Direct and indirect measures of writing for nonlearning disabled and learning disabled college students

Direct and indirect measures were used to compare the written language abilities of three groups of college students: two with learning disabilities and one without learning disabilities. Main effects were found for group, but not gender. Differences between nonlearning disabled students (NLD) and those with learning disabilities (LD) in writing were evident on both types of measures. Performance by LD students with disabilities in an area other than writing differed depending on the type of measure and often was no different from either of the other two groups. The combined use of direct and indirect measures appeared most effective for examining the complexities of writing produced by all groups.     

Education reform and subject matter knowledge

This article raises the question of what K–12 teachers need to know to teach mathematics and science well. It begins by examining reform proposals for K–12 science and mathematics teaching with an eye toward defining what good teaching practice consists of. It then examines a wide range of literature to delineate the varieties of knowledge that have been associated with this kind of teaching. While the focus is on subject matter knowledge, the article addressed the character of that knowledge rather than the content of that knowledge. Types of knowledge identified in the literature include conceptual understanding of the subject, pedagogical content knowledge, beliefs about the nature of work in science and mathematics, attitudes toward these subjects, and actual teaching practices with students. The literature is incomplete with respect to which of these is relatively more or relatively less important. © 1998 John Wiley & Sons, Inc. J Res Sci Teach 35: 249–263, 1998.     

Race differences on the developmental test of Visual Motor Integration,the Slosson Intelligence Test,and the ABC Inventory

Preschoolers' scores on the Developmental Test of Visual Motor Integration (VMI), the Slosson Intelligence Test (SIT), and the ABC Inventory (ABCI) were analyzed for race and sex differences. Separate ANOVAs revealed no race effect on the VMI, whereas race differences favoring whites were found for the SIT and ABCI. There were no effects for sex on any measure, nor were there any interactions. Results are discussed in terms of the inconsistent findings for race effects in the perceptual-motor literature.     

Gender and use of instructional technologies: A study of university faculty

Instructional technologies have the potential to help highereducation faculty address increasing demands on their time and energy. Thisstudy investigated technology use by faculty at medium-sized, publicuniversity in the midwestern United States. Because a number of studies haveshown gender differences in technology use, survey data were analyzed alonggender lines. Results showed that males rated their knowledge and experiencewith some innovative technologies higher than did females. For frequency ofuse, no significant differences were found, with the exception of video,where females indicated slightly more frequent use. Both rated technologiesas important to instruction. For factors influencing technology use, femalesrated time to learn a technology, increased student learning, ease of use,training, and available information in discipline as more important than didmales. Such incentives as release time, merit pay, contribution to promotionand tenure, monetary rewards, and recognition by the university were ratedmore important by women, as were the barriers of lack of time and lack ofcontribution to professional advancement. These findings suggest that genderdifferences in technology use by university faculty may exist and need to beaddressed.     

First-grade cognitive abilities as long-term predictors of reading comprehension and disability status

In a sample of 195 first graders selected for poor reading performance, the authors explored four cognitive predictors of later reading comprehension and reading disability (RD) status. In fall of first grade, the authors measured the children's phonological processing, rapid automatized naming (RAN), oral language comprehension, and nonverbal reasoning. Throughout first grade, they also modeled the students' reading progress by means of weekly Word Identification Fluency (WIF) tests to derive December and May intercepts. The authors assessed their reading comprehension in the spring of Grades 1-5. With the four cognitive variables and the WIF December intercept as predictors, 50.3% of the variance in fifth-grade reading comprehension was explained: 52.1% of this 50.3% was unique to the cognitive variables, 13.1% to the WIF December intercept, and 34.8% was shared. All five predictors were statistically significant. The same four cognitive variables with the May (rather than December) WIF intercept produced a model that explained 62.1% of the variance. Of this amount, the cognitive variables and May WIF intercept accounted for 34.5% and 27.7%, respectively; they shared 37.8%. All predictors in this model were statistically significant except RAN. Logistic regression analyses indicated that the accuracy with which the cognitive variables predicted end-of-fifth-grade RD status was 73.9%. The May WIF intercept contributed reliably to this prediction; the December WIF intercept did not. Results are discussed in terms of a role for cognitive abilities in identifying, classifying, and instructing students with severe reading problems.