Affective Data Mining in NGSS Shows Need for Data Protection

The Pulse 2016 published Dr. Effrem’s latest post on the dangers of student data privacy in response to US News & World Report’s frightening op-ed lauding invasive affective data mining that psychologically profiles our children in the name of promoting the absolutely awful Next Generation Science Standards.  Here is an excerpt:

Gobert, whose company develops the software she lauds (no conflict of interest there), attempts to justify both the invasive data-mining and the NGSS, which have received poor reviews from many, varied organizations. She raises the favorite bogeyman of the establishment — American students’ 21st place in international rankings of science performance, supposedly endangering US global competitiveness. Yet, she ignores contrary data and research showing no correlation between these rankings and national economic performance.
More alarming is this paragraph, containing the kind of language that sends parents running for the exits of public schools and possibly towards attorneys:

Educational data mining offers more than the traditional statistics used on typical, multiple-choice tests. These high-fidelity data are in the form of log files from mouse clicks within the digital learning environment. They also measure and monitor things like students’ saccadic eye patterns as students learn from visual and textual information sources, data from sensors tracking facial expressions and posture, and more. These data are all fine-grained, reflecting students’ learning processes, knowledge, affective states . . . . [emphasis added].

Such devices were illustrated and described in a 2013 report called  by the US Department of Education’s Office of Technology (USOT) (since removed from the website due to parental backlash):

This is yet another reason to urge your members of Congress to oppose SETRA and to put affective data mining protections in any reauthorizations of FERPA or PPRA.