Using problem-based learning and learning analytics in open data education

Open Data initiatives worldwide are boosting with an aim to increase transparency and contribute to economic growth. With a global annual economic potential value estimated to $3 trillion, this boost seems justified. Current progress however is not satisfactory. We believe a main reason is the lack of relevant skills and competencies. Current education and training activities are scarce and do not exploit practice-oriented learning methods such as Problem Based Learning (PBL) or novel assessment opportunities such as Learning Analytics (LA). As a result, stakeholders are missing skills related to publishing and reusing Open Data. The aim of this tutorial is to introduce to the audience Open Data education and training based on the PBL strategy and by exploiting LA for performance assessment. We will present a curriculum structure and learning content on Open Data for academia, business and the public sector that can be reused by all interested stakeholders. We will also demonstrate a university and a VET course model that have been designed in order to facilitate innovative and data-driven Open Data education and training. Finally, we will share lessons learnt from the practical application of the above in universities and businesses across multiple European countries.