• Feb 12, 2015 from 10:00am to 11:00am
  • Location: Online
  • Latest Activity: Aug 31, 2021

Personalization through adaptive technologies

Dr Chris Littlewood, Head of Science, Filtered

Algorithms are now widely used online in order to extract insight from the rich data generated by website users. Their use has spread from search, to marketing & retargeting, and we believe we are on the cusp of their proliferation in online training.

But can the algorithms developed for selecting marketing content be applied usefully to online training? We've drawn on our experience of developing an algorithm to select training content in order to propose some principles for the application of algorithms to online training.

During this session, Chris will be discussing:

  • The use of algorithms to make online training more personalized
  • Perspective on its opportunities and pitfalls
  • How Filtered algorithm carefully selects the content most valuable to each user

Dr Chris Littlewood

Chris worked as a consultant at strategy boutique Mars & Co after completing degrees in physics and maths at Oxford and Cambridge, and conducting research in particle physics at CERN. He has ten years’ experience in strategy development and execution across numerous industries. Chris co-founded Filtered in 2009, with Managing Director Marc Zao-Sanders, and he leads on the science behind the product, particularly the filtering algorithm which powers the platform.

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Making personalized, collaborative learning a reality 
Joel Hellermark, CEO & Founder, Sana Labs 
Collaboration and personalisation are two trends that dominate contemporary thinking about workplace learning. 
Collaborative learning involves synchronous, interactive live sessions with groups of learners, and is powered by social dynamics and community. 
Personalization focuses on self-paced instruction that responds to the unique needs of every learner, and is powered and scaled by AI. 
Is it possible to combine these two? According to Joel it is. In this session, he will explore what it means to combine these two approaches in entirely new ways—using social dynamics to increase engagement while responding to each learner’s needs to improve learning outcomes. Join us to explore the exciting possibilities of personalized, collaborative learning.
Registration link to come