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Data4Ed - How data sharing, curation and analytics support innovation in education
This document discusses how data sharing, curation, and analytics can support innovation in education. It describes how the Open University connects data across different systems like its library catalog, course catalog, and research repositories using semantic technologies and linked data. This integrated data allows for applications like simple maps of university buildings, course recommendations, learning analytics, and personal analytics. Challenges include data heterogeneity, access, and curation. Lessons from smart cities are discussed, like flexible data infrastructures that allow diversity. The goal is supporting the entire learning lifecycle by making rich data available and answering questions like "how can I become X?".
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Data4Ed - How data sharing, curation and analytics support innovation in education
- 1. Data4Ed - Howdata sharing, curation and analytics support innovation in education Mathieu d’Aquin @mdaquin Knowledge Media Institute, The Open University data4ed.org
- 2. once upon atime Mathieu Techny
- 3. once upon atime Mathieu Techny We are experts in semantic technologies and linked data - Our own university needs these techniques
- 4. once upon atime Mathieu Techny Stuart Comms We are experts in semantic technologies and linked data - Our own university needs these techniques
- 5. once upon atime Mathieu Techny Stuart Comms We are experts in semantic technologies and linked data - Our own university needs these techniques We spend our time trying to make (potential) students know about us through website… surely there is a better way
- 6. once upon atime Mathieu Techny Stuart Comms Non Lib We are experts in semantic technologies and linked data - Our own university needs these techniques We spend our time trying to make (potential) students know about us through website… surely there is a better way
- 7. once upon atime Mathieu Techny Stuart Comms Non Lib We are experts in semantic technologies and linked data - Our own university needs these techniques We spend our time trying to make (potential) students know about us through website… surely there is a better way We keep cataloguing things in different systems and models - We really should be better at exploiting our own data assets
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- 9. Semantic Technologies Are aboutdata and knowledge representations to make them interpretable and usable by machines, across the web.
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- 11. Data Linked DataSemantic Web
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- 13. Big Campus in Milton Keynes WarehouseLondon Regional Centre South-East regional centre The OUin Scotland ... ... ... ... ... ... The Open University
- 14. Big Campus in Milton Keynes WarehouseLondon Regional Centre South-East regional centre The OUin Scotland ... ... ... ... ... ... The Open University
- 15. Big Campus in Milton Keynes WarehouseLondon Regional Centre South-East regional centre The OUin Scotland ... ... ... ... ... ... registers produces distributes The Open University
- 16. Big Campus in Milton Keynes WarehouseLondon Regional Centre South-East regional centre The OUin Scotland ... ... ... ... ... ... registers produces distributes The Open University
- 17. Library catalogue Books Course material Setbooks Articles Authors Multimedia material Courses Topics Research Repository Articles Authors Books Research Data Topics Research Data Store Research Data Authors Articles Topics Course Catalogue Courses Qualifications Authors Topics Podcast system/iTunesU Multimedia material Authors Topics OER repository Course material Authors Topics Many information systems
- 18. Library catalogue Books Course material Setbooks Articles Authors Multimedia material Courses Topics Research Repository Articles Authors Books Research Data Topics Research Data Store Research Data Authors Articles Topics Course Catalogue Courses Qualifications Authors Topics OER repository Course material Authors Topics Podcast system/iTunesU Multimedia material Authors Topics Many information systems
- 19. Connecting data acrosssystems Library catalogue Books Course material Set books Articles Authors Multimedia material Courses Topics Research Repository Articles Authors Books Research Data Topics Research Data Store Research Data Authors Articles Topics Course Catalogue Courses Qualifications Authors Topics OER repository Course material Authors Topics Podcast system/iTunesU Multimedia material Authors Topics
- 20. Connecting data acrosssystems Library catalogue Books Course material Set books Articles Authors Multimedia material Courses Topics Research Repository Articles Authors Books Research Data Topics Research Data Store Research Data Authors Articles Topics Course Catalogue Courses Qualifications Authors Topics OER repository Course material Authors Topics Podcast system/iTunesU Multimedia material Authors Topics
- 21. Connecting data acrosssystems Library catalogue Research Repository Research Data Store Course Catalogue OER repository Podcast system/iTunesU
- 22. Connecting data acrosssystems Library catalogue Research Repository Research Data Store Course Catalogue OER repository Podcast system/iTunesU HESA / KIS BBC programmes DBLP DBpedia data.gov.uk
- 23. Data.Open.ac.UK Daga et al.(2015) The Open University Linked Data - data.open.ac.uk, Semantic Web Journal
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- 26. Applications - Simple Avery simple map of the buildings of the Open University…. Built in 2 hours… Using data from ordnance survey. b1 b1- address Postcode- mk76aa name “Berrill building” Milton Keynes inDistrict Buckingha mshire inCounty Mk76aa location location lat long 52.024 924 -0.709 726
- 27. d'Aquin et al.(2012) DiscOU: A Flexible Discovery Engine for Open Educational Resources Using Semantic Indexing and Relationship Summaries, Demo at ISWC Applications - Recommendation
- 28. Applications - Recommendation d'Aquinet al. (2012) DiscOU: A Flexible Discovery Engine for Open Educational Resources Using Semantic Indexing and Relationship Summaries, Demo at ISWC
- 29. Applications - LearningAnalytics d'Aquin et al. (2014) Using linked data in Learning Analytics, eLearning Papers, 36 d'Aquin and Jay (2013) Interpreting Data Mining Results with Linked Data for Learning Analytics: Motivation, Case Study and Direction, LAK
- 30. AppliCations - Personal Analytics Collectinglogs of access to resources, websites and services across systems at the Open University. User centric presentation as an “inverted” web analytics. Study of the usefulness of such “consumer”/weblifelog data and its implications http://uciad.info d’Aquin and Thomas (2013) Consumer Activity Data: Usages and Challenges, KMi Tech report d'Aquin et al. (2011) Semantic Technologies to Support the User-Centric Analysis of Activity Data, SDoW 2011 at ISWC 2011
- 31. Thinking about theSystems? Library catalogue Books Course material Set books Articles Authors Multimedia material Courses Topics Research Repository Articles Authors Books Research Data Topics Research Data Store Research Data Authors Articles Topics Course Catalogue Courses Qualifications Authors Topics OER repository Course material Authors Topics Podcast system/iTunesU Multimedia material Authors Topics
- 32. Thinking about theData Model! Course Material
- 33. Thinking about theData Model! Course Material part of part of or relevant to Course
- 34. Thinking about theData Model! Course Material Course part of new edition of
- 35. Thinking about theData Model! Course Material Course part of new edition of new version of
- 36. Thinking about theData Model! Course Material Course part of new edition of new version of authored by Academic staff
- 37. Thinking about theData Model! Course part of new edition of new version of authored by Academic staff Research papers
- 38. Thinking about theData Model! Course Material Course part of new edition of new version of extracted into and made available as authored by Academic staff Research papers
- 39. Thinking about theData Model! Course Material Course part of new edition of new version of Multimedia material part of or relevant to extracted into and made available as extracted into and made available as authored by Academic staff Research papers
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- 41.
- 42. The LinkedUp DataCatalogue
- 43. So, where arewe with it? d'Aquin et al. (2013) Assessing the Educational Linked Data Landscape, ACM Web Science 2013
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- 48. A simple model Person LearnerAuthor Topic Resource Book OER Course Material Multimedia Material Organisation Institution Course affiliated with associated with created Teacher takesregistered with expert in teaches usesstudies about
- 49. A simpler model Person LearnerAuthor Topic Resource Book OER Course Material Multimedia Material Organisation Institution Course affiliated with associated with created Teacher takesregistered with expert in teaches usesstudies about
- 50. A simpler model Person LearnerAuthor Topic Resource Book OER Course Material Multimedia Material Organisation Institution Course affiliated with associated with created Teacher takesregistered with expert in teaches usesstudies about
- 51. A simpler model Person LearnerAuthor Topic Resource Book OER Course Material Multimedia Material Organisation Institution Course affiliated with associated with created Teacher takesregistered with expert in teaches usesstudies about
- 52. A simpler model Person LearnerAuthor Topic Resource Book OER Course Material Multimedia Material Organisation Institution Course affiliated with associated with created Teacher takesregistered with expert in teaches usesstudies about
- 53. A much simplermodel Person Resource to learn about interested in Topic uses contributes to
- 54. A much simplermodel Person Resource to learn about interested in Topic about uses contributes to relates to relates to
- 55. A much simplermodel Person Resource to learn about interested in Topic about uses contributes tointeracts/colla borates with on relates to relates to
- 56. A much simplermodel Person Resource to learn about interested in Topic about uses contributes tointeracts/colla borates with on relates to relates to Not a model of education - a model of learning activities possibly happening outside the educational systems - MOOCs, informal learning, collaborative learning, incidental learning, social learning
- 57. AFEL Analytics For EverydayLearning afel-project.eu
- 58. AFEL - ANalyticsfor Everyday Learning activities data learning activity analytics
- 59. AFEL - ANalyticsfor Everyday Learning activities data learning activity analytics
- 60. AFEL - ANalyticsfor Everyday Learning activities data learning activity analytics
- 61. Challenges Data heterogeneity Data diversity Dataaccess, permission Data curation Data Analytics
- 62. Reusing from SmartCities and IoT http://mksmart.org
- 63. MK Data Hub Analytics Integration Curation Storage Import Sensor Data Local Stats Gov. Open Data ... Mobile Apps Dashboards Business Intelligence SocialWeb Apps ... d'Aquin et al. (2015) Smart Cities' Data: Challenges and Opportunities for Semantic Technologies, IEEE Internet Computing d'Aquin et al. (2014) Dealing with Diversity in a Smart-City Datahub, S4SC
- 64. MK Data Hub Analytics Integration Curation Storage Import Sensor Data Local Stats Gov. Open Data ... Mobile Apps Dashboards Business Intelligence SocialWeb Apps ... d'Aquin et al. (2015) Smart Cities' Data: Challenges and Opportunities for Semantic Technologies, IEEE Internet Computing d'Aquin et al. (2014) Dealing with Diversity in a Smart-City Datahub, S4SC
- 65. Find Data GetData Share Data Develop with Data Create Apps with Data
- 66. Conclusion 1- Build datainfrastructures that are flexible and allow diversity 2- Data sharing enables data analytics 3- => Tackle complex issues in education through making rich data available, to learners, educators and developers, and without a priori judgement of value What’s the real goal? Supporting the whole lifecycle of learning - from decision to realisation. Systems that can answer queries of the form “I want become X, what should I do?” - This is a data problem...
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