So Andrew and his students went in, looked at some of those assignments, understood the root cause of the misconception, and then they produced a targeted error message that would be provided to every student whose answer fell into that bucket, which means that students who made that same mistake would now get personalized feedback telling them how to fix their misconception much more effectively.
Andrew y sus estudiantes revisaron algunas de las tareas para entender la causa de la equivocación y elaboraron una explicación específica que enviaron a quienes daban esa respuesta equivocada, y así los estudiantes que cometían ese error recibían retroalimentación personalizada indicándoles de manera efectiva cómo corregirlo.