New software aims to help instructors understand students better
In 2018, pending agreement from its Institutional Review Board, the University of St Thomas in Minnesota will trial sentiment analysis software in the classroom in order to test the software, which relies on analysing the expressions on students' faces captured by a high-resolution webcam. Instructors will be able to see the aggregate detected emotions of up to 42 students displayed in a glance at their computer screen. The project hopes to help teachers adapt their approaches in response, but has not decided yet how much students should know in advance about sentiment analysis. It also hopes to use time-stamped archived materials to provide a more granular post-class analysis. The technology is already able to make a reasonably accurate guess at age and gender.
Writer: Mark Lieberman
Publication: Inside Higher Ed
People must know
People must be able to know what data is being generated by devices, the networks and platforms we use, and the infrastructure within which devices become embedded. People should be able to know and ultimately determine the manner of processing.
Limit data analysis by design
As nearly every human interaction now generates some form of data, systems should be designed to limit the invasiveness of data analysis by all parties in the transaction and networking.
Control over intelligence
Individuals should have control over the data generated about their activities, conduct, devices, and interactions, and be able to determine who is gaining this intelligence and how it is to be used.
We should know all our data and profiles
Individuals need to have full insight into their profiles. This includes full access to derived, inferred and predicted data about them.