On conceptualisation and an overview of learning path recommender systems in e-learning
This addresses the problem of enhancing e-learning experiences for students, but it is incremental as it builds on existing concepts without introducing new paradigms.
The paper investigates methods for creating learning path recommender systems in e-learning to facilitate student learning and understanding, presenting a common conceptual framework and embedding five different recommenders.
The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ways to create a recommender system. They all aim at facilitating the learning and understanding of a student. We present a common concept of the learning path and its learning indicators and embed 5 different recommenders in this context.