Andrew Koepp

Andrew is an applied developmental psychologist studying how young children learn to manage their attention and behavior in the classroom. He uses wearable accelerometers to capture children’s inattentive and impulsive behaviors, leveraging the objective and continuous recording of movement to understand daily fluctuations in children’s behavior. With support from Penn’s Data Driven Discovery Initiative, Andrew will apply supervised machine learning methods to evaluate which features of children’s movement (i.e., amount, intensity, onset, duration) best predict teacher ratings of children’s impulsivity and inattention. Andrew also looks forward to using unsupervised clustering techniques to identify temporal patterns of children’s behavior and network analysis to study social dynamics in the classroom.