Online Learning and Linked Data – Lessons Learned and Best Practices

www.euclid-project.eu/events/online-learning-and-linked-data-www2014

Organisers: Alexander Mikroyannidis, Stefan Dietze, John Domingue

Guest speakers: Marin Dimitrov, Besnik Fetahu

Background image: © Sandor Kacso | Dreamstime.com

Motivation

• There is a growing demand for Data Scientists possessing skills and detailed knowledge in Linked Data.

• Open Educational Resources (OERs) and MOOCs are changing the landscape of education online.

Tutorial scope

• Ways in which Linked Data principles and technologies can be used to support online learning and create innovative educational services will be explained.

• We will in particular rely on the data catalogue, use cases and applications considered by the LinkedUp project.

Tutorial scope (contd.)

• New online learning methods will be taught for supporting the teaching of Linked Data.

• The lessons learned and the best practices derived from designing and delivering a Linked Data curriculum by the EUCLID project will be discussed.

ProgrammePart I: Supporting Online Education with Linked Data1. Using Linked Data for Learning & Education (30-40 mins) - Stefan

Dietze2. Practical session: The LinkedUp catalog, dataset explorer,

applications (20-30 mins) - Besnik Fetahu3. Q&A4. Coffee break

Part II: Development of a curriculum for Linked Data5. Development of a Linked Data curriculum (20 mins) - Alexander

Mikroyannidis6. Delivering Linked Data training to data science practitioners (20

mins) - Marin Dimitrov7. Practical session: Evaluation of a EUCLID online course (30 mins) -

Alexander Mikroyannidis8. Q&A and wrap-up (20 mins)