This study investigated the link between the cognitive clusters from the Woodcock–Johnson III Tests of Cognitive Ability (WJ III COG) and Broad Math, Math Calculation Skills, and Math Reasoning clusters of the Woodcock–Johnson III Tests of Achievement (WJ III ACH) using data collected over seven years by a large elementary school district in the Southwest. The students in this study were all diagnosed with math learning disabilities. Multiple regression analyses were used to predict performance on the Broad Math, Math Calculation Skills, and Math Reasoning clusters from the WJ III ACH. Fluid Reasoning (Gf), Comprehension–Knowledge (Gc), Short–Term Memory (Gsm), and Long–term Retrieval (Glr) demonstrated strong relations with Broad Math and moderate relations with Math Calculation Skills. Auditory Processing (Ga) and Processing Speed (Gs) demonstrated moderate relations with Broad Math and Math Calculation Skills. Visual–Spatial Thinking (Gv) and Processing Speed (Gs) demonstrated moderate to strong relations with the mathematics clusters. The results indicate that the specific cognitive abilities of students with math learning disabilities may differ from their peers.

Individual and group accountability is an important part of productive group work. However, classroom evaluation of teamwork often relies on top-down assessment of group product by the teacher. Other methods include averaging group grades, group discussions, evaluative essays and random selection and application of one member's grade to the entire team. In contrast, the Teamwork Skills Inventory (TSI) developed by Strom and Strom provides assessment of individual conduct and contributions as observed by peers. The instrument also affords students with the opportunity to judge their own performance. Team members are responsible for their own behavior and skill development but are not held accountable for the actions taken by others. The TSI provides criteria for productive teamwork skills and behaviors. Students know in advance the criteria by which they and their teammates will judge each other's behavior skills. In turn, students have the opportunity to practice self-evaluation as they apply the same criteria to assess their own conduct. Self-evaluation compared with peer-evaluation provides support for confidence in behavioral strengths and can guide goal setting in areas where skills are weak and need adjustment. The TSI gives teachers an insider's view of group dynamics: the obstacles and benefits groups may encounter. Since team members have the vantage point of close interaction with peers they are more likely to know how individuals affect the thinking of others in a group. This frees teachers from the difficult task of judging group dynamics. TSI results can guide teachers in developing lessons that address the needs of individuals and groups. Data derived from the TSI can help schools provide for the needs of subgroups, such as special education and gifted classes. It can also help schools detect in-service needs for faculty and provide schools with a method of community accountability for use with cooperative learning methods and social skill achievement.

Meeting state and federal standards is a consistent challenge for schools and their students. Although states were mandated under the No Child Left Behind Act to provide Supplemental Educational Services, such as tutoring, to underperforming schools, the current education policy under the Obama administration does not specifically address the issue of tutoring. Rather, the Recovery Act implemented in 2009, asks states to reform and improve their education systems and schools to increase success and achievement for all students. One method for increasing student achievement and decreasing the gap between groups--thereby meeting the standards mandated by local, state, and federal governments--is tutoring. Obtaining information about and seeking views on tutoring is crucial before it can be applied to school reform. The present study utilized an online poll about tutoring to obtain students' views and to examine meaningful outcomes with regard to demographic variables. Results indicated that the polls' response items had more significant relationships with the variables of age, grade, and school than with those of gender and ethnicity. The response rate for items exhibited the most differences within ethnic groups and age, grade, and school. Each question provided insights to help inform school decision-making and improvement plans; for example, students in younger grades needed more support in spelling and math, whereas adolescents in upper grades reported more difficulty with science and math. Using the results of the present study, schools and districts can tailor and implement changes accordingly; for example, they can develop the best method for a particular demographic group to relay information about tutoring. In this way, strategies can be created and applied for individualized subgroups, thereby maximizing success for all students. The insights gained about tutoring from the ones who have the most at stake--the students--will provide the basis for designing and implementing effective tutoring programs in the schools. Electronic polls are an effective method for gathering student perceptions, providing the foundation for successful school reform and student success, in addition to building a learning community for all stakeholders.