In 2014, developmental education became optional for many college students in Florida, regardless of prior academic preparation. This study investigated first-semester math course enrollment patterns for underprepared first-time-in-college (FTIC) students who would have previously been required to take developmental math and the passing rates for the students electing to take Intermediate Algebra (the most common gateway math course in Florida). We found that roughly a 3rd of underprepared students enrolled in developmental math, a 3rd enrolled in Intermediate Algebra, and roughly a 3rd enrolled in no math course whatsoever, with preparation level being related to enrollment pathways. Among those who enrolled in Intermediate Algebra, a small percentage also enrolled in developmental math in the same semester, either through a compressed or corequisite course, and FTIC students who received same-semester developmental support were more likely to pass Intermediate Algebra compared with similar underprepared students who took Intermediate Algebra without developmental support.

Much of learning disabilities research relies on categorical classification frameworks that use psychometric tests and cut points to identify children with reading or math difficulties. However, there is increasing evidence that the attributes of reading and math learning disabilities are dimensional, representing correlated continua of severity. We discuss issues related to categorical and dimensional approaches to reading and math disabilities, and their comorbid associations, highlighting problems with the use of cut points and correlated assessments. Two simulations are provided in which the correlational structure of a set of cognitive and achievement data are simulated from a single population with no categorical structures. The simulations produce profiles remarkably similar to reported profile differences, suggesting that the patterns are a product of the cut point and the correlational structure of the data. If dimensional approaches better fit the attributes of learning disability, new conceptualizations and better methods to identification and intervention may emerge, especially for comorbid associations of reading and math difficulties.