics in INTUITEL funktionieren.
Abstract: In this video we introduce an approach for the creation of adaptive learning environments that give human-like recommendations to a learner. We use ontologies to define pedagogical, didactic and learner-specific data describing a learner’s progress, learning history, capabilities and the learner’s current state within the learning environment. Learning recommendations are based on a reasoning process on these ontologies and are provided in real-time. We also describe an approach to store learning histories as spatio-temporal trajectories and to correlate them with influencing didactic factors. We show how such analysis of spatio-temporal data can be used for learning analytics to improve future adaptive learning environments.