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Solving the Education Crisis with Big Data
The document outlines the development and impact of Edmodo, an educational platform that leverages big data to address the education crisis. It highlights key milestones from its launch in September 2008 to significant user growth and engagement metrics, noting the expansion of its professional development features and global reach. Edmodo has facilitated collaboration among educators and students, processing billions of actions and fostering a vibrant online learning community.
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Solving the Education Crisis with Big Data
- 1. Solving the Education Crisiswith Big Data Crystal Hutter, Edmodo COO
- 3. cloud devices collaboration
- 4. collaboration cloud devices
- 5. devices collaboration cloud
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- 8. 3 Drive Content decisions to the classroom
- 10. “We are launchingEdmodo... NOW!” 8:30 AM September 2008 Edmodo @edmodo September 2008
- 11. Edmodo moves from Chicagoto Silicon Valley November 2009
- 12. Katy ISD inTexas rolls out 1500 mobile devices powered by Edmodo August 2010
- 13. 1 MILLIONTH USER 4thgrader Jeremiah Scarborough from PS 287 in Brooklyn, NY becomes Edmodo’s 1 millionth user December 2010
- 14. Edmodo Communities TakeOff! Phoenix school, Salem, MA launches Global Flat Stanley Project January 2011
- 15. Edmodo Grows asProfessional Development Platform: Teachers from all 50 states and 51 countries join first global user event August 2011
- 16. TOPICS Topics Topics What are you teaching right now? Check-In What are you teaching right now? Check-In Topics What are you teaching right now? Check-In Topics What are you teaching right now? Check-In Topics What are you teaching right now? Check-In
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- 19. 7,000,000 2 Billionth Action 6,000,000 12 million actions occur each day 1 Billionth 5,000,000 Action 4,000,000 2.1 billion total actions stored 3,000,000 1.1 TB 2,000,000 of active data 1,000,000 1 Millionth Action 0 Sep '09 Dec '09 Mar '10 June '10 Sep '10 Dec '10 Mar '11 June '11 Sep '11 Dec '11 Mar '12 User Growth Curve drives data possibilities
- 20. Unique Logins Login Frequency over time monthly snapshot Winter Break Summer Break July '11 Sep '11 Nov '11 Jan '12 Mar '12 At least 4 5 6 7 8 9 At least once in once in 1 3 days 10 days Usage predict seasonal login patterns
- 21. Time on site Activities performed Items shared Groups created … 2 Engagement understand depth of usage
- 22. receiver influencer creator 3 Connectivity identify user interactions