Two relatively common disabilities reported by college students are attentiondeficit/hyperactivity disorder (ADHD) and learning disabilities (LD). Many questions remain regarding how best to support these students and whether services such as advising, coaching, and tutoring lead to significant academic gains. The current study examined the effect of support services on the GPA of students with LD and/or ADHD at a campus that specifically serves this population by tracking students' support service usage and GPAs over a 5-year period. Results indicate that although most students who choose to receive coaching support experience academic gains, it is students with ADHD who obtain the greatest gains in GPA as a result of this support. Additionally, although tutoring can be of benefit to all students, significant GPA gains were obtained only for students with an LD diagnosis. Thus, there is a need to provide targeted supports aimed at addressing students' specific areas of challenge.

No abstract

The purpose of the study was to compare the use of a Computer Adaptive Test and Curriculum-Based Measurement in the assessment of mathematics. This study also investigated the degree to which slope or rate of change predicted student outcomes on the annual state assessment of mathematics above and beyond scores of single point screening assessments (i.e., the computer adaptive test or the CBM assessment just before the administration of the state assessment). Repeated measurement of mathematics once per month across a 7-month period using a Computer Adaptive Test (STAR-Math) and Curriculum-Based Measurement (CBM, AIMSweb Math Computation, AIMSweb Math Concepts/Applications) was collected for a maximum total of 250 third, fourth, and fifth grade students. Results showed STAR-Math in all 3 grades and AIMSweb Math Concepts/Applications in the third and fifth grades had primarily linear growth patterns in mathematics. AIMSweb Math Computation in all grades and AIMSweb Math Concepts/Applications in Grade 4 had decelerating positive trends. Predictive validity evidence showed the strongest relationships were between STAR-Math and outcomes for third and fourth grade students. The blockwise multiple regression by grade revealed that slopes accounted for only a very small proportion of additional variance above and beyond what was explained by the scores obtained on a single point of assessment just prior to the administration of the state assessment.

No abstract

No abstract