Bringing the Social into Learning with Open Media
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EdMedia2011, the World Conference on Educational Multimedia, Hypermedia and Telecommunications, (Lisbon, June 27 - July 1). Andrew Law (Director, Open Media, Open U)
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Bringing the Social into Learning with Open Media
- 1. Bringing the Social into Learning with Open Media Andrew Law Director Open Media The Open University, UK
- 2. Overview • What is The Open University (OU)? • What is Open Media? • How has it changed over 40 years? • Public and open content • iSpot and SocialLearn • Key lessons, themes and next steps.
- 3. What is the Open University (UK) • Supported, Distance Education • Scale • Quality • Open
- 4. Scale 8,800 15,700 4,200 3,400 167,000 8,400 6,300 Student headcount, 2009/10
- 5. Quality Russell Group 175 1994 Group University Alliance Million+ Group Other 150 Open University 2008 National Student Survey 125 100 75 1.00 1.50 2.00 2.50 3.00 2008 Research Assessment Exercise
- 6. Open • No Barriers • Support the Community • Open Media
- 7. Open Media: Our Charter
- 8. Open Media: Paths into Learning Free, public, educational materials
- 9. Paths: First Steps Science at the OU
- 11. Paths: Anywhere, anytime, mobile Science at the OU
- 12. Paths: Anywhere, anytime, mobile Science at the OU
- 13. Paths: Anywhere, anytime, mobile
- 14. Paths: Discover, share, rate, comment
- 15. Paths: An Example Journey Science at the OU
- 16. Paths: An Example Journey Science at the OU
- 17. Paths: An Example Journey Science at the OU
- 18. Paths: An Example Journey Science at the OU
- 19. Paths: An Example Journey Science at the OU
- 20. Paths: An Example Journey Science at the OU
- 21. Paths: An Example Journey Science at the OU
- 22. Paths: An Example Journey Science at the OU
- 23. Paths: An Example Journey Science at the OU
- 24. Paths: An Example Journey Science at the OU
- 25. Paths: An Example Journey
- 26. Paths: An Example Journey Science at the OU
- 27. Lessons for OU: Content
- 28. Lessons for OU: Content ‘Ontological and Semantic Analytic Framework for Conceptualising Bio-systems Functionality’ or ‘The Meaning of Life’
- 29. Lessons for OU: Content discoverable targeted concrete offer
- 30. Lessons for OU: Content discoverable anytime targeted anywhere concrete offer mobile
- 31. Lessons for OU: Content discoverable anytime rate targeted anywhere share concrete offer mobile comment
- 32. Lessons for OU: Content discoverable anytime rate targeted anywhere share concrete offer mobile comment Exploiting the social layer
- 33. Next Steps: Content • Data - Making Data Engaging
- 34. Next Steps: Content • Data - Making Data Engaging • Linked Data – Developing New Services
- 35. Next Steps: Content • Data - Making Data Engaging • Linked Data – Developing New Services • YouTube – Linking Up and Participating
- 36. Next Steps: Content • Data - Making Data Engaging • Linked Data – Developing New Services • YouTube – Linking Up and Participating CHALLENGE: Exploiting the social for awareness but ... are we being ‘social’ in our open learning?
- 38. Next Steps: Networks • Millions interested in nature • Large audiences watch nature TV programmes • Vast wealth of OERs on nature • Existing Communities • How can we engage?
- 39. Next Steps: Networks Science at the OU
- 40. Take a photo
- 42. Social Network Status Domain Expert Reputation
- 43. • 12,500 registered users • 150,000 unique visitors • 60,000 observations and 100,000 images of • 5,753 taxa; 4,421 (77%) at species level • 96% observations have received a name
- 46. • Non-OU publishing model - UGC • Catalyst around subject passion • Exploits the strengths of existing communities • Exploits technical features of network (reputation) • Reputation as a proxy for learning achievement? • Prone for mobile
- 47. Reputation received against reputation given for Invertebrates, log-log plot, showing fitted power law (dotted line) with exponent 0.345 and R2 = 0.62.
- 48. Next Steps with iSpot • Mobile • iSpot Nature, History, Art? • But Spotting = Learning? Science at the OU • iSpot Philosophy? SHARE HISTORY OU CHALLENGE: Subject agnostic? Features of SN can we exploit?
- 49. Next Steps: Networks with Paths Interested in Social Learning which is .... AND • Ubiquitous and Open • Content Connecting • Content Agnostic • Crowd/Group Powered • Subject Agnostic • Reputation Tempered • Catalyses Discussion • Catalyses Progression • Socially Powered • Analytics Powered
- 50. Next Steps: Networks with Paths A social learning layer supporting progression on paths with any open media
- 51. User Profile
- 52. Use and Build Paths
- 53. Use and Build Paths screencast
- 59. Open, Recommend, Reputation. Alec George ? Patricia
- 60. Open, Recommend, Reputation. Alec George ? Patricia Andrew
- 61. Open, Recommend, Rep • Paths: Looking at overlaps, linked data and analytics • Recommendations: Can we close gaps, show new? • Reputation: Add to analytics to aid recommendations? • It’s open to content – but is it everywhere?
- 64. Open and Ubiquitous screencast
- 65. Next Steps: Networks with Paths Is it real (yes), does it work (yes), is it effective (pilots) BUT .... • Ubiquitous and Open • Content Connecting • Content Agnostic • Crowd/Group Powered • Subject Agnostic • Reputation Tempered • Catalyses Discussion • Catalyses Progression • Socially Powered • Analytics Powered
- 69. Future Learning at the Open University? • Scale Social Learning • Quality • Facilitated by machine • Open • Powered by people
- 70. Bringing the Social into Learning with Open Media Thanks to the following: iSpot Team: Especially Doug Clow, Jonathan Silvertown Social Learn Team: Especially Simon Buckingham-Shum, Mark Glaister and Rebecca Ferguson THANKYOU