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Big Data in Education


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Big Data in Education

  1. Alfred Essa Director, Analytics Research and Strategy Desire2Learn Inc. B(ig) D(ata) in E(ducation)∳
  2. Why? problems we expect to solve What? approach in education Demo student success system
  3. Less Data, More Insights
  4. Preliminaries∳
  5. • Education needs an enduring technology partner • Supporting learners lifelong • 24/7 service and support • 14 available languages • Now over 800 employees worldwide • Global SaaS capabilities • Over 8 Million Clients WW Desire2Learn Inc.
  6. Full Suite of Learning Technology Desire2Learn  Learning  Pla.orm Learning   Environment Lifelong ePor.olio Repository  &   Discovery Advanced   Analy<cs Binder  &   Mobile  Apps Capture  &   Mul<media Other   Analy<cs  and     Data  Sources 3rd  Party Applica<ons Publisher   Content Authen<ca<on Systems SIS  and  HR Systems Desire2Learn  Valence  -­‐  Open  Web  Services,  APIs,  Integra<on  Packs  and  Standards
  7. Why?∳
  8. “As a disruptive innovation—an innovation that transforms a sector from one that was previously complicated and expensive into one that is far simpler and more affordable—the rise of online learning carries with it an unprecedented opportunity to transform the schooling system into a student-centric one that can affordably customize for different student needs by allowing all students to learn at their appropriate pace and path, thereby allowing each student to realize her fullest potential.” Clayton Christensen
  9. Seth Godin “As we get ready for the ninety-third year of universal public education, here’s the question every parent and taxpayer needs to wrestle with: Are we going to applaud, push, or even permit our schools (including most of the private ones) to continue the safe but ultimately doomed strategy of churning out predictable, testable, and mediocre factory workers?”
  10. “The next stops, I believe, are education, financial services, health care, and then ultimately government— the huge swaths of the economy that historically have not been addressable by technology, that haven’t been amenable to the entrance of Silicon Valley-style software companies. But increasingly I think they’re going to be.” Marc Andreessen
  11. Problem: Iron Triangle in Education
  12. Quality Cost Access
  13. solution: analytics at scale
  14. problem: changing business model
  15. volume value
  16. solution: analytics as accountability
  17. problem: diversity of learners
  18. homogeneous heterogeneous
  19. solution: analytics as personalization
  20. problem: education sucks
  21. solution: analytics powers interactive, immersive learning
  22. conclusion: analytics is focal point of innovation in education
  23. What?∳
  24. Every breath you take Every move you make Every bond you break Every step you take I will be watching you Data Internet Philosopher Sting
  25. informationvalue insight Risk Forecasting Predictive Modeling what will happen? STAGE TWO ReportingData Access what happened? what is happening? STAGE ONE Optimization Strategy what do i want to happen? STAGE THREE Analytics Maturity
  26. optimization means finding the best path among multiple options
  27. who is under-prepared for college? who is under-prepared for class? who won’t remain in class? who won’t re-register? who won’t pass a class? who won’t have a high GPA? who won’t pass a class? who won’t remain in a program? who won’t graduate? who won’t get a job who won’t get a high-paying job? Student Success Lifecycle Identify the Students Understand the Cause Apply Intervention Track Success
  28. Demonstration∳
  29. a 360-view of student academic progress, including risk Student Success System
  30. interrogate the data understand the problem consult with others prescribe a course of treatment track the success
  31. Let’s Make Education Dance! Thank You∳ linkedin: alfred essa twitter: @malpaso