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Machine Learning in Corporate E-learning - Applications and Trends

I gave this talk at Google Developer Day on Machine Learning in Vancouver on April 28, 2018.

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Machine Learning in Corporate E-learning - Applications and Trends

  1. 1. Machine Learning in Corporate E-learning Dr. Stella Lee, Paradox Learning Inc. Photo by Silvio Kundt on Unsplash Trends and Applications
  2. 2. Hello! I am Stella I am here to talk about how organizations use machine learning in e-learning applications.
  3. 3. What to Expect ▫ High level overview ▫ Some background on e-learning ▫ Current trends and applications ▫ This is not a technical talk! Photo by Malte Wingen on Unsplash
  4. 4. Why Should You Care? ▫ Lots of hypes about machine learning and AI in general ▫ One topic concerns the future of work ▫ How do we re-skill and educated our workforce? Photo by Christopher Gower on Unsplash
  5. 5. The Future of Work Photo by rawpixel.com on Unsplash
  6. 6. 1. Current State of Corporate Learning Mostly one-size-fits-all Photo by Natalia Y on Unsplash
  7. 7. 2. Learning Technology is Changing New standards and tools Photo by Émile Perron on Unsplash
  8. 8. SCORM vs. Tin Can Source: http://www.elearninglearning.com/games/scorm/?open-article-id=2653645&article-title=breaking- up-with-scorm--it-s-not-you--it-s-me&blog-domain=theknowledgeguru.com&blog-title=knowledge-guru
  9. 9. 3. Some Applications and Examples What’s hot right now Photo by Andrew Childress on Unsplash
  10. 10. FOUR areas of applications Photo by Sergei Akulich on Unsplash
  11. 11. Chatbots Source: https://obie.ai/
  12. 12. Source: https://obie.ai/
  13. 13. Personalized learning/Recommender Source: https://360ai.nl/
  14. 14. Source: http://zoomiinc.com
  15. 15. Performance Indicator Source: https://www.d2l.com/products/package/performance/
  16. 16. Source: https://www.d2l.com/products/package/performance/
  17. 17. Source: https://www.d2l.com/products/package/performance/
  18. 18. Adaptive Assessment/Feedback Source: http://www.sense.education/
  19. 19. Source: http://www.sense.education/
  20. 20. 4. What Could Go Wrong? Challenges and limitations Photo by Florian Pérennès on Unsplash
  21. 21. Some Concerns and Issues ▫ Predictions too prescriptive ▫ Learning is tricky to predict ▫ Adaptive learning time consuming to build ▫ Difficult to evaluate ▫ Trust and privacy issues ▫ Just because you can, doesn’t mean you should Photo by https://unsplash.com/photos/WEVSu0CB2M4
  22. 22. “Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence –Ginni Rometty Photo by Ricardo Gomez Angel on Unsplash
  23. 23. References and Further Resources ▫ Artificial Intelligence Will Change the Job Landscape Forever - https://www.forbes.com/sites/quora/2017/12/18/artificial-intelligence-will- change-the-job-landscape-forever-heres-how-to-prepare/#5b9d57427f40 ▫ Will Robots Steal Our Jobs? - https://www.pwc.co.uk/economic- services/ukeo/pwcukeo-section-4-automation-march-2017-v2.pdf ▫ Tin Can API - https://xapi.com/ ▫ How xAPI Makes Personalized Learning Possible - http://blog.matrixlms.com/xapi-makes-personalized-learning-possible/ ▫ Diving into the Learning Experience - https://www.arcusys.com/blog/diving-to-the-learning-experience- machine-learning-ai-and-chatbots
  24. 24. References and Further Resources ▫ Obie - https://obie.ai/ ▫ 360 AI - https://360ai.nl/ ▫ Zoomi - http://zoomiinc.com ▫ Brightspace Performance Plus - https://www.d2l.com/products/package/performance/ ▫ Sense – http://www.sense.education/ ▫ Machine Learning and Artificial Intelligence: The future of eLearning - https://elearningindustry.com/machine-learning-artificial-intelligence- future-elearning
  25. 25. Thanks! Connect with me: ▫ https://www.linkedin.com/in/stellal/ ▫ stella@paradoxlearning.com ▫ @stellal Photo by NordWood Themes on Unsplash