Oakland Literacy Podcast

#15: Student Data, Mining of this Data, and Implications

Informações:

Sinopse

The ability to collect, and store, vast amounts of information about students is becoming increasingly easier and cheaper. At its best, this information can be used to support students, at its worst, the information can be used against students often without their knowledge. This information can be stored, and manipulated, forever. Chris Gilliard, Hugh Culik, Daniel Hoops and Jason Almerigi provide an insightful and interesting discussion on this issue. Some links to sites mentioned in the podcast: FERPA COPPA Data Quality Campaign A Parents Guide to Student Privacy Data Mining and Students: A Curated Resource