WWW 2014 Tutorial: Online Learning and Linked Data

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WWW 2014 Tutorial: Online Learning and Linked Data

  1. 1. 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
  2. 2. 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.
  3. 3. 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.
  4. 4. 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.
  5. 5. Programme Part I: Supporting Online Education with Linked Data 1. Using Linked Data for Learning & Education (30-40 mins) - Stefan Dietze 2. Practical session: The LinkedUp catalog, dataset explorer, applications (20-30 mins) - Besnik Fetahu 3. Q&A 4. Coffee break Part II: Development of a curriculum for Linked Data 1. Development of a Linked Data curriculum (20 mins) - Alexander Mikroyannidis 2. Delivering Linked Data training to data science practitioners (20 mins) - Marin Dimitrov 3. Practical session: Evaluation of a EUCLID online course (30 mins) - Alexander Mikroyannidis 4. Q&A and wrap-up (20 mins)

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