2. How do we dream in a world that is increasingly
(dis)connected and fragile, where increasing numbers
of individuals live precarious lives, where the roll of
the dice shape lives and determine futures?
ImagebyJuiMagicmanfromPixabay
3. How do we talk
about digital
technology and
educational change
when we allow this
to happen?
What kind of
education and
technologies made
this possible?
4. Acknowledgement
I do not own the copyright of any of the images in this
presentation. I therefore acknowledge the original copyright
and licensing regime of every image used.
This presentation (excluding the images) is licensed
under a Creative Commons Attribution 4.0 International
License.
5. This is a story about stories…
The stories that are being told about digital technology
and educational change, the persons, interests behind
these stories, the stories that are left out, the stories
that are censured, the stories that need to be told.
This is a story about stories
This is a story about stories…
6. This is a story about stories…
The stories that are being told about digital technology
and educational change, the persons, interests behind
these stories, the stories that are left out, the stories
that are censured, the stories that need to be told.
This is a story about stories
• What stories are being told about
digital technology and education?
• What stories are being told about
educational change?
• Who are telling these stories?
7. This is a story about stories…
The stories that are being told about digital technology
and educational change, the persons, interests behind
these stories, the stories that are left out, the stories
that are censured, the stories that need to be told.
This is a story about stories
• Whose stories are not told?
• What stories are not told and why not?
• What stories need to be told?
12. What/whose stories are being told about digital
technology and education change?
• About being an
educator/researcher/human
• By/in your department/discipline
• Your institution
• Your country
• Society
What/whose stories have become normalised, are
held up as normal? What/whose stories are
considered not-normal, not being told, not endorsed,
or re-told?
13. In the context of digital technologies
and educational change…
…who is framing our educational narratives? Who
and what are driving the educational change
agenda? Who is designing our learning
management systems and what is their
understanding of learning, our students, our
contexts? What interests do they have? What
types of learning result from these technologies,
and what types of learning are excluded?
17. Imagecredit:https://pixabay.com/en/binary-code-man-display-dummy-face-1327512/
“An avalanche of nonsense. … This is not our language –
because it is not written for us. This is written for the
kind of people who are impressed by such language”
Kernohan, D. (2013, March 11). We’re under fifteen feet of pure white snow. [Web log post]. Retrieved from
http://followersoftheapocalyp.se/were-under-fifteen-feet-of-pure-white-snow/
Source credit: http://www.ippr.org/files/images/media/files/publication/2013/03/avalanche-is-coming_Mar2013_10432.pdf?noredirect=1
18. Imagecredit:https://pixabay.com/en/binary-code-man-display-dummy-face-1327512/
Weasel words … and higher education
Image credit: https://www.amazon.com/Watsons-Dictionary-Contemporary-Cliches-Management/dp/1740513215
“Weasel words are words that have been
sucked dry of meaning, they are mere
‘shells’ of words: words from which life
has gone, facsimiles, frauds, corpses.
Weasel words are the words of the
powerful, the treacherous and the
unfaithful, spies, assassins and thieves.
Bureaucrats and ideologues love them.
Tyrants cannot do without them”
(Watson, 2004, pp. 1-2)
20. Dila, M.A. (2016, March 6). Pardon our disruption, Mr Christensen. [Web log post]. Retrieved from https://medium.com/the-
overlap/pardon-our-disruption-mr-christensen-be57d9f1433c#.1ogfsyue4
Moazed. A. (2016, February 16). Why Clayton Christensen is wrong about Uber and disruptive innovation. TechCrunch. Retrieved
from https://techcrunch.com/2016/02/27/why-clayton-christensen-is-wrong-about-uber-and-disruptive-innovation/
21. The story about disruption and technology that is
not told
“The problem with the cult of technology is not that
it exaggerates the power that comes with the
practical application of scientific knowledge. It is
that it if forgets the unregenerate human beings
that use it” (p. 120)
Gray, J. (2004). Heresies. Against progress and other illusions. London:
Granta Books
22. “Knowledge [and technology] is not an unmixed
good; it can be as much a curse as a blessing” (p. 70)
“Human beings use the power of scientific
knowledge to assert and defend the values and goals
they already have. New technologies can be used to
alleviate suffering and enhance freedom. They can,
and will, also be used to wage war and strengthen
tyranny” (p. 106)
Gray, J. (2004). Heresies. Against progress and other illusions. London: Granta
Books
24. Image by Pavlofox from Pixabay
Story 2: Increasing our effectiveness/
efficiency – making us faster, more agile
25.
26. While efficiencies/effectiveness/impact in
education are important, and digital
technologies may assist in these…
we should also ask if the use of any particular
technology in a particular context is appropriate,
ethical and how does the use of digital
technology serve social justice?
37. “As sensors become ubiquitous and more data is collected and
analyzed, elected officials will gain a radically granular
understanding of the city’s needs. They’ll be able to collaborate
with engaged citizens in designing social and physical
interventions that better meet everyone’s needs. Moreover,
administrators and technologists can design responsive systems
that automatically adjust to the specific needs of citizens
without constant oversight, cutting both costs and human error.
As the city’s needs change over the hours, years, and
generations, the city will begin to respond like an intelligent
organism.” Retrieved from https://www.iotforall.com/what-is-smart-city/
38. “As sensors become ubiquitous and more data is collected and
analyzed, elected officials will gain a radically granular
understanding of the city’s needs. They’ll be able to collaborate
with engaged citizens in designing social and physical
interventions that better meet everyone’s needs. Moreover,
administrators and technologists can design responsive systems
that automatically adjust to the specific needs of citizens
without constant oversight, cutting both costs and human error.
As the city’s needs change over the hours, years, and
generations, the city will begin to respond like an intelligent
organism.” Retrieved from https://www.iotforall.com/what-is-smart-city/
43. The Smart Campus actively learns from and adapts to the needs of its people and
place, unlocking the potential of e technology and enabling world-changing
learning and research.
Retrieved from https://futurecities.catapult.org.uk/project/smart-campus-university-of-glasgow/
49. Using data captured via research-based psychometrics,
combined with individual SIS information, the BrightBytes
Whole Child module analyses areas including SEL,
engagement, safety, and environment, and provides
educators with deep insight into the mindset and social
and emotional state across individuals, demographic
cohorts, and the district itself.
Retrieved from https://www.brightbytes.net/resources-archive/wholechild?fbclid=IwAR3NH8-
bpwg1OFMd3paL1_qgjKe51yrRam8SVK-zseaV2XmWPbI5J0tFx9o
54. Hartong, S., & Förschler, A. (2019). Opening the black box of data-based school
monitoring: Data infrastructures, flows and practices in state education
agencies. Big Data & Society, 6(1), 2053951719853311.
55. Knox, J., Williamson, B., & Bayne, S. (2019). Machine behaviourism: future visions of ‘learnification’ and
‘datafication’ across humans and digital technologies. Learning, Media and Technology, 1-15.
Through the growing influence of ‘data science’ on education, behaviourist
psychology is increasingly and powerfully invested in future educational
practices. Finally, it is argued that future education may tend toward very
specific forms of behavioural governance – a ‘machine behaviourism’ –
entailing combinations of radical behaviourist theories and machine
learning systems, that appear to work against notions of student autonomy
and participation, seeking to intervene in educational conduct and shaping
learner behaviour towards predefined aims.
62. Central to the purpose
of the data gaze, is to
incorporate,
appropriate and to
occupy practices and
organisational
structures, and
described by (Beer,
2019) as “data
frontiers”
(Beer, 2019, p. 19).The notion of the “data frontier” (Beer, 2019)
63. “Oiling” (Beer 2019, p. 21) this expansion and
data-as-frontier is creating (and selling) a
particular data imaginary in which data analytics
are presented as “speedy, accessible, revealing,
panoramic, prophetic and smart”
(p. 22; emphasis in the original).
64. Thatcher, J., O’Sullivan, D., & Mahmoudi, D. (2016). Data colonialism through accumulation by dispossession:
New metaphors for daily data. Environment and Planning D: Society and Space, 34(6), 990-1006.
65. Imagecredit:https://pixabay.com/en/binary-code-man-display-dummy-face-1327512/
How colonialism…
• Objectified humans as mere data
points and information in the
global, colonial imaginary
• Stole the dignity and lives of
millions based on arbitrary criteria
and beliefs about meritocracy
supported by asymmetries of
power
• Extracted value in exchange for
bare survival
Imagecredit:https://www.flickr.com/photos/jumborois/6932819813
• Controlled the movement of millions based on arbitrary
criteria such as race, cultural grouping and risk of subversion?
68. All stories end.
Actually, they never end.
The stories we hear, tell, and repeat become
normalised as policies, curricula and hierarchies
of power, benefits and (in)justice
What is/will be your story?
69. THANK YOU
Paul Prinsloo (Prof)
Research Professor in Open Distance Learning (ODL)
College of Economic and Management Sciences,
Samuel Pauw Building, Office 5-21, P.O. Box 392
Unisa, 0003, Republic of South Africa
T: +27 (0) 12 433 4719 (office)
prinsp@unisa.ac.za
Skype: paul.prinsloo59
Personal blog:
http://opendistanceteachingandlearning.wordpress.com
Twitter profile: @14prinsp
Editor's Notes
Talking about algorithms, Artifical Intelligence and machine learning immediately raises a number of serious issues, and one of the most dominant issues in the popular press is the question whether robots will replace teachers…Except for the fact that this is a crude representation of the potential of Artificial Intelligence, it does allow for some light relief...