Black Boxes, Student Data & Playing Moneyball for Education – Seattle Education

Black Boxes, Student Data & Playing Moneyball for Education – Seattle Education

1:1 device initiatives, 23andMe genetic testing kit, “evidence-based” approaches, big data & healthcare, big data and the surveillance state, credit reports, Evidence based policy, FERPA, IBM Watson, Money Ball for Government, outcomes-based contracting, Pay for Success, Pay for Success and Big Data, Portland State University, RealNetworks facial recognition, Student-level data, surveillance capitalism

Black Boxes, Student Data & Playing Moneyball for Education


We’re rapidly entering a world of evidence-based decision making in public education. These decisions will be powered by vast amounts of data run through proprietary black boxes that parents will have no way of understanding. The approach is called Moneyball and the goal is to justify ration resources to students –while investors make a tidy profit.

One of the most difficult challenges I’ve had as a parent is convincing other parents that the endless collection of our kids’ data isn’t benign and technology isn’t inherently benevolent.

Big Data, Like Big Brother, Isn’t Your Friend

As adults, we’ve chosen to ignore this cold hard fact: that by using electronic devices, we are allowing ourselves to become a product. Von Shoshana Zuboff calls this evolution in big data mediated economics surveillance capitalism:

It’s now clear that this shift in the use of behavioral data was an historic turning point. Behavioral data that were once discarded or ignored were rediscovered as what I call behavioral surplus. Google’s dramatic success in “matching” ads to pages revealed the transformational value of this behavioral surplus as a means of generating revenue and ultimately turning investment into capital. Behavioral surplus was the game-changing zero-cost asset that could be diverted from service improvement toward a genuine market exchange. Key to this formula, however, is the fact that this new market exchange was not an exchange with users but rather with other companies who understood how to make money from bets on users’ future behavior. In this new context, users were no longer an end-in-themselves.  Instead they became a means to profits in  a new kind of marketplace in which users are neither buyers nor sellers nor products.  Users are the source of free raw material that feeds a new kind of manufacturing process.

As adults we’re vaguely aware that certain choices we make will impact our credit report. The inputs seem arbitrary and frankly ridiculous. Unless, there’s a problem, THEN, the unfairness of the system quickly comes into focus.

How your credit report is determined is an example of a black box. Inputs go in, something happens inside the box, and then your credit report comes out. What happens inside the box? Who knows? It’s a proprietary predictive model.

What sorts of random digital bits could impacts your credit report? Things like what operating system you use, if you do your browsing using a desktop or cellphone, even what you decided to use as your email address.

This excerpt is from New Study Shows You Can Predict Credit Rating from Your Online Tech Fingerprint.

One thought on “Black Boxes, Student Data & Playing Moneyball for Education

  1. Laura H. Chapman says:

    FERPA LOOPHOLE LOVED BY MARKETERS OF “personalized” instructional apps. “Records may be disclosed without prior written consent under certain other circumstances, including the following:
    Disclosures to other school officials, including teachers, within the district whom the school or district has determined to have legitimate educational interests
    Disclosures, subject to certain restrictions, to officials of another school, school system, or institution of postsecondary education where the student seeks or intends to enroll, or where the student is already enrolled as long as the disclosure is for purposes related to the student’s enrollment or transfer
    Disclosures to organizations conducting studies for, or on behalf of, schools or districts to:
    Develop, validate, or administer predictive tests
    Administer student aid programs
    Improve instruction
    Disclosures in connection with a health or safety emergency
    Disclosures of appropriate information regarding specified disciplinary actions to teachers and school officials, including those in other schools, who have legitimate educational interests in the behavior of the student” Source California Dept of Education.
    Bill Gates has funded academic papers and indirect lobbying efforts to make FERPA weaker.. Academic researchers and marketers if EdTech want USDE to make exceptions for so-called personalized instruction. Parents are being asked to sign off on privacy rights with promises that the data will be of benefit to their children. See EdWeek on “precision education” with genetic testing in hope of early diagnosis of dyslexia and remediation BEFORE preschool.


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