A Linked-Data-Driven Web Portal for Learning Analytics: Data Enrichment, Interactive Visualization, and Knowledge Discovery
In this paper, the authors present a linked-data-driven web portal for the field of learning analytics. The portal allows users to browse the linked datasets and explore data about researchers, conferences, and publications. Additionally, users can interact with various dynamic visualization applications and perform analysis, e.g., study temporal change of research trends. Based on the provided datasets on Learning Analytics and Knowledge (LAK) and Educational Data Mining (EDM), they enriched the data with geospatial locations of research institutes, topics extracted from papers, and the expertise of researchers.