Educator use of algorithmic advice in decision making: Results from a virtual course recommendation simulation

Algorithms may be better at prediction than humans in a variety of contexts, but they are not perfect. A deeper understanding of the ways in which educators use and trust algorithmic advice within their professional domain is needed. Educators are a particularly unique professional group, in comparison with the other groups studied in the literature, and will likely be the on-the-ground employees expected to integrate algorithmic advice into their pedagogical planning and decision making. This q