In reality, Facebook is designed to allow its partners to violate its users' privacy, so the fact that Cambridge Analytica got caught with its hand in 80 million of our cookie-jars is an indication of how incompetent they were (they were the easiest to detect, in part because of their public boasting about their wrongdoing), and that means there are much worse scammers who are using Facebook to steal our data in ways that makes CA look like the petty grifters they are.
There is probably little doubt that the analysis of data will play an increasing role in teacher recruitment. I am sure that among the companies involved in the development of such platforms there are many good people with solid beliefs and values, individuals who will want to see these systems used in conjunction with personal connections, interviews, and relationships. In other words, in very humane ways, using the algorithm as a guide, not a decision-maker, and this is where biometric data may prove initially attractive. The question, of course, with all “data-driven” initiatives lies not so much with the intent or even the veracity of the data collected, but with how it is used. Data can too easily become the decision-making tool of lazy convenience and ends up being used in ways never intended. When I consider my teaching colleagues, I recoil at the prospect of viewing them as data points. Someone needs to shout stop.
We should stop treating tests like moral agents that can define the future. I agree with David Rutkowski’s point about agency, perhaps we’d be well-advised to think about what is enabled, and what we don’t have to do, when we cede our agency to tests and ask whether we really breath a sigh of relief that it is our responsibility we can explain away. The desire for a testing regime is a symptom, not a cause, and it seems to me if you better understand those individual and collective desires at work, you may understand why it is that reconciliACTION and social justice remain distractable.
Google is already buttoning up its data policies in anticipation of Europe’s General Data Protection Regulation, or GDPR, which kicks in next month. The company restricted the number of third-party companies that can serve and track ads through its advertising exchange and on YouTube. Google is also requiring publishers to get user consent for targeted ads to comply with GDPR.
Precision education represents a shift from the collection of assessment-type data about educational outcomes, to the generation of data about the intimate interior details of students’ genetic make-up, their psychological characteristics, and their neural functioning.
Have You Heard discusses the rise of the “data boyz,” the quantitative methodologists who increasingly determine what counts–and what doesn’t–in education research. Special guest: UC Berkeley economist Jesse Rothstein.
Some interesting points made about the Mafia pact that silences critique.
If we want a full and comprehensive debate about the role of data in our lives, we need to first appreciate that the analysis and use of our data is not restricted to the types of figures that we have been reading about in these recent stories – it is deeply embedded in the structures in which we live.
Mining tweets? Just provide your search terms, enter a couple commands at the terminal, and voilà, ... instant dashboard!
In simple terms, datafication can be said to refer to ways of seeing, understanding and engaging with the world through digital data. This definition draws attention to how data makes things visible, knowable, and explainable, and thus amenable to some form of action or intervention. However, to be a bit more specific, there are at least ten ways of defining datafication.
- Legally & ethically
This is a good introduction to his book Big Data in Education.