The future of tech and education; will we still need teachers?
-
Upload
richard-adams -
Category
Education
-
view
160 -
download
2
description
Transcript of The future of tech and education; will we still need teachers?
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected] @dickyadamswww.radams.co.uk [email protected]
Will we still need teachers?A Provocation by
Richard Adams
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Twenty+ years in digital
Coder
Product Developmen
t 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 www.schoolcommunicationarts.com
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
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
RICHARD F ADAMS ON KINDLE OR WWW.RADAMS.CO.UK OR @DICKYADAMS
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Church Industry Big State
Centralization/
Decentralization
Our education system reflects our society
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Data
Big Analytics The
second economy
– machine
to machine
The new economic
s of money
The social
economy
Mobile economy
Security
Behavioural
Science
HORSEPOWER TO BRAINPOWER
THE 8 PILLARS OF THE NEW ECONOMY
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
The 1000lb Gorilla
Big Data & Behavioural
Science
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
(This is being trialled in Korea) http://cdn3.dogomedia.com/pictures/6434/content/robot_teacher.jpg?1294953723
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Predictive tech
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Photo by Alamy http://www.theguardian.com/teacher-network/teacher-blog/2013/jun/19/technology-future-education-cloud-social-learning
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
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
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Here's what I think (And I am unlikely to be around to collect on bets)
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
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
In 100 years time schools exist solely as places for human socialisation with people as moderators… the role of
teachers changing/diminishingWhat 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) (And I will definitely not be around to collect on bets)
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Thank You
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected] @dickyadamswww.radams.co.uk [email protected]
Appendices
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
Probability of jobs disappearing 1. Telemarketer Probability of Automation: 99%
2. Loan OfficersProbability of Automation: 98%
3. ReceptionistProbability of Automation: 96%
4. Paralegals and Information ClerksProbability of Automation: 94%
5. Bike RepairerProbability of Automation: 94%
6. Retail SalespersonProbability of Automation: 92%
7. Automotive Body RepairerProbability of Automation: 91%
8. Real Estate AppraisersProbability of Automation: 90%
9. Bakers
Probability of Automation: 89% 10. Construction LaborersProbability of Automation: 88%
11. Carpet InstallersProbability of Automation: 87%
12. Subway and Streetcar OperatorsProbability of Automation: 86%
13. Power Plant OperatorsProbability of Automation: 85%
14. Tailors, Dressmakers, and Customer ServersProbability of Automation: 84%
15. Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters Probability of Automation: 83%
http://www.military.com/veteran-jobs/career-advice/job-hunting/top-15-jobs-threatened-by-technology.html
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected] @dickyadamswww.radams.co.uk [email protected]
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.
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
You have all these ingredients and you can make many pizzas from different choices and mixes.
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
You can analyse things like frequency of use and popularity, seasonality of ingredients and so on
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
You can then look at delivery, postcodes, social factors, times, calendar events
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
You can then create an ontology that has all the ingredients in and all the other factors, variables, weightings and so on
www.radams.co.uk @dickyadamswww.radams.co.uk [email protected]
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…