Institutional Future  of Social Media        Dr Ian Boston   University of Cambridge
Social Media ?
Some rights reserved by Maschinenraum
Institutional Context• We are people not  buildings• Too late? • Club Penguin,    Moshi Monsters,    GenY
Outsource• “Does Kmart ask  MySpace to tell it  what its  customers  buying patterns  are?”• “Is LinkedIn the  way to buil...
Harvard Catalysthttp://catalyst.harvard.edu/home.html
Institutional Memory
Analysis and Actions
Realistic Scale
Data Gathering• Official Sources,  SIS, HR, Finance• Collaboration  trails• Starving for raw  data
Outsource by default• Nature abhors  a vacuum• Order or  Desire
Its Our Domain• Surprisingly deep• Borrow, beg, buy• Head start
The task ahead• Encourage  Connections• Data gathering• Academic Apps
Encourage Connections  Profiles                   Collaboration                Groups               ColleaguesPublications ...
Data Gathering  Profiles                   Collaboration                Groups                                            A...
Sakai 3 App                                                                            Profiles                       Publi...
Improving Experience   User       Event  Activity   Records Enhanced     Offline   Data      Analysis
Important Maxims• Unbiased Observations.• Original data.• Analysis without expectations• Uncertainty.
Example: Identifying           Interests  User authors                    Content    content                    Created Ev...
Example: Identifying           Behaviour      Usage And                  Normal Expectation                               ...
5 years hence• TL&R tools built to support the needs  of the members of all institutions.• Increasing availability of data...
Upcoming SlideShare
Loading in...5
×

Institutional future of Social Media in Higher Ed

129

Published on

An exploration of the impact of social media on higher education and the

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
129
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Institutional future of Social Media in Higher Ed

  1. 1. Institutional Future of Social Media Dr Ian Boston University of Cambridge
  2. 2. Social Media ?
  3. 3. Some rights reserved by Maschinenraum
  4. 4. Institutional Context• We are people not buildings• Too late? • Club Penguin, Moshi Monsters, GenY
  5. 5. Outsource• “Does Kmart ask MySpace to tell it what its customers buying patterns are?”• “Is LinkedIn the way to build great researcher teams?”
  6. 6. Harvard Catalysthttp://catalyst.harvard.edu/home.html
  7. 7. Institutional Memory
  8. 8. Analysis and Actions
  9. 9. Realistic Scale
  10. 10. Data Gathering• Official Sources, SIS, HR, Finance• Collaboration trails• Starving for raw data
  11. 11. Outsource by default• Nature abhors a vacuum• Order or Desire
  12. 12. Its Our Domain• Surprisingly deep• Borrow, beg, buy• Head start
  13. 13. The task ahead• Encourage Connections• Data gathering• Academic Apps
  14. 14. Encourage Connections Profiles Collaboration Groups ColleaguesPublications Sharing
  15. 15. Data Gathering Profiles Collaboration Groups Activity Data ColleaguesPublications Sharing
  16. 16. Sakai 3 App Profiles Publications Sakai 3 App Sakai 3 App Groups Sakai 3 App Colleagues Sakai 3 App Sakai 3 App Sharing Collaboration Sakai 3 AppSakai Apps Framework Sakai 3 App Sakai 3 App Google Gadget Academic Apps Google Gadget Google Gadget Gadget Activity Data Container Google Gadget
  17. 17. Improving Experience User Event Activity Records Enhanced Offline Data Analysis
  18. 18. Important Maxims• Unbiased Observations.• Original data.• Analysis without expectations• Uncertainty.
  19. 19. Example: Identifying Interests User authors Content content Created EventUser sees related Content created event, is pickedcontent, which authors up by a processor, analyses andare connected, which are categorises the content based onnot, offered to expand word used, generating links tonetwork of collaborators. similar content.
  20. 20. Example: Identifying Behaviour Usage And Normal Expectation Student A Activity throughout the system Student has been identified ashaving erratic engagement withpeers and the course. Mentors, alerted that there may be an underlying cause.
  21. 21. 5 years hence• TL&R tools built to support the needs of the members of all institutions.• Increasing availability of data sets within institutions to further the understanding of TL&R.• Less resource spent on the mundane, more on the unique. Thank you - Questions ?
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×