Reaching the Mountaintop: Addressing the Common Core Standards in Mathematics for Students with Mathematics Difficulties

The Common Core State Standards provide teachers with a framework of necessary mathematics skills across grades K‐12, which vary considerably from previous mathematics standards. In this article, we discuss concerns about the implications of the Common Core for students with mathematics difficulties (MD), given that students with MD, by definition, struggle with mathematical skills. We suggest that instruction centered on the Common Core will be challenging and may lead to problematic outcomes for this population. We propose that working on foundational skills related to the Common Core standards is a necessary component of mathematics instruction for students with MD, and we provide teachers with a framework for working on foundational skills concurrent with the Common Core standards. We caution, however, that implementation of the Common Core is in its infancy, and the implications of the Common Core for students with MD need to be monitored carefully.     

Improving Performance in a Nuclear Cardiology Department

ABSTRACT Improving performance in the medical industry is an area that is ideally suited for the tools advocated by the International Society of Performance Improvement (ISPI). This paper describes an application of the tools that have been developed by Dale Brethower and Geary Rummler, two pillars of the performance improvement industry. It allows the reader to follow a step‐by‐step approach in a project conducted within a cardiology practice. The tools we used are grounded in behavioral systems analysis as well as in applied behavior analysis. The paper describes how these tools help improve the throughput of a department within a medical practice, while taking into account that this department is one part of the entire medical practice, as well as the local and national medical community. Each tool utilized is shown as it fits into the puzzle of solving the problem described by the client.     

Characteristics of the start in women's World Cup skeleton

This study characterizes key elements of the start in elite female World Cup skeleton athletes. The top 20 female competitors in three World Cup races were videotaped within a calibrated space to allow the following components of the start to be quantified: (1) acceleration (velocity at 15-m mark, time to 15-m mark), (2) capacity (time to load, total number of steps to load), and (3) load (velocity at 45-m mark). A correlation analysis was used to establish the relationship between the variables of interest and overall start time (15- to 65-m mark). Velocity at the 15-m mark accounted for 86% of the variance in overall start time at St. Moritz and 85% at Sigulda. A stepwise regression analysis revealed that approximately 89% of the variation in start time could be explained by velocity at the 15-m mark, time to load, and velocity at the 45-m mark. Of the variables analysed in this study, rapid acceleration to attain a high velocity at the 15-m mark was the most important component of a fast overall start time. The importance of the time to load and velocity at the 45-m mark vary according to the different track characteristics.     

An operational definition of learning disabilities (cognitive domain) using WISC full scale IQ and peabody individual achievement test scores

An operational index of discrepancy to assist in identifying learning disabilities (LD) in the cognitive domain was derived using the Full Scale IQ, Wechsler Intelligence Scale for Children (Wechsler, 1949, and relevant subtest scores on the Peabody Individual Achievement Test (PIAT) (Dunn and Markwardt, 1970. The index was applied to all legally identified LD children (N = 60) of a Michigan county who were in the LD program (1% of the total elementary school population of 6000 children). Of the 50 males and 10 females (mean age: 9 years 2 months; mean IQ: 91), the index identified 74% and 30% respectively as may be LD in the cognitive domain. This comprised 67% of the 60 children, or 2/3 of 1 % of the total elementary school population. Of the 67% may be LD children, 93% had discrepancy low PIAT subtest scores in Reading Recognition, 88% in Reading Comprehension, 83% in Spelling, and 52% in Arithmetic. Considerable caution should be exercised when classifying children, especially females, as LD.     

Dual Credit/Dual Enrollment and Data Driven Policy Implementation

The use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics were calculated using the generalized linear mixed model function in SPSS. For the final analysis, a two-level, propensity score weighted, multinomial logistic regression model was developed. Findings of this study are that even after controlling for selection bias, variation across high schools, and several education and socioeconomic status variables, dual credit/dual enrollment was significantly related to increased odds of enrolling at both four-year institutions and community colleges upon high school graduation. The opportunity presented by dual credit expansion and related policy recommendations are explored within the state and federal completion agenda context.