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TEL strategies for transient technologies
Colin Loughlin
University of Surrey
Department of Technology Enhanced Learning
Abstract
‘In turbulent times success, and sometimes survival, depend upon the ability to distinguish between what is
changing and what is staying the same‘ (Goodyear & Retalis, 2010, p.1).
Moore’s Law (1965) states that computer processing power will double every year, the pace of change in gene
sequencing has followed a similar path: ‘It took us 15 years to sequence HIV […] now we can sequence Sars in
31 days’ (Kurzweil in Sutherland, 2005). However what appears to be a stable linear development is actually
exponential and, while few suggest that the speed of change will increase indefinitely, we are in a period of
unprecedented technological transformation. ‘The Velocity of Innovation has increased dramatically [and] is itself
a key variable in the velocity of obsolescence’ (Jensen, 2014). Development and product lifecycles have reduced
significantly in recent years. For instance vinyl records remained the primary medium for listening to music for
over fifty years, CDs were dominant for just twenty years and digital downloads of music - sales of which only
recently overtook CDs, are already in decline. The development-to-obsolescence lifespan of technological
innovation is shortening, as is the speed of adoption. CDs took ten years to establish themselves, iTunes just two.
The adoption of new technologies is becoming viral in nature; difficult to predict and impossible to control.
Kurzweil (2005) forecast that we would be in the ‘knee of the exponential curve’ in 2014 and, thus at the point of
‘explosive growth’ (ibid) in technological innovation. Ironically, despite housing departments which are the
seedbeds of research and development, Higher Education Institutions (HEIs) are ill-equipped to deal with rapid
change. Institutional infrastructures and procedures lack agility and may struggle to respond to technologies which
come and go in less than five years.
In this presentation we will explore some of the challenges facing HEIs and offer alternative visions. Hiding behind
the ‘walled garden’ will not protect universities from a tidal-wave of technological change. Whilst it may not be
possible to predict exactly which software or hardware we will be using in five years time, there are underlying
trends such as geo-location, big data, voice-recognition and wearable technology which are likely to form part of
that future; additionally, emerging phenomena such as citizen science could transform entire disciplines. The
challenge therefore is to avoid the mire of redundancy while facilitating an ‘edgeless university’, allowing future
innovation to permeate and flourish.
The tea-towel plays music…
Play music though the tea-towel and win a prize!
What are transient technologies?
All technologies are transient; eventually we find a
better/cheaper/easier way of doing things:
• Letterpress gave way to lithography
• Steam trains gave way to electric
• Valve to transistor radios
So what’s new?
The speed at which these changes are taking place.
Time to mass adoption…
http://www.singularity.com/charts/
Transition periods
Vinyl dominated the music industry for 60
years, the transition to CDs took 10 years.
CDs reigned for only 20 years and the
transition to iTunes took just 2 years…
… less than two years after that, iTunes is in
decline, with music streaming taking over.
Singularity – Ray Kurzweil
http://www.singularity.com/charts/page50.html
Kurzweil says by the year 2045: progress will be so rapid it outstrips
humans' ability to comprehend it.
Speed of technological development in computing
http://www.singularity.com/charts/
Solar Panels
2012 :
3D PV-cel
with 30%
more energy
efficiency
http://www.singularity.com/charts/
Source: Cisco systems
The number of devices
connected to IP networks
will be more than three
times the global
population by 2019
How does this affect HE
Two areas of potential impact:
• New things or applications, or things used in new ways that come from left
field.
• Stuff that’s been around a while that suddenly becomes ubiquitous.
The nature of exponential development means that technology can be around a
long time before it becomes an overnight success.
Things change when it becomes:
Cheap, Reliable, Easy
The Future?
Institutional attitudes
The four stages of acceptance
Ignorance
Irrelevance
Important (but not for us)
I always told you so
All truth passes through three stages. First, it is ridiculed. Second, it is
violently opposed. Third, it is accepted as being self-evident.
—
Arthur Schopenhauer, German philosopher (1788 – 1860)
What all this leads to is resistence…
‘Resistance seem[s] to be an inevitable outcome of even the smallest
and least controversial of innovations […] It permeate[s] all aspects of
the implementation’ (Bryant, 2014).
‘If you’re not going to support the technology, then don’t put it in the classroom. It’s
worse than not having it.’
Bill Lewis, Arizona State University (JISC - https://www.jisc.ac.uk/guides/learning-spaces/evaluating-use-of-technology)
Agile development
Assumption that ‘problems are fully specifiable, and that
an optimal and predictable solution exists for every
problem’
Agile development is ‘characterized by social inquiry in
which extensive collaboration and communication
provide the basis for collective action. Diverse
stakeholders […] go through repeated cycles of thought-
action-reflection that foster an environment of learning
and adaptation. Team members, empowered with more
discretionary and decision-making powers, are not
confined to a specialized role. This increases the
diversity/variety of the teams and enables them to self-
organize and respond with alacrity to emergent
situations.’
‘Agile methodologies require a shift from command-and
control management to leadership-and-collaboration.
The organizational form that facilitates this shift needs
the right blend of autonomy and cooperation to achieve
the advantages of synergy while providing flexibility and
responsiveness’
Agile development
‘aspects of universities […] are typically expected to persist for years,
decades, even centuries. This very persistence can be one reason why
university structures have been set up to be rather slow, un-agile and
rather risk averse.’
Uniformity vrs individuality
‘A substantial part of an agile team-leader’s role is identifying and
removing barriers to a team being able to do its job.’
Continuity vrs agility
‘A software project is delivered and done. Yes it may be revised, but this is
treated as a new project.’
Strategy for transient technologies
Institutional strategy
Agile based approach
tech projects have rolling iterations
open/porous networks
allow for flexibility
Department strategy
provide ‘just in time’ training
encourage and support use of non-core technologies
allow autonomy
Examples
Remove admin only access to intuitional machines
Enable full functionality of existing software (wordpress)
End one size fits all, PC image (always out of date and clunky)
Thank You!
c.loughlin@surrey.ac.uk
References
Goodyear, P. & Retalis, S. (2010) Technology-enhanced learning: design patterns and pattern
languages. Rotterdam; Boston, Sense Publishers.
Jensen (2014) Positive Rate of Climb - A Blog by Troy Jensen. [Online]. Available from:
http://positiverateofclimb.blogspot.co.uk/ [Accessed: 12 March 2015].
Kurzweil, R. (2005) The singularity is near: when humans transcend biology. New York, Viking.
Sutherland, J. (2005) The ideas interview: Ray Kurzweil. [Online]. 2005. the Guardian. Available
from: http://www.theguardian.com/science/2005/nov/21/academicexperts.elearning [Accessed: 12
March 2015].

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Alt c 2015 slideshare

  • 1. TEL strategies for transient technologies Colin Loughlin University of Surrey Department of Technology Enhanced Learning
  • 2. Abstract ‘In turbulent times success, and sometimes survival, depend upon the ability to distinguish between what is changing and what is staying the same‘ (Goodyear & Retalis, 2010, p.1). Moore’s Law (1965) states that computer processing power will double every year, the pace of change in gene sequencing has followed a similar path: ‘It took us 15 years to sequence HIV […] now we can sequence Sars in 31 days’ (Kurzweil in Sutherland, 2005). However what appears to be a stable linear development is actually exponential and, while few suggest that the speed of change will increase indefinitely, we are in a period of unprecedented technological transformation. ‘The Velocity of Innovation has increased dramatically [and] is itself a key variable in the velocity of obsolescence’ (Jensen, 2014). Development and product lifecycles have reduced significantly in recent years. For instance vinyl records remained the primary medium for listening to music for over fifty years, CDs were dominant for just twenty years and digital downloads of music - sales of which only recently overtook CDs, are already in decline. The development-to-obsolescence lifespan of technological innovation is shortening, as is the speed of adoption. CDs took ten years to establish themselves, iTunes just two. The adoption of new technologies is becoming viral in nature; difficult to predict and impossible to control. Kurzweil (2005) forecast that we would be in the ‘knee of the exponential curve’ in 2014 and, thus at the point of ‘explosive growth’ (ibid) in technological innovation. Ironically, despite housing departments which are the seedbeds of research and development, Higher Education Institutions (HEIs) are ill-equipped to deal with rapid change. Institutional infrastructures and procedures lack agility and may struggle to respond to technologies which come and go in less than five years. In this presentation we will explore some of the challenges facing HEIs and offer alternative visions. Hiding behind the ‘walled garden’ will not protect universities from a tidal-wave of technological change. Whilst it may not be possible to predict exactly which software or hardware we will be using in five years time, there are underlying trends such as geo-location, big data, voice-recognition and wearable technology which are likely to form part of that future; additionally, emerging phenomena such as citizen science could transform entire disciplines. The challenge therefore is to avoid the mire of redundancy while facilitating an ‘edgeless university’, allowing future innovation to permeate and flourish.
  • 3. The tea-towel plays music… Play music though the tea-towel and win a prize!
  • 4. What are transient technologies? All technologies are transient; eventually we find a better/cheaper/easier way of doing things: • Letterpress gave way to lithography • Steam trains gave way to electric • Valve to transistor radios So what’s new? The speed at which these changes are taking place.
  • 5. Time to mass adoption… http://www.singularity.com/charts/
  • 6. Transition periods Vinyl dominated the music industry for 60 years, the transition to CDs took 10 years. CDs reigned for only 20 years and the transition to iTunes took just 2 years… … less than two years after that, iTunes is in decline, with music streaming taking over.
  • 7. Singularity – Ray Kurzweil http://www.singularity.com/charts/page50.html Kurzweil says by the year 2045: progress will be so rapid it outstrips humans' ability to comprehend it.
  • 8. Speed of technological development in computing http://www.singularity.com/charts/
  • 9. Solar Panels 2012 : 3D PV-cel with 30% more energy efficiency http://www.singularity.com/charts/
  • 10. Source: Cisco systems The number of devices connected to IP networks will be more than three times the global population by 2019
  • 11. How does this affect HE Two areas of potential impact: • New things or applications, or things used in new ways that come from left field. • Stuff that’s been around a while that suddenly becomes ubiquitous. The nature of exponential development means that technology can be around a long time before it becomes an overnight success. Things change when it becomes: Cheap, Reliable, Easy
  • 13. Institutional attitudes The four stages of acceptance Ignorance Irrelevance Important (but not for us) I always told you so All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self-evident. — Arthur Schopenhauer, German philosopher (1788 – 1860)
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  • 15. What all this leads to is resistence… ‘Resistance seem[s] to be an inevitable outcome of even the smallest and least controversial of innovations […] It permeate[s] all aspects of the implementation’ (Bryant, 2014). ‘If you’re not going to support the technology, then don’t put it in the classroom. It’s worse than not having it.’ Bill Lewis, Arizona State University (JISC - https://www.jisc.ac.uk/guides/learning-spaces/evaluating-use-of-technology)
  • 16. Agile development Assumption that ‘problems are fully specifiable, and that an optimal and predictable solution exists for every problem’ Agile development is ‘characterized by social inquiry in which extensive collaboration and communication provide the basis for collective action. Diverse stakeholders […] go through repeated cycles of thought- action-reflection that foster an environment of learning and adaptation. Team members, empowered with more discretionary and decision-making powers, are not confined to a specialized role. This increases the diversity/variety of the teams and enables them to self- organize and respond with alacrity to emergent situations.’ ‘Agile methodologies require a shift from command-and control management to leadership-and-collaboration. The organizational form that facilitates this shift needs the right blend of autonomy and cooperation to achieve the advantages of synergy while providing flexibility and responsiveness’
  • 17. Agile development ‘aspects of universities […] are typically expected to persist for years, decades, even centuries. This very persistence can be one reason why university structures have been set up to be rather slow, un-agile and rather risk averse.’ Uniformity vrs individuality ‘A substantial part of an agile team-leader’s role is identifying and removing barriers to a team being able to do its job.’ Continuity vrs agility ‘A software project is delivered and done. Yes it may be revised, but this is treated as a new project.’
  • 18. Strategy for transient technologies Institutional strategy Agile based approach tech projects have rolling iterations open/porous networks allow for flexibility Department strategy provide ‘just in time’ training encourage and support use of non-core technologies allow autonomy Examples Remove admin only access to intuitional machines Enable full functionality of existing software (wordpress) End one size fits all, PC image (always out of date and clunky)
  • 20. References Goodyear, P. & Retalis, S. (2010) Technology-enhanced learning: design patterns and pattern languages. Rotterdam; Boston, Sense Publishers. Jensen (2014) Positive Rate of Climb - A Blog by Troy Jensen. [Online]. Available from: http://positiverateofclimb.blogspot.co.uk/ [Accessed: 12 March 2015]. Kurzweil, R. (2005) The singularity is near: when humans transcend biology. New York, Viking. Sutherland, J. (2005) The ideas interview: Ray Kurzweil. [Online]. 2005. the Guardian. Available from: http://www.theguardian.com/science/2005/nov/21/academicexperts.elearning [Accessed: 12 March 2015].

Editor's Notes

  1. Letterpress 400+ years and the transition to lithography took 150 years Steam trains lasted 150+ years and the transition to electric took around 30 years Valve radios 60+ years and the transition to transistor radios took around 20 years. Web-enabled services saw a 3-5 year time-to-obsolescence 15 years ago compared to perhaps 14-18 months today. Time-to-obsolescence for a mobile-first web services innovation today is probably only 12 months. Time-to-obsolescence seems to be occurring faster as time itself progresses. This is the Velocity of Obsolescence and it has been accelerating.
  2. Kurzweil describes his law of accelerating returns which predicts an exponential increase in technologies like computers, genetics, nanotechnology, robotics and artificial intelligence.