Approaches to concept formation tend to rely solely on similarities in the data, with the few that take into consideration causalities in the background knowledge doing so prior to or upon completion of a similarity-based learning phase. In this paper, we examine a multistrategic approach to misconception discovery that utilizes data and theory in a more tightly coupled way.
