Learning Futures: Emerging technologies, pedagogies, and contexts

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

Image: http://www.astrobio.net

“Any sufficiently advanced

technology is indistinguishable

from magic”.

- Arthur C. Clarke

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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)

Photo by Steve Wheeler

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.digitaltrends.com

“It is impossible to predict the future with great accuracy” – Michio Kaku

Where have we come

from?


Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.sabotagetimes.com/life/a-vision-of-the-future-from-1910/

Work 2000

Villemard


Leisure 2000

Villemard


Conflict 2000

Villemard

http://www.cbsnews.com/2300-501465_162-10013397-8.html

Policing 2000

Villemard


Communication 2000

Villemard


Learning 2000

Villemard

Disruptive Technology

“The future is already here — it's just not very evenly distributed” – William Gibson

http://intergalacticrobot.blogspot.co.uk/2012/06/helen-oloy.html

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Where are we

right now?Photo by Steve Wheeler

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Ubiquitous Connectivity

cc S

teve

Whe

eler

, Uni

vers

ity o

f Ply

mou

th, 2

010

http://i.imwx.com

http://scoop.intel.com/what-happens-in-an-internet-minute/

Source: InternetWorldStats.com / www.Pingdom.com / www.newmediatrendwatch.com

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

245,203,319 internet users in the US

(representing 78.1%) - March 2013

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3>170 Million(55 million posts per day)

Learning

User generated

content Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Learning by doing

Learning 2.0

ToolsCollaborating

Sharing

Voting

Networking

User generated

content

Architecture of participation

Tagging

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.slashgear.com/babys-first-ipad-24121114/

“The average digital birth of children

happens at about six months.”

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.slashgear.com/babys-first-ipad-24121114/

“The average digital birth of children

happens at about six months.”

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Courtesy of Steve Anderson

http://www.slideshare.net/courosa/why-social-networks-matter




Learningis changing


“If you think of the Web mainly as a place to ‘look up things’, you are

missing the point”. – Alec Couros (2012)

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Where are we headed

next?


Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

The NMC Horizon Project charts the

landscape of emerging

technologies for teaching, learning, research, creative

inquiry, and information

management

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

The First Mobile Phone

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.xianet.net/wp-content/uploads/2011/02/first-mobile-phone.jpg

The ‘Brick’

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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.

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Multimedia brought the world into the classroom...

Smart cell phones will take the classroom into the world.

www.canada.com

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.geeky-gadgets.com

Tangible computing

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Web 1.0: Anything can link to anything

Source: Sabin-Corneliu Buraga www.localseoguide.com

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

www.ballroom-dance-chicago.blogspot.com/

Web 2.0: User

participation

Source: Sabin-Corneliu Buraga

Web 3.0: Existing data re-connected

for other (smarter) uses

http://farm4.static.flickr.comSource: Sabin-Corneliu Buraga

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

We are already seeing early evidence of the Smart eXtended Web

http://chemistscorner.com

Intelligent Filtering Recommender Systems

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Learning 3.0

Distributed (Cloud) computingExtended smart mobile technologyCollaborative intelligent filtering3D visualisation and interaction

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Future Learning Topology

Distributed (Cloud) Computing

3D Visualisation and Interaction

Smart Mobile Technology

CollaborativeIntelligent

Filtering

Infrastructure

Interface

Tool

Interaction Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://steve-wheeler.blogspot.com/2012/11/next-generation-learning.html

Touch or No Touch?

http://www.flickr.com/photos/kmakice/5193637407/

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://abdtechnology.com/tag/google-glass/

Wearable Technology

Enhanced Vision

Increased connection

Personal Devices

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://blog.ctnews.com

MIT’s Sixth Sense

Wearable AR

Mixed Reality

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Voice & Movement

Sensor

http://www.beehivecity.com

Voice and natural gesture interface

http://petitinvention.files.wordpress.com/2009/03/snowcorn5.jpg

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Augmented

Reality

http://www.thecuttingedgenews.com

Multi Gesture Objects

The Touche Video Demonstration

http://www.youtube.com/watch?v=E4tYpXVTjxA


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

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

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.

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.fotopedia.com/items/flickr-5958585066

Mobile Learning

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

“We are becoming distributed beings. Mobile makes the trend more explicit.” - Mark Curtis (2005)

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

What does this all mean

for us?


Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

“The empires of the future

will be empires of the mind.”

– Sir Winston Churchill

http://en.wikipedia.org/

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Flip the roles, not just the classroom

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.infed.org/biblio/b-learn.htm

We learn by teaching


GlobalSocial

Personal Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Personalised learning means ensuring that individual differences are

acknowledged

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.homodiscens.com

Howard Gardner

Multiple Intelligences

http://www.excelsiorlearningcenter.com

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

We are familyhttp://pro.corbis.com

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Wii are family!

http://wiifitnessdepot.com

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Personal Learning Environment

Source: http://steve-wheeler.blogspot.com/2010/07/anatomy-of-ple.html

Steve Wheeler & Manish Malik (2010)

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Personal Learning NetworksPhoto by Steve Wheeler

http://bradley.chattablogs.com

“ ‘I store my knowledge in my friends’ …is an axiom for collecting knowledge… through collecting people”.

- Karen Stephenson

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Distributed Learning

Games Based

LearningGamification

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3


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)

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

What do we need to

consider?


Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://farm1.static.flickr.com/117/291379959_594fa8ef70.jpg

BYOD

VLE

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Learners taking notesPhoto: Lori Cullen

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Digital Natives?

The Net

Generation?

http://www.flickr.com/photos/56155476@N08/5667863948/

Homo

Zappiens?

Millennials?

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://truedantalion.blogspot.co.uk/2011/09/silver-surfers.html

Digital Residents or Visitors?

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

‘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...

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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’

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

http://www.flickr.com/photos/will-lion/3601144842/sizes/l/in/photostream/

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

“Lee Harvey and the Wailers”(Lee Harvey did not jam alone)

http://www.myspace.com/hsu/photos/6850630

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

“60% of all Internet pages contain

misleading information.”

- Thomas Edison

Learners need ‘digital literacies’

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

Not only skills... ...Literacies


Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

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/

Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

“Knowledge that is acquired under compulsion obtains no hold on the mind.”

- SocratesPlato

http://www.fotopedia.com/items/flickr-713124904

Darwikianism Stev

e W

heel

er, U

nive

rsity

of P

lym

outh

, 201

3

“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