We’ve all seen the generative art produced by Google’s Deep Dream project. What would a curriculum generated by an AI look like? Could we use the digital exhaust of learner and institutional data to improve teaching and learning outcomes? What new ethical issues would this raise? Slides for my talk from the BETT 2017 Learn Live: HE stage.
2. Deep Dreaming of AI in Education
1. Where are we now?
2. Rise of the robots
3. Loving the alien?
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3. I am not a robot
3Deep Dreaming of AI in Education – BETT 201727/01/2017
4. I am not a robot
4Deep Dreaming of AI in Education – BETT 201727/01/2017
Deep dreaming of AI in education:
› Reference source
– Alexa, what phase of the moon is it today?
– OK Google, is the numerator the number on the top?
› Coach and trainer
– Hey Martin, it’s time we practised French
– Hey Martin, I noticed your test scores are down a little – want any
help with differential equations?
› Steering interventions
– Message for personal tutor – I’m a bit worried about Martin, he’s
hardly attending lectures and not used theVLE for three weeks
CC BY-ND Flickr user chijs
5. I am not a robot
5Deep Dreaming of AI in Education – BETT 201727/01/2017
Deep dreaming of AI in education:
› Reference source
– Alexa, what phase of the moon is it today?
– OK Google, is the numerator the number on the top?
› Coach and trainer
– Hey Martin, it’s time we practised French
– Hey Martin, I noticed your test scores are down a little – want any
help with differential equations?
› Steering interventions
– Message for personal tutor – I’m a bit worried about Martin, he’s
hardly attending lectures and not used theVLE for three weeks
› Let me know what you think
– Go to bit.ly/bett2017edai and leave a question / comment
CC BY-ND Flickr user chijs
6. 1. Where are we now?
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7. Where are we now?
About Jisc
› Registered charity championing the use of digital technologies in
research, education & skills
› Shared services, national deals, advice & guidance:
– Janet, the UK’s research & education network, eduroam wireless roaming
– Helping institutions to achieve efficiency gains through digital technology, e.g.
sector deals for Microsoft Office365 & Azure cloud services
– Major initiatives right now in research data, digital capability & learning analytics
– Embracing your ideas through co-design to make new digital solutions
› My role:
– Generating & channelling new ideas
– Building partnerships to bring them to fruition
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8. Where are we now?
Learning analytics
› National service under development
– Open architecture – partnering not competing with
learning analytics system vendors
› Building a library of advice & guidance
– Jan 2017 - briefing note on the evidence base
– Review of UK & international practice
– Code of practice & review of legal / ethical issues
› Supporting the Learning Analytics Network
community
– Next meeting Feb 22d in Exeter
› Find out more: analytics.jiscinvolve.org
8Deep Dreaming of AI in Education – BETT 201727/01/2017
9. Where are we now?
Learning analytics:
› National service under development
– Open architecture – partnering not competing with
learning analytics system vendors
› Building a library of advice & guidance
– Jan 2017 - briefing note on the evidence base
– Review of UK & international practice
– Code of practice & review of legal / ethical issues
› Supporting the Learning Analytics Network
community
– Next meeting Feb 22d in Exeter
› Find out more: analytics.jiscinvolve.org
9Deep Dreaming of AI in Education – BETT 201727/01/2017
10. Where are we now?
10Deep Dreaming of AI in Education – BETT 201727/01/2017
Startups and scaleups
› Jisc Startups competition
– Six month accelerator
programme
– £20K package including cash
grant and mentoring
› The winners will be
pitching at Digifest
– Birmingham March 14th-15th
– Tickets are free to Jisc
supported organisations
– We’d love to see you there!
www.jisc.ac.uk/digifest
11. Where are we now?
11Deep Dreaming of AI in Education – BETT 201727/01/2017
Startups and scaleups
› Case study: Learnometer
– Using environmental data to improve lives
& learning outcomes
– Based on research by Prof Stephen Heppell
– Find out more at stand G100 +
learnometer.net
– Leave us a card to register your interest,
and you could win a Learnometer
12. Where are we now?
12Deep Dreaming of AI in Education – BETT 201727/01/2017
Startups and scaleups
› Case study: Learnometer
– Using environmental data to improve lives
& learning outcomes
– Based on research by Prof Stephen Heppell
– Find out more at stand G100 +
learnometer.net
– Leave us a card to register your interest,
and you could win a Learnometer
13. 2. Rise of the robots
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14. Rise of the robots
14Deep Dreaming of AI in Education – BETT 201727/01/2017
Photo CC BY-NC Flickr user feuilllu
Photo CC BY-NC Flickr user nestle
› Pepper acts as greeter in 140+ SoftBank stores in Japan
› Nestlé planning to introduce in 1000+ sales outlets
15. Rise of the robots
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16. Where are we now?
16Deep Dreaming of AI in Education – BETT 201727/01/2017
Photo CC BY-NC Flickr user greenplasticamy
› Amazon uses over 30,000 robots already in its
warehouses and distribution centres
17. Where are we now?
17Deep Dreaming of AI in Education – BETT 201727/01/2017
Photo CC BY-NC Flickr user greenplasticamy
› Amazon uses over 30,000 robots already in its
warehouses and distribution centres
18. Where are we now?
18Deep Dreaming of AI in Education – BETT 201727/01/2017
Photo CC BY-ND Flickr user chijs
Photo CC BY-NC-SA Flickr user portalgda
› Tesla owners have already driven over 140m miles on Autopilot
› 90,000+Teslas with Autopilot are already on the road
19. Where are we now?
19Deep Dreaming of AI in Education – BETT 201727/01/2017
Photo CC BY-ND Flickr user chijs
Photo CC BY-NC-SA Flickr user portalgda
› Tesla owners have already driven over 140m miles on Autopilot
› 90,000+Teslas with Autopilot are already on the road
20. Where are we now?
20Deep Dreaming of AI in Education – BETT 201727/01/2017
Google DeepMindAI learns to play Breakout
21. Where are we now?
21Deep Dreaming of AI in Education – BETT 201727/01/2017
Blind man takes solo ride in Google self-driving car
22. 3. Loving the alien?
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23. Loving the alien?
23
Pros and cons:
› You might be surprised at just how much
more can be automated
› Further erosion of unskilled and semi-skilled
employment opportunities
– Watch out if your white collar job can be reduced to an
algorithm or “learned” from data
› “New Luddites” throwing stones at the
Google bus?
– LivingWage versus mass unrest
– Psychological need for a greater purpose
› Health implications of sedentary lifestyles,
musculoskeletal disorders
– Already 86% of Chinese high school students are
myopic – screen time & indoor play?
Deep Dreaming of AI in Education – BETT 201727/01/2017
CC BY Flickr user boykoblagoev
24. Loving the alien?
24
Pros and cons:
› Tech has always been about extending our reach
– VR will let teleport us across the planet & let us explore
distant stars
› There will be whole new careers & existing ones will
change beyond recognition
– We should view this as an opportunity, e.g. smart homes need
smart plumbers & smart electricians
› Time to move beyond archaic nation state concepts?
– Brexit vs. Estonian e-residency
› We will need to embrace portfolio careers &
continuous learning
– Bite sized learning will become increasingly important
Deep Dreaming of AI in Education – BETT 201727/01/2017
CC BY-ND Flickr user chijs
25. Loving the alien?
25
Pros and cons:
› Tech has always been about extending our reach
– VR will let teleport us across the planet, and let us explore
distant stars
› There will be whole new careers, and existing ones
will change beyond recognition
– We should view this as an opportunity, e.g. smart homes
› Time to move beyond archaic nation state concepts?
– Brexit vs. Estonian e-residency
› We will need to embrace portfolio careers and
continuous learning
– Bite sized learning will become increasingly important
Deep Dreaming of AI in Education – BETT 201727/01/2017
CC BY-ND Flickr user chijs
26. Loving the alien?
26
Pros and cons:
› Tech has always been about extending our reach
– VR will let teleport us across the planet, and let us explore
distant stars
› There will be whole new careers, and existing ones
will change beyond recognition
– We should view this as an opportunity, e.g. smart homes
› Time to move beyond archaic nation state concepts?
– Brexit vs. Estonian e-residency
› We will need to embrace portfolio careers and
continuous learning
– Bite sized learning will become increasingly important
Deep Dreaming of AI in Education – BETT 201727/01/2017
CC BY-ND Flickr user chijs
27. Loving the alien?
27Deep Dreaming of AI in Education – BETT 201727/01/2017
CC BY-ND Flickr user chijs
Deep dreaming of AI in education:
› Reference source
– Alexa, what phase of the moon is it today?
– OK Google, is the numerator the number on the top?
› Coach and trainer
– Hey Martin, it’s time we practised French
– Hey Martin, I noticed your test scores are down a little – want any
help with differential equations?
› Steering interventions
– Message for personal tutor – I’m a bit worried about Martin, he’s
hardly attending lectures and not used theVLE for three weeks
› Let’s see what you had to say
– Your comments and questions at bit.ly/bett2017edai
28. Continue the conversation…
28
Except where otherwise noted, this
work is licensed under CC-BY
Martin Hamilton
Futurist, Jisc, London
@martin_hamilton
martin.hamilton@jisc.ac.uk
Deep Dreaming of AI in Education – BETT 201727/01/2017