Education: the Future

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Nick Shackleton-Jones

Visual romp through the uncertain future of education

Business

Or to put it another way…Prevalence/StrategicFit
Time
Mobile Cloud Social Big Data &
Analytics
Core internet platform
technologies
Internet of Things
AI and Cognitive Technologies
3D & 4D Printing
Blockchains
Nanotechnology
Genomics
Robotics
Drones
Green / renewable energy
Quantum Computing
Virtual & Augmented Reality
Autonomous
Vehicles Smart Grid
Connected Home
Connected Consumer
Smart Cities
Connected Healthcare
Cybersecurity
Automation & the future of work
Future of crime
Sharing economy
Maker economy
Human Augmentation
Future of Money
Healthy life extension
Circular Economy
Future of Institutions
‘X’ocracy
Longevity
Synthetic Life
Human Machine
convergence
The Leisure Society
Future of Transport
De-extinction / Rewilding
Space travel / colonisation
Future of Food & Nutrition
Artificial General Intelligence
Internet of Power / Future Energy

Predicting the future is hard…
Technology
(predictably
changeable)
Humans
(predictably
stable)
?

Predicting the future is hard…
(hint: she’s the only one missing out)

Predicting the future is hard…
(London’s most Instagrammable restaurants.)

Megatrends
1
2
Rapid Urbanisation
Hyper Globalisation
3 Demographic Shifts
4 Accelerating Innovation

Major trends
1
2
The world is whatever you want it to be
Everything changes faster
3 Technology surpasses humanity
4 It’s all connected & captured
5 Everything is engineered

The world is whatever…
The world is
whatever you
want it to be
Cosplay
Gender
Identity
Profiles
Virtual
Reality
Augmented
Reality
Virtual
Goods
Games Social
Media
Bots

Everything changes faster
Everything
changes
faster
The
Singularity
Volatility
Upgrade
Quantum
computing
Solid state
storage
Moore’s
Law
Jobs
change
People
change
jobs
Innovation
cycle

Everything changes faster
(This is, of course, complete BS)

Technology surpasses humanity
Technology
Surpasses
Humanity
Basic
Universal
Income
Automation
Artificial
Intelligence
Future
Skills
Hybrid
Workers

It’s all connected & captured
It’s all
connected &
captured
Control
Blockchain
Online
Activity
Biometrics
GPS
Face
Recognition
RFID Internet
of Things
Big
Data

Everything is engineered
Everything is
Engineered
3D
Printing
Neuro-
enhancers
Nanotech
Biotech Geo-
engineering
Experience
Economy

Workforce trends
1
2
Portfolio jobs
Learn/earn blend
3 Badges (not certificates)
4 Learning elimination
5 Text is dead
6 Learning everywhere
Context not content7

Workforce trends
Portfolio jobs
Learn/earn blend
Badges (not certificates)
Learning elimination
Text is dead
Learning everywhere
Context not content
2
3
4
5
6
7
1

LSE
”Purveyors of Extraordinary
Experiences”

LSE
courses
&
content
Oxbridge,
Ivy League
Experiences
Resources

LSE
”Purveyors of Extraordinary
Experiences”
Value of mechanical and Swiss watches exported worldwide
from 2000 to 2017 (in million Swiss francs)

LSE
”Employee Guidance Systems
since 2020”

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Education: the Future

1. The Future

3. Or to put it another way…

4. Or to put it another way…Prevalence/StrategicFit Time Mobile Cloud Social Big Data & Analytics Core internet platform technologies Internet of Things AI and Cognitive Technologies 3D & 4D Printing Blockchains Nanotechnology Genomics Robotics Drones Green / renewable energy Quantum Computing Virtual & Augmented Reality Autonomous Vehicles Smart Grid Connected Home Connected Consumer Smart Cities Connected Healthcare Cybersecurity Automation & the future of work Future of crime Sharing economy Maker economy Human Augmentation Future of Money Healthy life extension Circular Economy Future of Institutions ‘X’ocracy Longevity Synthetic Life Human Machine convergence The Leisure Society Future of Transport De-extinction / Rewilding Space travel / colonisation Future of Food & Nutrition Artificial General Intelligence Internet of Power / Future Energy

5. Predicting the future is hard… Technology (predictably changeable) Humans (predictably stable) ?

6. Predicting the future is hard…

7. Predicting the future is hard…

8. Predicting the future is hard…

9. Predicting the future is hard… (hint: she’s the only one missing out)

10. Predicting the future is hard… (London’s most Instagrammable restaurants.)

11. Megatrends 1 2 Rapid Urbanisation Hyper Globalisation 3 Demographic Shifts 4 Accelerating Innovation

12. Major trends 1 2 The world is whatever you want it to be Everything changes faster 3 Technology surpasses humanity 4 It’s all connected & captured 5 Everything is engineered

13. The world is whatever… The world is whatever you want it to be Cosplay Gender Identity Profiles Virtual Reality Augmented Reality Virtual Goods Games Social Media Bots

14. The world is whatever…

15. The world is (so, like) whatever…

16. Everything changes faster Everything changes faster The Singularity Volatility Upgrade Quantum computing Solid state storage Moore’s Law Jobs change People change jobs Innovation cycle

17. Everything changes faster (This is, of course, complete BS)

18. Technology surpasses humanity Technology Surpasses Humanity Basic Universal Income Automation Artificial Intelligence Future Skills Hybrid Workers

19. Technology surpasses humanity

20. It’s all connected & captured It’s all connected & captured Control Blockchain Online Activity Biometrics GPS Face Recognition RFID Internet of Things Big Data

21. It’s all connected & captured

22. Everything is engineered Everything is Engineered 3D Printing Neuro- enhancers Nanotech Biotech Geo- engineering Experience Economy

23. Workforce trends 1 2 Portfolio jobs Learn/earn blend 3 Badges (not certificates) 4 Learning elimination 5 Text is dead 6 Learning everywhere Context not content7

24. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 2 3 4 5 6 7 1

25. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 3 4 5 6 7 1 2

26. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 3 4 5 6 7 1 2

27. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 4 5 6 7 1 2 3

28. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 4 5 6 7 1 2 3

29. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 4 5 6 7 1 2 3

30. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 4 5 6 7 1 2 3

31. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 5 6 7 1 2 3 4

32. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 5 6 7 1 2 3 4 The “Great Horse Manure Crisis” of 1894.

33. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 5 6 7 1 2 3 4

34. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 5 6 7 1 2 3 4

35. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 6 7 1 2 3 4 5

36. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 6 7 1 2 3 4 5

37. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 6 7 1 2 3 4 5

38. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content7 1 2 3 4 5 6

39. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content7 1 2 3 4 5 6

40. Workforce trends Portfolio jobs Learn/earn blend Badges (not certificates) Learning elimination Text is dead Learning everywhere Context not content 1 2 3 4 5 6 7

41. Workforce trends 1 2 Portfolio jobs Learn/earn blend 3 Badges (not certificates) 4 Learning elimination 5 Text is dead 6 Learning everywhere Context not content7

42. 4 Provocations

43. LSE ”Purveyors of Extraordinary Experiences”

44. LSE courses & content Oxbridge, Ivy League Experiences Resources

45. LSE ”Purveyors of Extraordinary Experiences” Value of mechanical and Swiss watches exported worldwide from 2000 to 2017 (in million Swiss francs)

46. LSE ”Employee Guidance Systems since 2020”

47. LSE ”Badges you can Trust”

48. LSE ”Integrating learning & work”

49.

50. The Future

Editor's Notes

Martin Ford – rise of the robots
Picture this: I have arrived at Waterloo train station, but have a little time before my first meeting of the day. The data that is held online about me reflects that I like to drink coffee in the mornings, that there is a coffee shop at Waterloo station, and that my favourite beverage is a caramel latte. It also knows that I am currently at Waterloo station (via geo-location) and have a little time before my next meeting (since I use Google calendar). As I arrive at Waterloo a notification pops up on my phone for a 20% discount on a caramel latte. I think ‘why not?’ and head to the coffee store a few paces away.

Education: the Future

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Editor's Notes