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http://tommy.ismy.name/wp-content/uploads/2010/10/The_Eye_of_future.jpg
Learning FuturesEmerging technologies, pedagogies, and contexts
Steve Wheeler@timbuckteeth
Plymouth University, UK
Technology in Higher Education Conference, Doha, Qatar: April 16, 2013
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Image: http://www.astrobio.net
“Any sufficiently advanced
technology is indistinguishable
from magic”.
- Arthur C. Clarke
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Can we predict the Future...?
http://w
esternfrontierblog.wordpress.com
/ “One day every town in America will have a telephone!”
- U.S. Mayor, (c 1880)
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Photo by Steve Wheeler
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http://www.digitaltrends.com
“It is impossible to predict the future with great accuracy” – Michio Kaku
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Where have we come
from?
Photo by Steve Wheeler
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http://www.sabotagetimes.com/life/a-vision-of-the-future-from-1910/
Work 2000
Villemard
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http://www.sabotagetimes.com/life/a-vision-of-the-future-from-1910/
Leisure 2000
Villemard
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http://www.sabotagetimes.com/life/a-vision-of-the-future-from-1910/
Conflict 2000
Villemard
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http://www.cbsnews.com/2300-501465_162-10013397-8.html
Policing 2000
Villemard
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http://www.sabotagetimes.com/life/a-vision-of-the-future-from-1910/
Communication 2000
Villemard
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http://www.sabotagetimes.com/life/a-vision-of-the-future-from-1910/
Learning 2000
Villemard
Disruptive Technology
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“The future is already here — it's just not very evenly distributed” – William Gibson
http://intergalacticrobot.blogspot.co.uk/2012/06/helen-oloy.html
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Where are we
right now?Photo by Steve Wheeler
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Ubiquitous Connectivity
cc S
teve
Whe
eler
, Uni
vers
ity o
f Ply
mou
th, 2
010
http://i.imwx.com
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http://scoop.intel.com/what-happens-in-an-internet-minute/
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Source: InternetWorldStats.com / www.Pingdom.com / www.newmediatrendwatch.com
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245,203,319 internet users in the US
(representing 78.1%) - March 2013
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Social Media use in 2013
>1 Billion (100 billion connections)
>500 Million >150 Million
>14 million
articles
>6 Billion imagesSources from service providers and also http://econsultancy.com
3.5 Billion views/day70 hours/minute
>400 Million
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Learning
User generated
content Stev
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Learning by doing
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Learning 2.0
ToolsCollaborating
Sharing
Voting
Networking
User generated
content
Architecture of participation
Tagging
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http://www.slashgear.com/babys-first-ipad-24121114/
“The average digital birth of children
happens at about six months.”
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http://www.slashgear.com/babys-first-ipad-24121114/
“The average digital birth of children
happens at about six months.”
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Courtesy of Steve Anderson
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http://www.slideshare.net/courosa/why-social-networks-matter
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http://www.slideshare.net/courosa/why-social-networks-matter
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http://www.slideshare.net/courosa/why-social-networks-matter
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http://www.slideshare.net/courosa/why-social-networks-matter
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Learningis changing
http://www.slideshare.net/courosa/why-social-networks-matter
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“If you think of the Web mainly as a place to ‘look up things’, you are
missing the point”. – Alec Couros (2012)
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Where are we headed
next?
Photo by Steve Wheeler
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Future Learning Tools
• 1990: ‘The future is multi-media’• 2000: ‘The future is the Web’• 2010: ‘The future is smart mobile’• 20....: ‘The future is personalised’
hof.povray.org
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The NMC Horizon Project charts the
landscape of emerging
technologies for teaching, learning, research, creative
inquiry, and information
management
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4 to 5 Years
2 to 3 Years
1 Year or Less
Great expectations 2013…
• Massive Open Online Courses• Tablet Computing• Games and Gamification• Learner Analytics• 3D Printing• Wearable Technologies• Tangible computing ? Years
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The First Mobile Phone
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http://www.xianet.net/wp-content/uploads/2011/02/first-mobile-phone.jpg
The ‘Brick’
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Martin Cooper, director of research and development at Motorola, credited the “Star Trek” communicator as his inspiration for the design of the first cell phone in the early 1970s.
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Multimedia brought the world into the classroom...
Smart cell phones will take the classroom into the world.
www.canada.com
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http://www.geeky-gadgets.com
Tangible computing
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Web 1.0: Anything can link to anything
Source: Sabin-Corneliu Buraga www.localseoguide.com
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www.ballroom-dance-chicago.blogspot.com/
Web 2.0: User
participation
Source: Sabin-Corneliu Buraga
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Web 3.0: Existing data re-connected
for other (smarter) uses
http://farm4.static.flickr.comSource: Sabin-Corneliu Buraga
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Web 3.0Semantic Web
Web 1.0The Web
Web x.0Meta Web
Web 2.0Social Web
Degree of Social Connectivity
Deg
ree
of In
form
ation
Con
necti
vity
Adapted from : Nova Spivak
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Web 3.0Semantic Web
Web 1.0The Web
Web x.0Meta Web
Web 2.0Social Web
Degree of Social Connectivity
Deg
ree
of In
form
ation
Con
necti
vity
Connects information Connects people
Connects knowledge Connects intelligence
The (Smart) eXtended Web
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We are already seeing early evidence of the Smart eXtended Web
http://chemistscorner.com
Intelligent Filtering Recommender Systems
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Learning 3.0
Distributed (Cloud) computingExtended smart mobile technologyCollaborative intelligent filtering3D visualisation and interaction
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Future Learning Topology
Distributed (Cloud) Computing
3D Visualisation and Interaction
Smart Mobile Technology
CollaborativeIntelligent
Filtering
Infrastructure
Interface
Tool
Interaction Stev
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http://steve-wheeler.blogspot.com/2012/11/next-generation-learning.html
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Touch or No Touch?
http://www.flickr.com/photos/kmakice/5193637407/
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http://abdtechnology.com/tag/google-glass/
Wearable Technology
Enhanced Vision
Increased connection
Personal Devices
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http://blog.ctnews.com
MIT’s Sixth Sense
Wearable AR
Mixed Reality
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Web meets World
Mash-upGPSQR codes
Camera
Mobile phone
Bar codesBrowser
Projector
GeomappingGeotaggingPersonalised
Ambient
3-D
Video
Navigation
Communication
Haptic
http://www.hearty-india.com/2011/06/pranav-mistry-real-sixth-sense-genius.html
Gestural Computing
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Voice & Movement
Sensor
http://www.beehivecity.com
Voice and natural gesture interface
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Augmented
Reality
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http://www.thecuttingedgenews.com
Multi Gesture Objects
The Touche Video Demonstration
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Photo by Steve Wheeler
Embeddedness
Mob
ility
Mobile Computing
Traditional Computing
UbiquitousComputing
Pervasive Computing
Low High
Source: Lyytinen (2003)
Low
H
igh
The Internet of Things
Object Embedded Intelligence
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Late for meeting?
Under floor sensors track
footfall
Table takes food order and your
payment
Finds best routes with ramp access
Photo and concept by Steve Wheeler
Ubiquitous Computing
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Learner Analytics
http://francescolejones.wordpress.com/category/learning/
Use of intelligent data, learner-produced data, and analysis models to discover information
and social connections for predicting and advising people's
learning.
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http://www.fotopedia.com/items/flickr-5958585066
Mobile Learning
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“We are becoming distributed beings. Mobile makes the trend more explicit.” - Mark Curtis (2005)
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What does this all mean
for us?
Photo by Steve Wheeler
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“The empires of the future
will be empires of the mind.”
– Sir Winston Churchill
http://en.wikipedia.org/
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Flip the roles, not just the classroom
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http://www.infed.org/biblio/b-learn.htm
We learn by teaching
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http://www.slideshare.net/courosa/why-social-networks-matter
GlobalSocial
Personal Stev
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Personalised learning means ensuring that individual differences are
acknowledged
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http://www.homodiscens.com
Howard Gardner
Multiple Intelligences
http://www.excelsiorlearningcenter.com
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We are familyhttp://pro.corbis.com
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Wii are family!
http://wiifitnessdepot.com
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Personal Learning Environment
Source: http://steve-wheeler.blogspot.com/2010/07/anatomy-of-ple.html
Steve Wheeler & Manish Malik (2010)
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Personal Learning NetworksPhoto by Steve Wheeler
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http://bradley.chattablogs.com
“ ‘I store my knowledge in my friends’ …is an axiom for collecting knowledge… through collecting people”.
- Karen Stephenson
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Distributed Learning
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Games Based
LearningGamification
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Photo by Steve Wheeler
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http://www.flickr.com/photos/mrjorgen/5351521340/
“When we play games we rapidly solve abstract problems in real time ...while being continually assessed ... and often working collaboratively…”
- Graham Brown-MartinLearning without Frontiers (Jan 2012)
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What do we need to
consider?
Photo by Steve Wheeler
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http://farm1.static.flickr.com/117/291379959_594fa8ef70.jpg
BYOD
VLE
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Learners taking notesPhoto: Lori Cullen
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Digital Natives?
The Net
Generation?
http://www.flickr.com/photos/56155476@N08/5667863948/
Homo
Zappiens?
Millennials?
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Power users 14%
Ordinary users 27%
Irregular users 14%
Basic users 45%
Source: Kennedy et al (2010) Beyond Digital Natives and Immigrants: Exploring types of net generation students, Journal of Computer Assisted Learning, 26 (5).
n = 2096, mean age range 17-23 years
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http://truedantalion.blogspot.co.uk/2011/09/silver-surfers.html
Digital Residents or Visitors?
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‘New’ learners are...• more self-directed• better equipped to capture information• more reliant on feedback from peers• more inclined to collaborate• more oriented toward being their own “nodes of production”.
Education Trends | Featured NewsJohn K. Waters—13 December 2011
http://coolshots.blogspot.com/2007_02_01_archive.html
But they need
much more...
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language
Managing online identity
nameimages
netiquettereputation
avatar interaction
privacy
personal data
identity
legacy
reputationname
privacy
images
interaction
http://i.dailymail.co.uk
Learners need ‘digital wisdom’
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http://www.flickr.com/photos/will-lion/3601144842/sizes/l/in/photostream/
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“Lee Harvey and the Wailers”(Lee Harvey did not jam alone)
http://www.myspace.com/hsu/photos/6850630
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“60% of all Internet pages contain
misleading information.”
- Thomas Edison
Learners need ‘digital literacies’
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Not only skills... ...Literacies
Photo by Steve Wheeler
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Learners will need new ‘literacies’• Social networking• Privacy maintenance• Identity management• Creating content• Organising content• Reusing and repurposing• Filtering and selecting• Self presenting• Transliteracy
http://www.mopocket.com/
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“Knowledge that is acquired under compulsion obtains no hold on the mind.”
- SocratesPlato
http://www.fotopedia.com/items/flickr-713124904
Darwikianism Stev
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“All too often we are giving young people cut flowers when we should be teaching them to grow their own plants.”
- John W. Gardner
http://picsnwall.com/wp-content/uploads