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Ethical Issues & Challenges in Learning Analytics Invited presentation Katina Michael, M.G. Michael University of Wollongong www.Uberveillance.com [email protected] NSW Learning Analytics Working Group Wollongong 28 August 2013

Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

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Page 1: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Ethical Issues & Challenges in Learning Analytics

Invited presentationKatina Michael, M.G. Michael

University of Wollongongwww.Uberveillance.com

[email protected]

NSW Learning Analytics Working Group Wollongong28 August 2013

Page 2: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Defining Uberveillance• uberveillance (say

'oohbuhvayluhns) noun. an omnipresent electronic surveillance facilitated by technology that makes it possible to embed surveillance devices in the human body. Also, überveillance

• Uberveillance in ed. S. Butler, Fifth Edition of the Macquarie Dictionary (Australia's National Dictionary, Sydney University), p. 1094

Term conceived by Dr. MG Michael

Page 3: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Mass Surveillance vs Uberveillance

• Who? Where? When? What?

• If I know:– who you are– where you are– what condition you are in

then I can denote what you are doing• “Human activity monitoring” of all people has

consequences for human rights

ConditionLocationIdentity

Page 4: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

McNamee, Michael & Michael, 2005Human Activity Monitoring/ Ethics

Page 5: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Abbas, Michael & Michael, 2009SuperTrackstick, TrackStickPro, iPhone

Page 6: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group
Page 7: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Unique in the Crowd: The privacy bounds of human mobility

http://www.nature.com/srep/2013/130325/srep01376/full/srep01376.html

Over a 15 month period and 1.5 million records.

Page 8: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Proactive Criminalisation

• The underlying premise:– If I can use “big data” to – (a) bring islands of information together– (b) analyse both structured and unstructured data

in real-time or near-real time– then there is a good chance that certain patterns

and trends will be revealed that may help me to foil a plot to commit a crime, or even prevent a crime.

Page 9: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group
Page 10: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

“At risk”

• “An at-risk student is a student who, by virtue of their circumstances, is statistically more likely than others to fail academically.

• Those determining the criteria of at-risk status often focus on:– ethnic minorities– those who are academically disadvantaged– those who are disabled– those who are characterized by low socioeconomic status– students on a probationary status over past behavioral

issues.”

https://en.wikipedia.org/wiki/At-risk_students

Page 11: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Risks abound everywhere around us…

• Are we circumventing the transmission of an important life quality when we attempt to intervene in the context of an adult student?

• Sometimes it will work when we intervene… but sometimes it will make matters worse.

• Risks related to “at risk” intervention:– Trial and error– Learning from mistakes– Spontaneity– Potentiality– Improvisation

• Do we lose “control”?• Is our “free will”

obstructed?

Page 12: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Pre-emption vs Prediction

• Are we circumventing nature taking its course?

• Zero tolerance on errors• What to say a student

failing every assessment can’t kick back on their own accord in the final exam?

Page 13: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Interventionism

• Gives impression of infallibility– “All seeing eye” is right– Can see all things, hear all things, is omniscient

• “Ex-cathedra” [from the throne/chair]• It’s a paradox– Modern day attempt to remove God from view– 4Who … exalteth himself above all that is called

God … so that he as God sitteth in the temple of God, shewing himself that he is God (2 Thess 2:4)

Page 14: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Feeding the Machine

• What you put into the machine you will get out of it– GIGO (garbage in/ garbage out)

• In the end it is still all subjective– Does not replace the act of getting to know

students or in place of manual ‘monitoring’• The machine is prone to:– Stereotyping– Stigmatising

Page 15: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

"I feel technology has changed so much where people are emailing and don't talk face-to-face anymore,

people are losing social skills...and their compassion.”

http://www.ibtimes.co.uk/gopro-project-claims-technology-making-people-lose-empathy-homeless-1445134

Page 16: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

The FitBit Fallacy

• Benchmarking?• What is the optimal?• What is that magic number?• How does one interpret results?• Fundamental flaw– Technological device measurements might show

usage but won’t show intelligence/knowledge• Are we trying to enter a private space in the

mind?

Page 17: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

“…NOTHING WAS YOUR OWN EXCEPT FOR THE FEW CUBIC CENTIMETERS INSIDE YOUR SKULL.”

1984, George Orwell, (1949)

Page 18: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Google wants to be the third half of your brain…

Page 19: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Uberveillance“Big Brother on the inside looking out”

Page 20: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

“[Ariel Garten’s] company InteraXon… has produced Muse, a lightweight headband that uses electroencephalography (EEG)

sensors to monitor your brain activity, transmitting that information to a smartphone, laptop or tablet. The high-tech

headband has been used to pour beer, levitate chairs, or control the lights -- all without the wearer lifting a finger.“

Page 21: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

Unintended Consequences

• Might learning analytics have the opposite effect?– Instead of helping might it marginalise?

• Is it an elitist mentality• Person of interest – analytics alerts• Are we really “interpreting” the student?• False sense of security about who will perform

and who will not- we relax as educators or overstress with too many red flags

Page 22: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

“The In Your Shoes Test”

• What if the tables were turned?• How might we respond to such monitoring as

faculty staff and administration?• What if we became the analysed?• And then students judged us and

performance?• I’ve personally witnessed educators leave the

profession due to poor online results

Page 23: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group
Page 24: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

“My Uni told me I’m at risk- I feel so depressed I should just give up!”

• ?• ?• ?• ?• ?• ?• ?

Page 25: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group
Page 26: Ethical issues & challenges in learning analytics Katina Michael_NSW Learning Analytics Group

www.uberveillance.com