The document discusses the transition to cloud-based learning environments. It notes that from 1980s to present, technologies transitioned from networks to the world wide web to web 2.0 with user-generated content. Currently, cloud computing enables widespread adoption of cloud-based services through application stores and distributed platforms. This allows for personal learning environments on smart interfaces and maximizing external capabilities. Context-based communication practices empower responsive and adaptive interactions in comparison to predictive models. Learning is now connected through interactions, sharing, and connections on demand through the cloud.
4. We are witnessing a transition to the
• 1980s - Network (TCP/IP, from IT to ICT, mobile phones, 1G)
• 1990s - World Wide Web (GSM, hypertext, commercial internet,
search engines, mobile internet, open source)
• 2000s - Web 2.0 (The web as a platform, social media, UGC
(wikipedia, google, youtube), geolocation services, crowdsourcing)
• 2010s - Cloud (cloud computing, cloud-based services, application
stores, augmented reality for mobile phones, deep space internet)
6. CLOUD COMPUTING
CLIENT Google
Android iPhone
Chrome
Salesforce Apple
APPLICATION Google Apps
Force.com App Store
Amazon Web Google
PLATFORM Services App Engine
Amazon
INFRASTRUCTURE Amazon EC2
S3
7. CLOUD COMPUTING
Widespread adoption of cloud computing could give
the top five EU economies a 763€ billion ($1tn) boost
over five years and create 2.4 million jobs.
– Centre for Economics and Business Research (CEBR) report, Dec 2010
8. CLOUD COMPANY
Cloud Computing
Distributed & Technology Communication
8
Transparent Platforms Practices
Tools Culture
Network-Centric Organization
Distributed Worksforce Peer Production Peer Learning
Open Innovation Transparency Crowdsourcing
9. DEALING WITH
UNCERTAINTY
UNCERTAINTY
LEARNING
SITUATIONAL
RITUALS
RESPONSIVE
OBSERVABLE
PROJECT
FLOW
REPETITION
PRE-DEFINED
PREDICTABLE
PROCESS
PREDICTABILITY
10. Triskelion
LEARNING
FROM THE
ENVIRONMENT
Systems
Thinking
Active
Lea
Str rs
Personal Agile Planning Intelligence
ate hi
Learning & Development & Analysis
de
Environ-
y
g
ment
ic t
Communctaoions
Intera i ns
p
Open DIGITALLY
DISTRIBUTED
Innovation Ef od
fic uc Technologies
Pr
ea ve
ien tio Interfaces
on
Cr ti
ti
Practices
e ac
tP n
lu er
ee
Va Int
LEARNING
r
IN & ON ati nt LEARNING FROM
ACTION CUSTOMERS
on s
er e m e
& PARTNERS
O p ag
Crowd-
an
User-
Centric sourcing
M
Design
17. Technology Culture
Digitally distributed
technology platforms.
Maximizing external capabilities
(computing resources, information,
and people) through cloud computing
and social technologies.
Organization
Viewpoint
Personal learning environments
based on smart interfaces.
Individual
Viewpoint
25. Technology Culture
Digitally distributed
technology platforms.
Context-based
Maximal use of external capabilities
communication practices.
(computing resources, information,
and people) through cloud computing
and social technologies.
Organization
Viewpoint
Personal learning environments
based on smart interfaces.
Application stores and cloud-based
content delivery mechanisms
enabling personalization.
Individual
Viewpoint
26. WORK TODAY IS INTERRUPTED
AT LEAST EVERY 15 MINUTES
REORIENTATION TAKES ANOTHER
15 MINUTES
30. INSTANT MESSAGING & STATUS UPDATES
Helps you to focus on the work and manage your own interruptions.
Source: Garrett, R. K., & Danziger, J. N. (2007). IM=Interruption management? Instant messaging and
disruption in the workplace. Journal of Computer-Mediated Communication, 13(1), article 2.
31. POINT-TO-POINT CONTEXT-BASED
COMMUNICATION PRACTICES COMMUNICATION PRACTICES
• Pre-defined & predictable • Self-organizing & adaptive
• E.g. telefax, phone, email • E.g. social software
WHAT SEQUENCE? WHAT CONTEXT?
32. Technology Culture
Digitally distributed Context-based
technology platforms. communication practices.
Maximal use of external capabilities Enabling responsive & context-aware
(computing resources, information, modes of communication and
and people) through cloud computing collaboration (in comparison to
and social technologies. predictive & sequential models).
Organization
Viewpoint
Personal learning environments
based on smart interfaces.
Empowerment through
Application stores and cloud-based interaction.
content delivery mechanisms
enabling personalization.
Individual
Viewpoint
34. New, complicated
NEW WORK
AND
LEARNING
Alone Together
Old, simple
35. Technology Culture
Digitally distributed Context-based
technology platforms. communication practices.
Maximal use of external capabilities Enabling responsive & context-aware
(computing resources, information, modes of communication and
and people) through cloud computing collaboration (in comparison to
and social technologies. predictive & sequential models).
Organization
Viewpoint
Empowerment through
Personal learning environments
interaction.
based on smart interfaces.
Maximizing connections,
Application stores and cloud-based
interactions, and sharing
content delivery mechanisms
(in comparison to
enabling personalization.
“knowledge as power”).
Individual
Viewpoint
36. A Vision: On-Demand Education
Students are the most
underused resource
– the antimatter of innovation
37. “It is clear that technology allows institutions
to blur, if not erase, institutional boundaries
once clear and distinct.”
– Steve Crow
39. Join our private beta at: tar1na
For more, visit: cloudcompany.cc
TEEMU
Thanks to:
Sami Viitamäki / DIEGO
ARINA
Esko Kilpi
Mikko Kaipio / Dicole
Petra Salminen / Dicole
www.tarina.me Pasi Mäenpää / Elisa
teemu@dicole.com