New Topics in Social Computing: Data and Education
In this discussion, we will consider how younger generations are growing up with data collection normalized and with increasingly limited opportunities to opt-out. Issues of surveillance, privacy, and consent have particular implications in the context of school systems. As education and technology writer Audrey Watters explains, “many journalists, politicians, entrepreneurs, government officials, researchers, and others … argue that through mining and modeling, we can enhance student learning and predict student success.” Administrators, even working with the best intentions, might exaggerate systemic biases or create other unintended consequences through use of new technologies. We we consider new structural obstacles involving metrics like learning analytics, the labor politics of data, and issues of data privacy and ownership.
Panelists: Sava Saheli Singh, Tressie McMillan Cottom, and Karen Gregory
(via EyebeamNYC)
