Ed-Tech and Surveillance


> Who are the “undesirables” of ed-tech software and education institutions? Those students who are identified as “cheats,” perhaps. When we turn the cameras on, for example with proctoring software, those students whose faces and gestures are viewed – visually, biometrically, algorithmically – as “suspicious.” Those students who are identified as “out of place.” Not in the right major. Not in the right class. Not in the right school. Not in the right country. Those students who are identified – through surveillance and through algorithms – as “at risk.” At risk of failure. At risk of dropping out. At risk of not repaying their student loans. At risk of becoming “radicalized.” At risk of radicalizing others. [source](http://hackeducation.com/2017/02/02/ed-tech-and-trump)


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