1. Demo for McMillan Publishing

2. Salon started in 2007 when we were Musing about Two Ancient Conundra: Can we motivate students to read? Can we monitor their reading? We turned these ancient questions into modern ones: Can we enhance student understanding of texts through social networking? Can we make these social networks contagious?

3. Our core team is Supported by a solid technical team consisting of computer scientists information system designers cognitive scientists Human computer interaction experts Data mining experts

4. And We Built Salon: A technology that transparently links annotation data analysis visualization

5. Leading To: Community building Collective Intelligence Deeper Student Engagement Social learning Efficient and Effective Class Prep Real Time Formative Assessment Instructor Support

6. And all you need to do is to select a book chapter from a repository, upload a document or type a document into a Salon

7. Setting up a course document or book chapter

8. Can import a document from desktop or book repository Set chapter access rights based on authentication or Instructor preferences Set chapter access rights based on authentication or Instructor preferences

9. Documents imported from repository in a personal library with options to add tags and questions

10. Add associated questions Add tags to mark highlighted sections

11. Set time for participation and time to view community annotations Assign same document to multiple groups Salon collects macro annotations summaries from Small salons Assign same document to multiple groups Salon collects macro annotations summaries from Small salons

12. Annotating a course document or book chapter

13. pick the tone as you comment. Salon clusters users based on tone Students and teachers use tags to label content

14. Students respond to Questions Cite textual support Textual support are the breadcrumbs

15. A Community of Peers Community of annotators who formed a group based on their interest in the text

16. Darker Shades Indicate more User Activity Choose the specific users to see common annotations Users and their anchored annotations

17. Visualizing all annotations

18. Salon finds the buzz…. How do you find the places of most concentrated annotation activity

19. 11 out of 35 Users Commented in the Highlighted Areas 11 out of 35 Users Commented in the Highlighted Areas

20. As we relax the requirements for a hotspot we see more hotspots

21. 10 or more

22. 9 or more

23. 8 or more

24. 7 or more

25. 6 or more

26. 5 or more

27. 4 or more

28. 3 or more

29. 2 or more

30. Here are all the annotations

31. Salon detects collective attention which is rare All 35 users annotated over 60% of the text; But no 6 users annotated even the same 5%.

32. Salon Supports Perspectives of Reading Students can select roles – moralists or pragmatists. Salon can filter annotations made from these different perspectives

33. Students identifying as moralists had one pattern of annotations

34. Students identifying as pragmatists had another

35. Salon intelligently cluster all users who provided “similar” comments to “me” Salon intelligently cluster all users who provided “similar” comments to “me”

36. Moralists and pragmatists cited different regions of text to make their case All responses to questions are organized and users select influential comments

37. Social Media and Knowledge Assets

38. Salon Can Form Communities of Readers of Popular Media

39. Students are clustered into groups based on content or tone similarity Get to know the others thru their comments Students are clustered into groups based on content or tone similarity Get to know the others thru their comments

41. Get to know others

42. Salon Combines Social Media and Social Learning Keep track of activities of friends and acquaintances

43. Salon Enables Real Time Tracking of Knowledge Assets Discussions get build on documents Knowledge assets are generated by user assets

44. So much knowledge from user annotations…