Science learning is most often examined within formal education contexts, even though students spend more of their lives outside of the classroom. Students may interact with scientific phenomena during these out-of-school experiences, providing additional opportunities for learning to take place. Prior studies have found that optional science…

Understanding complex systems requires reasoning about causal relationships that behave or appear to behave probabilistically. Features such as distributed agency, large spatial scales, and time delays obscure co-variation relationships and complex interactions can result in non-deterministic relationships between causes and effects that are best…

Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…