The slides I will use as guidance during the OEB14 debate on the topic of 'data corrupts education'.

1. DIGITAL DIVIDE &
REPRODUCING NORM

2. Data divide - trickles down
from the big Universities
all the way to the
vulnerable learners
Data storage and data
mining is expensive,
educational fees for the
data rich universities will
rise
DATA DIVIDE = INCREASED DIGITAL DIVIDE

3. In a world were profit rules, students from demographic
groups that perform less can be seen as a potential loss, not
worth recruiting from.
SELECTING THE LEARNERS
BASED VIA ALGORITHMS

4. by 2030 one third of current jobs will be lost to automation
education should aim job demands, but also reaching a
better quality of life, and enabling a new society
EDUCATION FOR THE PURPOSE
OF FUTURE JOBS, WHICH JOBS?

5. Why are bigger budgets provided to replace the proven
human teaching with automated training that still needs to
come of age?
THE EDUCATIONAL DATA VERSUS
THE EDUCATIONAL ACTIONS

6. MORE OF THE SAME?
wo/man-made algorithms reproduce the norm of those who
constructed the algorithms

7. Change does not come from the masses, it is the single
mind that touches the truth felt within each one of us
I AM NOT MOVED BY THE NORM,
BUT ENCHANTED BY THE ONE
Small data

8. THE NORM WILL DEFEND ITS OWN
EXISTENCE, IN SPITE OF DATA PROOF

9. But life is not made out of efficiency only, life is quality, life
is creativity, life is – at best – living your dream.
EDUCATIONAL DATA IS CURRENTLY
BUILD UPON EFFICIENCY

10. The success of data is only as strong as the lives it can help
improve - and before all - sustain in the long term. We must turn
the digital/data divide around, and aim for a better world

11. Full draft with additional topics here
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