John Domingue. Developing rich interactive e books to teach linked open data to professionals: principles and processes
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This document discusses the development of open educational resources on linked open data for professionals. An international team of experts created rich, multimedia interactive eBooks and delivered them through multiple channels including iTunes U. The materials were designed based on industrial needs and used real data and tools. Usage was monitored through social media and forums. Future work includes deploying the resources in new contexts like an EU job skills dashboard. The team's work successfully addressed the need for more data science skills.
John Domingue. Developing rich interactive e books to teach linked open data to professionals: principles and processes
- 1. Developing Rich Interactive eBooks to Teach Linked Open Data to Professionals: Principles and Processes John Domingue, Knowledge Media Institute, The Open University STI International St Petersburg, March 10, 2014 07/04/2014 1
- 2. Overview • Motivation • Design and delivery principles • Channels • Process • Results • Monitoring • Future Work • Summary 07.04.2014 2
- 5. Motivation (3/3) Percentage increase in staff over next 2 years Approach taken to increasing staff Big Data Analytics talent gap staff survey
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- 9. Design Principles Industrial relevance Team curriculum design External collaboration Explicit learning goals Use of realistic solutions Use of real data Use of real tools Show scalable solutions Eating our own dog food 07.04.2014 9
- 10. Delivery Principles Multiple Channels Open to format Addressability Integrated High quality Self-testing and reflection 07.04.2014 10
- 13. OU iTunes U Stats • Open University on iTunes U was launched on 3rd June 2008 • Now 58 iTunes U Courses • 65,138,000 downloads • Over 9,015,700 visitors downloaded files • Currently averaging 80,000-300,000 downloads a week • 449 collections containing 3,485 tracks (1,638 audio, 1,847 video) and 27 extras (PDF) • 423 OpenLearn study units as eBooks (ePub), representing over 5,000 hours of study • Currently delivering an average of 0.3-1 TB of data a week
- 16. Expert Opinion Gathering 07.04.2014 16 Data science curriculum session
- 17. Process Model Collection of Raw Chapter Materials Learning Objectives Slides First Version Webinar – First Recording Slides – Final Version Webinar – Final Recording Initial Version of eBook Chapter Pre-final Version of eBook Chapter Final eBook Chapter and online course
- 19. Modules 07.04.2014 19 • Introduction and application scenarios • Querying Linked Data • Provisioning Linked Data • Interaction with Linked Data • Building Linked Data applications • Scaling up
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- 27. iTunes U Course 07.04.2014 27
- 29. Dataflow
- 30. Data Harvesting • Twitter – keywords-based search & monitoring • LinkedIn groups – Linked Data Web, Semantic Web, ‘Ontologies, OWL-S, SPARQL interest group’, Semantic Technologies Group, Semantic Technologies, OWL/RDF • W3C mailing lists – SemanticWeb, LOD, Government Linked Data, Public-idp, Public-ldp-wg, LifeScience, RDF Stream processing, Semantic Open Data, Semantic Web Activity • SlideShare - not monitored yet (RSS feed is useless) #30Social Media Monitoring Platform v.2 Dec 2013
- 31. Monitoring Numbers • 185,000 tweets • 773 linkedIn posts • 898 messages from the W3 mail lists 07.04.2014 31
- 38. www.ict-forge.eu @ICT_FORGE FORGE is bringing the FIRE and eLearning worlds together FIRE (Future Internet Research and Experimentation) high-performance test-beds Forging Online Education through FIRE
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- 42. Summary • Need to fill skilled data scientists gap • Successful development and deployment of open educational resources – Multi-skilled course team – Strong links to industrial requirements – Rich multimedia interactive eBooks – Explicit learning goals – Real data and tools – Multi channel delivery • Linked data based monitoring • Future work to deploy in new contexts – EU job skills dashboard 07.04.2014 42
- 43. The team Thanks to all contributors! Alexander Mikroyannidis, OU Alice Carpentier, STI-R Andreas Harth, KIT Andreas Wagner, KIT Andriy Nikolov, fluidOps Barry Norton, Ontotext Alex Simov, Ontotext Marin Dimitrov, Ontotext Daniel M. Herzig, KIT Elena Simperl, STI-R/Univ. of Southampton Günter Ladwig, KIT Inga Shamkhalov, KIT Jacek Kopecky, OU John Domingue, OU Juan Sequeda, Capsenta/University of Texa Kalina Bontcheva, University of Sheffield Lyndon Nixon, STI-R Maria Maleshkova, KIT Maria-Esther Vidal, Univers. Simon Bolivar Maribel Acosta, KIT Michael Meier, fluidOps Ning Li, OU Paul Mulholland, OU Peter Haase, fluidOps Richard Power, OU Steffen Stadtmüller, KIT 07.04.2014 43
- 44. 44 @euclid_project euclidproject euclidproject http://www.euclid-project.eu Other channels eBook Course