The future of tech and education; will we still need teachers?

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A look at how smart systems, predictive algorithms, emergent behaviours and other new tech might affect the role of teachers and schools in the coming century.

A look at how smart systems, predictive algorithms, emergent behaviours and other new tech might affect the role of teachers and schools in the coming century.

More in: Education , Technology
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  • We are already moving towards delivery that is multimodal and blended, using technology to enhance, enrich and stretch experiences, but underneath this is the potential for tech to radically personalise learning, creating a learning story for each individual that is not only lifelong, but is smart and adaptive, responding to and changing as your life changes and your circumstances alter. But also anticipating and knowing what you need when you need it and basing all of this on your past, your family, your postcode, your life choices and so on and casting it’s insight onto your grandchildren. Once this system is in place, how will it view the needs of children in the context of society as it understands it? If financial systems are already behaving in baffling ways, how will this machine behave?

    The big question for me is, what will the machine choose for YOUR grandchildren?

    And so, Teachers, how will your role and how will schools change?
  • Thank you – Questions?


  • 1. Will we still need teachers? A Provocation by Richard Adams
  • 2. Twenty+ years in digital Coder Product Development Director Creative Director Digital Architect/ Strategist Programme Manager  Visiting Senior Fellow at University of Lincoln  Recently Senior Academic Program Manager at Microsoft Studios  Worked with Marc Lewis to create and be initial Principal of School of Communication Arts 2.0  Birkbeck College - Taught Digital Creativity to MA/MSc business students  Former Visiting professor of Digital at Salford University  Founding Head of Digital Arts at Thames Valley University Taught, coding, gameplay design, critical theory, digital art and more  External examiner at two universities  Qualified and experienced school teacher of Art and Music  Qualified trainer/assessor in the workplace
  • 4.
  • 5.
  • 6. Church Industry Big State Centralization/ Decentralization Our education system reflects our society
  • 7. Data Big Analytics The second economy – machine to machine The new economics of money The social economy Mobile economy Security Behavioural ScienceHORSEPOWER TO BRAINPOWER THE 8 PILLARS OF THE NEW ECONOMY
  • 8. The 1000lb Gorilla Big Data & Behavioural Science
  • 9. (This is being trialled in Korea)
  • 10.
  • 11. Predictive tech
  • 12. Photo by Alamy network/teacher-blog/2013/jun/19/technology-future- education-cloud-social-learning
  • 13. Multimodal/ Blended learning Short courses online Deeper online engagement – leverage of existing and private networks Collaborative learning – built in course development New forms of qualifications externally delivered In-partner delivery New tech for delivery Lectures/ worskhops Hangout tutorials Free, Freemium, Sponsored and Paid Iterative
  • 14. Here's what I think (AndIamunlikelytobearoundtocollectonbets) In 50 years time…. A true and deep blend of online and real world instruction delivered via tech and real teachers, still teaching Image analysis (Art), automated text and voice analysis of presentations and essays delivered virtually, virtual personal exchange environments for presentations, no language barriers, marking and grading done by machine We will have full datasets on each pupil and adult able to suggest what we should be learning and pushing us down the next chapter of our learning story, following each person through life
  • 15. In 100 years time schools exist solely as places for human socialisation with people as moderators… the role of teachers changing/diminishing What you need to learn will be predicted and delivered, organised and setup automatically throughout your life Education primarily delivered and accessed from wherever the student is based. Your actual and likely behaviour is understood and predicted Schools become social spaces for human to human interaction Kids go there to learn to validate, mix and get on with people. Merging of schools and Uni’s as learning is totally lifelong and embedded for social utility reasons Kids will need counsellors, guides and mentors “Schools” could be anywhere in any institution Here's what I think (2) (AndIwilldefinitelynotbearoundtocollectonbets)
  • 16. Thank You
  • 17. Appendices
  • 18. Probability of jobs disappearing 1. Telemarketer Probability of Automation: 99% 2. Loan Officers Probability of Automation: 98% 3. Receptionist Probability of Automation: 96% 4. Paralegals and Information Clerks Probability of Automation: 94% 5. Bike Repairer Probability of Automation: 94% 6. Retail Salesperson Probability of Automation: 92% 7. Automotive Body Repairer Probability of Automation: 91% 8. Real Estate Appraisers Probability of Automation: 90% 9. Bakers Probability of Automation: 89% 10. Construction Laborers Probability of Automation: 88% 11. Carpet Installers Probability of Automation: 87% 12. Subway and Streetcar Operators Probability of Automation: 86% 13. Power Plant Operators Probability of Automation: 85% 14. Tailors, Dressmakers, and Customer Servers Probability of Automation: 84% 15. Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters Probability of Automation: 83% by-technology.html
  • 19. So, how the bloody hell does Big Data work? Take a pot of data, mix it with an understanding of behaviour, stir in an ontology and leave it to cook or generate probabilities.
  • 20. You have all these ingredients and you can make many pizzas from different choices and mixes.
  • 21. You can analyse things like frequency of use and popularity, seasonality of ingredients and so on
  • 22. You can then look at delivery, postcodes, social factors, times, calendar events
  • 23. You can then create an ontology that has all the ingredients in and all the other factors, variables, weightings and so on
  • 24. As your dataset grows over time you can start using techniques such as Bayesian probability to make accurate forecasts that given a set of circumstances it is highly likely that X will happen. This of course can be automated…